Alternatives to Sixpack
Compare Sixpack alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Sixpack in 2026. Compare features, ratings, user reviews, pricing, and more from Sixpack competitors and alternatives in order to make an informed decision for your business.
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Windocks
Windocks
Windocks is a leader in cloud native database DevOps, recognized by Gartner as a Cool Vendor, and as an innovator by Bloor research in Test Data Management. Novartis, DriveTime, American Family Insurance, and other enterprises rely on Windocks for on-demand database environments for development, testing, and DevOps. Windocks software is easily downloaded for evaluation on standard Linux and Windows servers, for use on-premises or cloud, and for data delivery of SQL Server, Oracle, PostgreSQL, and MySQL to Docker containers or conventional database instances. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. -
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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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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 ComplianceStarting Price: Starter Plan : Always free -
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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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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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Datanamic Data Generator
Datanamic
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.Starting Price: €59 per month -
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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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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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Informatica Test Data Management
Informatica
We help you discover, create, and subset test data; visualize test data coverage; and protect data so you can focus on development. Automate provisioning of masked, subsetted, and synthetically generated data to meet development and testing needs. Identify sensitive data locations quickly with consistent masking in and across databases. Store, augment, share, and reuse test datasets to improve testers’ efficiency. Provision smaller data sets to minimize infrastructure requirements and speed performance. Use our comprehensive set of masking techniques to consistently protect data across applications. Support packaged applications to ensure solution integrity and speed deployments. Engage risk, compliance, and audit teams to align with data governance initiatives. Improve test efficiency with reliable, trusted production data sets; reduce server and storage footprints with data set sizes targeted for each team. -
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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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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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Mimic
Facteus
Advanced technology and services to safely transform and enhance sensitive data into actionable insights, help drive innovation, and open new revenue streams. Using the Mimic synthetic data engine, companies can safely synthesize their data assets, protecting consumer privacy information from being exposed, while still maintaining the statistical relevancy of the data. The synthetic data can then be used for internal initiatives like analytics, machine learning and AI, marketing and segmentation activities, and new revenue streams through external data monetization. Mimic enables you to safely move statistically-relevant synthetic data to the cloud ecosystem of your choice to get the most out of your data. Analytics, insights, product development, testing, and third-party data sharing can all be done in the cloud with the enhanced synthetic data, which has been certified to be compliant with regulatory and privacy laws. -
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Protecto
Protecto
While enterprise data is exploding and scattered across various systems, oversight of driving privacy, data security, and governance has become very challenging. