Alternatives to Informatica Test Data Management

Compare Informatica Test Data Management alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Informatica Test Data Management in 2026. Compare features, ratings, user reviews, pricing, and more from Informatica Test Data Management competitors and alternatives in order to make an informed decision for your business.

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    Sahi Pro

    Sahi Pro

    Tyto Software Pvt Ltd

    Sahi Pro is a no-code test automation tool for web, desktop, mobile, and SAP applications. Sahi Pro empowers business testers and automation engineers to streamline their test automation processes. Sahi Pro reduces the time, effort, and complexity involved in test automation, making it an ideal choice for various domains including automobile, healthcare and BFSI. Features: 1. Non-flaky Test Execution - For reliable test results and reduced time wastage in analysis of false-positives or false-negatives. 2. Supports Multiple Technologies - Achieve end to end automation across technologies. 3. No-code Automation - Enable non-technical business testers to automate. 4. Integrations - Integrate and work with your existing ecosystem. Testers using Sahi Pro easily automate complex tests without writing code. With Sahi Pro, you can achieve faster release cycles, improved software quality, & reduced costs. Our customers love Sahi Pro for its speed, flexibility, and ease of use.
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    DATPROF

    DATPROF

    DATPROF

    Test Data Management solutions like data masking, synthetic data generation, data subsetting, data discovery, database virtualization, data automation are our core business. We see and understand the struggles of software development teams with test data. Personally Identifiable Information? Too large environments? Long waiting times for a test data refresh? We envision to solve these issues: - Obfuscating, generating or masking databases and flat files; - Extracting or filtering specific data content with data subsetting; - Discovering, profiling and analysing solutions for understanding your test data, - Automating, integrating and orchestrating test data provisioning into your CI/CD pipelines and - Cloning, snapshotting and timetraveling throug your test data with database virtualization. We improve and innovate our test data software with the latest technologies every single day to support medium to large size organizations in their Test Data Management.
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    Testsigma

    Testsigma

    Testsigma

    Testsigma is a low-code end-to-end software testing platform that works out of the box. It's built to enable modern Product teams to collaboratively plan, develop, execute, analyze, debug, and report on their automated testing—for websites, native Android and iOS apps, and APIs. Testsigma test scripts are code-agnostic. While the platform itself is built with Java, you can write test scripts in simple English or use the Test Recorder to generate airtight test scripts for websites and native mobile apps. You can also use the test recorder on your own device farm/grid or on Testsigma's built-in device lab on the cloud. The platform has built-in visual testing, parametrized or data-driven testing, 2FA testing, and more advanced features for easy test automation. Our AI automatically fixes unstable elements and test steps, identifies and isolates regression-affected scripts, and provides suggestions to help you find and fix test failures.
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    IRI Voracity

    IRI Voracity

    IRI, The CoSort Company

    Voracity is the only high-performance, all-in-one data management platform accelerating AND consolidating the key activities of data discovery, integration, migration, governance, and analytics. Voracity helps you control your data in every stage of the lifecycle, and extract maximum value from it. Only in Voracity can you: 1) CLASSIFY, profile and diagram enterprise data sources 2) Speed or LEAVE legacy sort and ETL tools 3) MIGRATE data to modernize and WRANGLE data to analyze 4) FIND PII everywhere and consistently MASK it for referential integrity 5) Score re-ID risk and ANONYMIZE quasi-identifiers 6) Create and manage DB subsets or intelligently synthesize TEST data 7) Package, protect and provision BIG data 8) Validate, scrub, enrich and unify data to improve its QUALITY 9) Manage metadata and MASTER data. Use Voracity to comply with data privacy laws, de-muck and govern the data lake, improve the reliability of your analytics, and create safe, smart test data
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    IRI FieldShield

    IRI FieldShield

    IRI, The CoSort Company

    IRI FieldShield® is powerful and affordable data discovery and masking software for PII in structured and semi-structured sources, big and small. Use FieldShield utilities in Eclipse to profile, search and mask data at rest (static data masking), and the FieldShield SDK to mask (or unmask) data in motion (dynamic data masking). Classify PII centrally, find it globally, and mask it consistently. Preserve realism and referential integrity via encryption, pseudonymization, redaction, and other rules for production and test environments. Delete, deliver, or anonymize data subject to DPA, FERPA, GDPR, GLBA, HIPAA, PCI, POPI, SOX, etc. Verify compliance via human- and machine-readable search reports, job audit logs, and re-identification risk scores. Optionally mask data as you map it. Apply FieldShield functions in IRI Voracity ETL, federation, migration, replication, subsetting, or analytic jobs. Or, run FieldShield from Actifio, Commvault or Windocks to mask DB clones.
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    BrowserStack

    BrowserStack

    BrowserStack

    BrowserStack is the world’s largest cloud platform for software testing, with 19 global data centers & 20,000+ real Android and iOS devices that power nearly 1 Billion tests a year. BrowserStack's end-to-end unified testing platform is focused on supporting all genres of testing & operations, from functional testing to visual testing, accessibility testing, performance testing, test observability, API testing, and more. Over 50,000 customers, including Amazon, Paypal, Well Fargo Bank, Nvidia, MongoDB, Pfizer, GE, Discovery, React JS, Apache, JQuery and several others rely on BrowserStack to test their web & mobile apps.
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    CloudTDMS

    CloudTDMS

    Cloud Innovation Partners

    CloudTDMS solution is a No-Code platform having all necessary functionalities required for Realistic Data Generation. CloudTDMS, your one stop for Test Data Management. Discover & Profile your Data, Define & Generate Test Data for all your team members : Architects, Developers, Testers, DevOPs, BAs, Data engineers, and more ... CloudTDMS automates the process of creating test data for non-production purposes such as development, testing, training, upgrading or profiling. While at the same time ensuring compliance to regulatory and organisational policies & standards. CloudTDMS involves manufacturing and provisioning data for multiple testing environments by Synthetic Test Data Generation as well as Data Discovery & Profiling. Benefit from CloudTDMS No-Code platform to define your data models and generate your synthetic data quickly in order to get faster return on your “Test Data Management” investments. CloudTDMS solves the following challenges : -Regulatory Compliance
    Starting Price: Starter Plan : Always free
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    IRI RowGen

    IRI RowGen

    IRI, The CoSort Company

    Stop relying on confidential production data. Masked data may not be realistic or robust enough either. IRI RowGen uses your metadata and business rules to make better test data. Persistent or virtual test sets improve DB/ETL prototypes and speed DevOps. Use the high quality, high volume database, file, report or DataVault targets you create and populate with RowGen's graphical job wizards in in the IRI Workbench IDE (built on Eclipse) to stress-test and future-proof new software and systems. RowGen lets you customize data formats, volumes, ranges, distributions, and other properties on the fly or with re-usable rules that support major goals like application testing and subsetting. RowGen uses the IRI CoSort engine to deliver the fastest generation, transformation, and bulk-load movement of big test data on the market. You can also leverage RowGen functionality in CI/CD pipelines like GitLab, cloned DBs via Windocks et al, and purpose-built TDM hubs from Cigniti or ValueLabs.
    Starting Price: $8000 on first hostname
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    Qlik Gold Client
    Qlik Gold Client improves the efficiency, cost and security of managing test data in SAP environments. Qlik Gold Client is designed to eliminate development workarounds by easily moving configuration, master, and transactional data subsets into testing environments. Rapidly define, copy and synchronize transactional data from production to non-production targets. Identify, select, and delete non-production data. Manage extensive and powerful data transformations through a clean and easy-to-use interface. Automate data selection and enable hands-free test data refresh cycles, reducing time and effort for test data management. Qlik Gold Client provides several options to protect PII data in non-production environments via data masking. Data masking applies a set of rules to “scramble” your production data when it’s replicated to a non-production environment.
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    Oracle Data Masking and Subsetting
    The growing security threats and ever-expanding privacy regulations have made it necessary to limit exposure of sensitive data. Oracle Data Masking and Subsetting helps database customers improve security, accelerate compliance, and reduce IT costs by sanitizing copies of production data for testing, development, and other activities and by easily discarding unnecessary data. Oracle Data Masking and Subsetting enables entire copies or subsets of application data to be extracted from the database, obfuscated, and shared with partners inside and outside of the business. The integrity of the database is preserved assuring the continuity of the applications. Application Data Modeling automatically discovers columns from Oracle Database tables containing sensitive information based on built-in discovery patterns such as national identifiers, credit card numbers, and other personally identifiable information. It also automatically discovers parent-child relationships defined in the database.
    Starting Price: $230 one-time payment
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    MOSTLY AI

    MOSTLY AI

    MOSTLY AI

    As physical customer interactions shift into digital, we can no longer rely on real-life conversations. Customers express their intents, share their needs through data. Understanding customers and testing our assumptions about them also happens through data. And privacy regulations such as GDPR and CCPA make a deep understanding even harder. The MOSTLY AI synthetic data platform bridges this ever-growing gap in customer understanding. A reliable, high-quality synthetic data generator can serve businesses in various use cases. Providing privacy-safe data alternatives is just the beginning of the story. In terms of versatility, MOSTLY AI's synthetic data platform goes further than any other synthetic data generator. MOSTLY AI's versatility and use case flexibility make it a must-have AI tool and a game-changing solution for software development and testing. From AI training to explainability, bias mitigation and governance to realistic test data with subsetting, referential integrity.
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    IRI Data Manager

    IRI Data Manager

    IRI, The CoSort Company

    The IRI Data Manager suite bundles the tools you need for faster data manipulation and movement: 1) CoSort makes light work of big data processing "heavy lifts" in DW ETL, BI/analytics, DB loads, sort/merge offload, etc. 2) FACT dumps very large database (VLDB) tables in parallel to flat files for ETL, DB migration, reorg, and archive. 3) NextForm performs and speeds file and table conversion, remapping, DB replication, data re-formatting, and federation. 4) RowGen subsets DBs or synthesizes structurally and referentially correct test data in tables, files, and reports. These IRI products address data integration and staging (ETL/ELT), big data packaging and provisioning, BI reporting and data wrangling (preparation) and DevOps. Use them alone or in the IRI Voracity platform to: improve data quality; speed sorting and data transformation; migrate and replicate data; replace legacy sorts; and, synthesize (plus virtualize) smart RDB and file test data.
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    Benerator

    Benerator

    Benerator

    Describe your data model on an abstract level in XML. Involve your business people as no developer skills are necessary. Use a wide range of function libraries to fake realistic data. Write your own extensions in Javascript or Java. Integrate your data processes into Gitlab CI or Jenkins. Generate, anonymize, and migrate with Benerator’s model-driven data toolkit. Define processes to anonymize or pseudonymize data in plain XML on an abstract level without the need for developer skills. Stay GDPR compliant with your data and protect the privacy of your customers. Mask and obfuscate sensitive data for BI, test, development, or training purposes. Combine data from various sources (subsetting) and keep the data integrity. Migrate and transform your data in multisystem landscapes. Reuse your testing data models to migrate production environments. Keep your data consistent and reliable in a microsystem architecture.
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    Solix Test Data Management

    Solix Test Data Management

    Solix Technologies

    Accurate test data improves application development and testing quality, which is why the most demanding application development teams require that their test data be populated from production databases frequently. It is not unusual for a Test Data Management (TDM) program to maintain six to eight full clones/copies of the production database for use as test and development instances. Without proper automation, provisioning test data is not only inefficient, time-consuming and storage intensive but it could also potentially expose sensitive data to unauthorized personnel leading to compliance risks. Since the cloning process creates such resource drain and data governance challenges, test and development databases are often not refreshed frequently enough resulting in inaccurate test results or even test failures. And of course, the cost of application development increases as the errors are discovered later in the application development lifecycle.
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    Syntho

    Syntho

    Syntho

    Syntho typically deploys in the safe environment of our customers so that (sensitive) data never leaves the safe and trusted environment of the customer. Connect to the source data and target environment with our out-of-the-box connectors. Syntho can connect with every leading database & filesystem and supports 20+ database connectors and 5+ filesystem connectors. Define the type of synthetization you would like to run, realistically mask or synthesize new values, automatically detect sensitive data types. Utilize and share the protected data securely, ensuring compliance and privacy are maintained throughout its usage.
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    Sixpack

    Sixpack

    PumpITup

    Sixpack is a data management platform designed to streamline synthetic data for testing purposes. Unlike traditional test data generation, Sixpack provides an endless supply of synthetic data, helping testers and automated tests avoid conflicts and resource bottlenecks. It focuses on flexibility by enabling allocation, pooling, and instant data generation while keeping data quality high and privacy intact. Key features include easy setup, seamless API integration, and the ability to support complex test environments. Sixpack integrates directly with QA processes, so teams save time on managing data dependencies, minimize data overlap, and prevent test interference. Its dashboard offers a clear view of active data sets, and testers can allocate or pool data according to project needs.
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    GenRocket

    GenRocket

    GenRocket

    Enterprise synthetic test data solutions. In order to generate test data that accurately reflects the structure of your application or database, it must be easy to model and maintain each test data project as changes to the data model occur throughout the lifecycle of the application. Maintain referential integrity of parent/child/sibling relationships across the data domains within an application database or across multiple databases used by multiple applications. Ensure the consistency and integrity of synthetic data attributes across applications, data sources and targets. For example, a customer name must always match the same customer ID across multiple transactions simulated by real-time synthetic data generation. Customers want to quickly and accurately create their data model as a test data project. GenRocket offers 10 methods for data model setup. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.
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    EMS Data Generator for MySQL

    EMS Data Generator for MySQL

    EMS Software Development

    EMS Data Generator for MySQL is an impressive tool for generating test data to MySQL database tables with the possibility to save and edit scripts. The utility can help you to simulate the database production environment and allows you to populate several MySQL database tables with test data simultaneously, define tables and fields for generating data, set value ranges, generate MySQL char fields by mask, define lists of values manually or select them from SQL queries, set generation parameters for each field type and has many other features to generate MySQL test data in a simple and direct way. Data Generator for MySQL also provides a console application, which allows you to generate MySQL test data in one-touch by using generation templates.
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    IBM InfoSphere Optim Data Privacy
    IBM InfoSphere® Optim™ Data Privacy provides extensive capabilities to effectively mask sensitive data across non-production environments, such as development, testing, QA or training. To protect confidential data this single offering provides a variety of transformation techniques that substitute sensitive information with realistic, fully functional masked data. Examples of masking techniques include substrings, arithmetic expressions, random or sequential number generation, date aging, and concatenation. The contextually accurate masking capabilities help masked data retain a similar format to the original information. Apply a range of masking techniques on-demand to transform personally-identifying information and confidential corporate data in applications, databases and reports. Data masking features help you to prevent misuse of information by masking, obfuscating, and privatizing personal information that is disseminated across non-production environments.
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    K2View

    K2View

    K2View

    At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.
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    BMC Compuware File-AID
    Today’s Agile DevOps teams need the ability to go faster. BMC Compuware File-AID provides a cross-platform file and data management solution that enables developers and QA staff to quickly and conveniently access necessary data and files instead of hunting around for them. In turn, developers devote less time to data-related tasks and spend more time developing new functionality and managing production problems. Rightsizing your test data provides confidence to make code changes without unintended consequences. Access all standard file types regardless of record length or format for application integration. Compare data files or objects to simplify the test results validation process. Reformat files by easily modifying an existing file format instead of starting from scratch. Extract and load related subsets of data from multiple databases and files & more.
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    BMC Compuware Topaz for Enterprise Data
    Visualize vast quantities of data objects, understand their relationships, and tune related data extracts to create optimal test data. Compare files, including those that exist on different LPARs, expanding the ability to quickly and frequently assess the impact of your changes. Simplify the complex task of managing data and preparing data for testing by enabling developers and test engineers to perform data-related tasks without writing programs or scripts, coding SQL, or using multiple utilities. Enable developers, test engineers, and analysts to be more self-sufficient by provisioning data when needed, reducing reliance on subject matter experts. Improve application quality with better testing scenarios, simplifying the task of creating complete data extracts for testing purposes, and accurately identifying the impact of changing pieces of data.
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    Solix EDMS

    Solix EDMS

    Solix Technologies

    The Solix Enterprise Data Management Suite (Solix EDMS) brings together all the tools for an effective Information Lifecycle Management (ILM) program. From a single web-based console, the platform offers industry-leading database archiving, test data management, data masking, and application retirement solutions. Solix EDMS is designed to control costs, boost application performance and availability, and meet compliance objectives. It offers universal access to all archived data for business users through full-text search, structured SQL queries, forms & reports. Solix EDMS helps you quickly identify infrequently accessed historic data from your production applications, and ‘move’ it to a secure archive with data integrity and access preserved. Retention management holds the archived data for a given period of time, and purges the data automatically, or manually when the data retention policy meets its criteria.
  • 24
    Datanamic Data Generator
    Datanamic Data Generator is a powerful data generator that allows developers to easily populate databases with thousands of rows of meaningful and syntactically correct test data for database testing purposes. An empty database is not useful for making sure your application will work as designed. You need test data. Writing your own test data generators or scripts is time consuming. Datanamic Data Generator will help you. The tool can be used by DBAs, developers, or testers, who need sample data to test a database-driven application. Datanamic Data Generator makes database test data generation easy and painless. It reads your database and displays tables and columns with their data generation settings. Only a few simple entries are necessary to generate comprehensive (realistic) test data. The tool can be used to generate test data from scratch or from existing data.
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    Informatica Persistent Data Masking
    Retain context, form, and integrity while preserving privacy. Enhance data protection by de-sensitizing and de-identifying sensitive data, and pseudonymize data for privacy compliance and analytics. Obscured data retains context and referential integrity remain consistent, so the masked data can be used in testing, analytics, or support environments. As a highly scalable, high-performance data masking solution, Informatica Persistent Data Masking shields confidential data—such as credit card numbers, addresses, and phone numbers—from unintended exposure by creating realistic, de-identified data that can be shared safely internally or externally. It also allows you to reduce the risk of data breaches in nonproduction environments, produce higher-quality test data and streamline development projects, and ensure compliance with data-privacy mandates and regulations.
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    Tonic

    Tonic

    Tonic

    Tonic automatically creates mock data that preserves key characteristics of secure datasets so that developers, data scientists, and salespeople can work conveniently without breaching privacy. Tonic mimics your production data to create de-identified, realistic, and safe data for your test environments. With Tonic, your data is modeled from your production data to help you tell an identical story in your testing environments. Safe, useful data created to mimic your real-world data, at scale. Generate data that looks, acts, and feels just like your production data and safely share it across teams, businesses, and international borders. PII/PHI identification, obfuscation, and transformation. Proactively protect your sensitive data with automatic scanning, alerts, de-identification, and mathematical guarantees of data privacy. Advanced sub setting across diverse database types. Collaboration, compliance, and data workflows — perfectly automated.
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    Infosys Test Data Management
    Infosys Test Data Management offering ensures a high degree of test coverage, by providing the right data, in the right quantity, and at the right time, in a non-production environment. It addresses Agile and DevOps integration, provides self-service data capability, leverages Machine learning for Data profiling and sensitivity analysis, intelligent data masking. It also ensures provision of data to cloud-based large Big Data transformation programs. The offering blends data management practices, in-house test data management tools and partner solutions to deliver end-to-end traceability of test data.
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    BMC Test Data Management
    BMC Compuware offers a comprehensive Test Data Management solution which includes an end-to-end combination of the technology, expertise, and best practices needed to support a data protection and optimization initiative across the enterprise. By implementing a TDM solution, an organization can reduce its risk of exposure, increase productivity, and reduce the overall test data footprint, all while lowering the cost of managing data. BMC Compuware Test Data Management Best Practice is one of the key components of the solution. It provides the guiding principles to build or enhance the process of preparing secure data environments to support the IT functions related to the usage and delivery of data in production-like conditions such as testing, training, etc. It allows for right-sized, desensitized, on-demand data. The solution allows for the diverse technical, organizational and political challenges associated with the protection of proprietary information.
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    BizDataX

    BizDataX

    Ekobit

    BizDataX is a data masking that provides test data of production-level quality. It enables compliance with GDPR and other regulations by masking customers' identity while preparing data for testers and developers. By using masked/anonymized data instead of production data, the risk is significantly reduced. Focus on policy management, business requirements, sensitive data governance and other regulations. Track inventory of databases, data sources, tables and want to know where sensitive data is located. Manage large customer databases and exchange data with online partner shops and parcel delivery companies. Management of medical records is heavily regulated and regulatory compliance can be achieved with data anonymization.
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    Tonic Ephemeral
    Stop wasting time provisioning and maintaining databases yourself. Effortlessly create isolated test databases to ship features faster. Equip your developers with the ready-to-go data they need to keep fast-paced projects on track. Spin up pre-populated databases for testing purposes as part of your CI/CD pipeline, and automatically tear them down once the tests are done. Quickly and painlessly spin up databases at the click of a button for testing, bug reproduction, demos, and more with built-in container orchestration. Use our patented subsetter to shrink PBs down to GBs without breaking referential integrity, then leverage Tonic Ephemeral to spin up a database with only the data needed for development to cut cloud costs and maximize efficiency. Pair our patented subsetted with Tonic Ephemeral to get all the data subsets you need for only as long as you need them. Maximize efficiency by getting your developers access to one-off datasets for local development.
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    IBM InfoSphere Optim
    By managing data properly over its lifetime, organizations are better equipped to support business goals with less risk. Archive data from decommissioned applications and historical transaction records, while providing ongoing access to the data for query and reporting that is compliant with retention regulations. Scale data across applications, databases, operating systems and hardware platforms to help secure your test environments, accelerate release cycles and reduce costs. Lack of data archiving can impair the performance of mission-critical enterprise systems. Solve data growth problems at the source, improve efficiency and minimize the risks associated with managing structured data throughout its lifetime. Protect unstructured data in testing, development and analytics environments across the enterprise. Lack of data archiving can impair the performance of mission-critical enterprise systems. Solve data growth problems at the source, improve efficiency and minimize the risks.
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    Digital.ai Continuous Testing
    Test the new functionality of your mobile application by interacting with physical mobile devices in real-time from your browser. Create & execute hundreds of manual or automated tests in parallel on 1,000+ real IOS & Android devices in the cloud. Create Appium tests with ease directly from your IDE and enjoy real-time interaction and live debugging. Access visual test reports and advanced analytics. Automate your cross-browser testing by running Selenium tests on 1,000+ browser types, versions, and operating systems. Interact with your app in real-time and debug it. Perform visual testing to verify UI responsiveness across different resolutions. Intuitively develop new Appium tests or execute existing projects using Appium Studio. Easily test on iOS devices using a Windows machine, and enjoy advanced testing capabilities. Digital.ai Continuous Testing enables enterprises to test at scale, increase test coverage, and make data-driven decisions to deliver high-quality apps.
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    Rainforest QA

    Rainforest QA

    Rainforest QA

    No-code test automation for modern software teams. Rainforest QA makes it easy for developers and product managers to quickly automate and maintain end-to-end tests within any CI/CD pipeline. Create your first test in five minutes or less. Product builders should have control over product quality. With Rainforest, anyone on your team can write, run, and maintain automated UI tests and triage test results – without any code. Use our API, CLI, or one of our direct integrations with popular CI tools. No need to provision and configure multiple tools – Rainforest’s got everything you need to get started right away.
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    CA Service Virtualization
    Service Virtualization lets you capture and simulate the behavior of constrained or unavailable systems for faster parallel testing, higher application quality and reliability. What if that API, micro-service, mainframe or 3rd party systems are not available to test against? Service virtualization provides DevOps and testing teams across the application development and delivery ecosystem with a chain of API test capabilities that are automated and easy to maintain—saving time and effort. Our solution has the ability to virtualize APIs and drive API tests at any layer, even for unavailable or isolated systems. Service Virtualization eliminates constraints by creating simulations of needed systems and making them available throughout the software development lifecycle. Developers, testers, and performance teams work in parallel. The result is faster delivery, lower costs, and higher quality of innovative new software applications.
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    Storybook

    Storybook

    Storybook

    Storybook provides a sandbox to build UIs in isolation so you can develop hard-to-reach states and edge cases. Implement components and pages without needing to fuss with data, APIs, or business logic. Render components in key states that are tricky to reproduce in an app. Save use cases as stories in plain JavaScript to revisit during development, testing, and QA. Use addons to customize your workflow, automate testing, and integrate with your favorite tools. Stories are a pragmatic, reproducible way to keep track of UI edge cases. Write stories once then reuse them to power automated tests. Whenever you write a story you get a handy test case. Quickly browse stories to make sure your UI looks right. Pinpoint UI changes down to the pixel by comparing image snapshots of stories. Reuse stories in your unit tests to confirm nuanced functionality. Stories show how UIs actually work not just how they're supposed to work. That makes gathering feedback and reproductions easy.
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    TestBench for IBM i

    TestBench for IBM i

    Original Software

    Testing and test data management for IBM i, IBM iSeries, AS/400. Complex IBM i applications must be checked from top to bottom, right into the data, wherever it is. TestBench IBM i is a comprehensive, proven test data management, verification and unit testing solution that integrates with other solutions for total application quality. Stop copying the entire live database and hone in on the data you really need. Select or sample data with full referential integrity preserved. Simply decide which fields need to be protected and use a variety of obfuscation methods to protect your data. Track every insert, update and delete including intervening data states. Create rules so that data failures are flagged to you automatically. Avoid the painful save/restores and stop attempting to explain bad test results based on poor initial data. Comparing outputs is a well proven method to verify your test results but it can be laborious and prone to error. This unique solution can save hours.
    Starting Price: $1,200 per user per year
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    Newtera

    Newtera

    Newtera

    Testing is an indispensable important technical means in the process of product development, manufacturing, and maintenance. It plays a vital role in optimizing product performance, extending product life, improving product quality, and controlling costs. However, in the course of enterprise testing, a large amount of accumulated test data has not been managed and utilized. How to manage and organize these scattered, diverse, and complex format test data has always been a difficult problem for test managers. At the same time, how to rationally allocate test resources, efficiently use test benches and test equipment, and how to standardize test procedures to ensure the accuracy and efficiency of the test and avoid repetition have become the bottleneck restricting the test level and test efficiency of the enterprise. In response to the problems faced by the enterprise trial business, the TDM system came into being.
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    Mage Static Data Masking
    Mage™ Static Data Masking (SDM) and Test data Management (TDM) capabilities fully integrate with Imperva’s Data Security Fabric (DSF) delivering complete protection for all sensitive or regulated data while simultaneously integrating seamlessly with an organization’s existing IT framework and existing application development, testing and data flows without the requirement for any additional architectural changes.
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    TechArcis

    TechArcis

    TechArcis Solutions

    Techarcis is a chosen partner that companies trust and rely upon to quality assurance software testing and software solutions. We are experts in quality engineering, and software quality testing, our cost-effective testing solutions helps our clients to faster roll out their products and software, build brand recognition and increase their revenue and profitability. In today’s competitive business landscape where customers demand and expectations undergo a constant change, quality and speed have become key factors to become successful. No wonder businesses are increasingly opting for DevOps and Agile to respond to market shifts quickly and stay ahead of the competitors. In this scenario, some think testing to be still a domain that developers and business analysts can handle but it can’t be farther from the truth. Testing is still a much required specialized skill with technical and domain expertise, though the role and necessary skills of testers have changed.
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    DOT Anonymizer

    DOT Anonymizer

    DOT Anonymizer

    Mask your personal data while ensuring it looks and acts like real data. Software development needs realistic test data. DOT Anonymizer masks your test data while ensuring its consistency, across all your data sources and DBMS. The use of personal or identifying data outside of production (development, testing, training, BI, external service providers, etc.) carries a major risk of data leak. Increasing regulations across the world require companies to anonymize/pseudonymize personal or identifying data. Anonymization enables you to retain the original data format. Your teams work with fictional but realistic data. Manage all your data sources and maintain their usability. Invoke DOT Anonymizer functions from your own applications. Consistency of anonymizations across all DBMS and platforms. Preserve relations between tables to guarantee realistic data. Anonymize all database types and files like CSV, XML, JSON, etc.
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    Upscene

    Upscene

    Upscene Productions

    Database design · database implementation · stored routine debuggers · test data generators · database auditing · data change logging · performance monitoring · data transfers · import and export of data · DBA tasks · reporting · performance testing · database release management. A fully featured test data generator tool: generates real-life-like data into your database or data files. The only comprehensive and up-to-date Firebird server monitoring tool available at the market. Database Workbench offers a single development environment for developing with multiple database engines. With database engine specific functionality, powerful tools and a consistent, clear and intuitive user interface, Database Workbench will increase your productivity from the moment you start using it.
    Starting Price: €149 per database workbench
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    Quash

    Quash

    Quash

    Quash is an AI-powered quality assurance platform designed to streamline mobile testing by automatically generating and executing functional and visual tests without traditional scripting. It maps every screen in your mobile app, transforms product requirement documents into test cases, and executes them using an AI engine that understands app flows and user intent, eliminating brittle selectors and fragile test scripts. The platform learns your application context by ingesting app data and adapts in real time, achieving significantly higher coverage and smoother releases by catching edge cases early. After test executions, Quash provides detailed bug reports that include screenshots, session logs, root-cause insights, and suggested fixes, all delivered via a unified dashboard for test-generation, execution, bug-tracking, and analytics. It also supports end-to-end integrations into existing CI/CD pipelines, test-management workflows, and bug-reporting tools.
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    TestMatch

    TestMatch

    Astadia

    TestMatch is a transaction content comparison tool that provides automated testing of mainframe OLTP (terminal-based Online Transaction Processing applications). It can be used to facilitate the migration of such legacy applications to open systems, or it can provide an automated regression test suite for an application. All user interactions can be recorded centrally on an IBM or Siemens mainframe using standard tools (no client-side or server-side installation of Astadia's tools). Since recording is performed at the network level, it works regardless of the development technology. TestMatch visualizes test scenarios and sessions: this includes the terminal contents as well as all attributes that are typical for terminal-based applications, protected/editable, MDT bit, reverse-video, and colors. TestMatch can replay the recorded scenarios, either against the migrated application (as a migration testing tool) or against the original application (as a regression testing tool).
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    Actifio

    Actifio

    Google

    Automate self-service provisioning and refresh of enterprise workloads, integrate with existing toolchain. High-performance data delivery and re-use for data scientists through a rich set of APIs and automation. Recover any data across any cloud from any point in time – at the same time – at scale, beyond legacy solutions. Minimize the business impact of ransomware / cyber attacks by recovering quickly with immutable backups. Unified platform to better protect, secure, retain, govern, or recover your data on-premises or in the cloud. Actifio’s patented software platform turns data silos into data pipelines. Virtual Data Pipeline (VDP) delivers full-stack data management — on-premises, hybrid or multi-cloud – from rich application integration, SLA-based orchestration, flexible data movement, and data immutability and security.
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    Mobot

    Mobot

    Mobot

    Mobot is a QA-as-a-service platform using actual mechanical robots to automate software testing on real mobile devices. Mobot's human-supervised robots make it possible to automate mobile app tests that emulators, virtual devices, and existing frameworks can't. This approach eliminates thousands of hours of manual testing, increases testing efficiency and physical device coverage, and captures more bugs in-app before app store launches than software can do alone. Our mission is to revolutionize the way engineering teams test & develop their products. We work with software teams in all kinds of industries – mobile, e-commerce, FinTech, health, and IoT (to name a few) – providing automated testing of their mobile products and smart devices.
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    HCL OneTest

    HCL OneTest

    HCL Technologies

    HCL OneTest provides software testing tools to support a DevOps approach: API testing, functional testing, UI testing, performance testing and service virtualization. It helps you automate and run tests earlier and more frequently to discover errors sooner — when they are less costly to fix. HCL also provides a bundled offering under a new consumption model that changes the way you can use and deploy DevOps software. The new offering helps simplify your planning for adoption and growth of critical DevOps products. HCL OneTest UI enables testers to take automation all the way from mainframe terminals with 3270 interfaces, through .NET- and Java-based thick client applications. Additionally, it works with the latest top browsers, ERP systems such as SAP and Oracle, right up to HTML5-based responsive web applications that are built on modern frameworks like Angular, React and Vue.js.
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    TCS MasterCraft DataPlus

    TCS MasterCraft DataPlus

    Tata Consultancy Services

    The users of data management software are primarily from enterprise business teams. This requires the data management software to be highly user-friendly, automated and intelligent. Additionally, data management activities must adhere to various industry-specific and data protection related regulatory requirements. Further, data must be adequate, accurate, consistent, of high quality and securely accessible so that business teams can make informed and data-driven strategic business decisons. Enables an integrated approach for data privacy, data quality management, test data management, data analytics and data modeling. Efficiently addresses growing volumes of data efficiently, through service engine-based architecture. Handles niche data processing requirements, beyond out of box functionality, through a user-defined function framework and python adapter. Provides a lean layer of governance surrounding data privacy and data quality management.
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    Gretel

    Gretel

    Gretel.ai

    Privacy engineering tools delivered to you as APIs. Synthesize and transform data in minutes. Build trust with your users and community. Gretel’s APIs grant immediate access to creating anonymized or synthetic datasets so you can work safely with data while preserving privacy. Keeping the pace with development velocity requires faster access to data. Gretel is accelerating access to data with data privacy tools that bypass blockers and fuel Machine Learning and AI applications. Keep your data contained by running Gretel containers in your own environment or scale out workloads to the cloud in seconds with Gretel Cloud runners. Using our cloud GPUs makes it radically more effortless for developers to train and generate synthetic data. Scale workloads automatically with no infrastructure to set up and manage. Invite team members to collaborate on cloud projects and share data across teams.
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    Kobiton

    Kobiton

    Kobiton

    Kobiton empowers enterprises to accelerate mobile app delivery through manual, automated, and no-code testing on real devices. Kobiton's AI-augmented mobile testing platform uniquely delivers one-hour continuous testing and integration. The platform offers AI-driven automation, including self-healing scripts and scriptless testing workflows. It also supports faster script execution, leading to quicker testing cycles. Users receive detailed test results that aid in decision-making and benefit from flexible deployment options that accommodate various testing needs. Kobiton's real devices provide low latency and high frame rates, contributing to both speedy and precise testing.
    Starting Price: $83/month (unlimited users)
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    Soflab G.A.L.L.

    Soflab G.A.L.L.

    Soflab Technology Sp. z o.o.

    The Soflab G.A.L.L. application is designed to anonymize sensitive data in non-production environments, enabling the generation of high-quality synthetic data that remains consistent with real data and supports reliable testing. At the same time, it ensures full protection of sensitive information, effectively preventing data leaks. Reduced data breach risk by replacing real data with artificial equivalents and detecting sensitive or erroneous records. Lower legal and financial exposure while protecting customer transactional data. Unified anonymization across non-production systems ensures a consistent data model and preserved production relationships. Synthetic data, generated from key production attributes, maintains statistical consistency for BI and AI. A central test data repository enables controlled reuse, lowers maintenance costs, accelerates deployments (up to 5 days), and supports simulation and reusable scenarios.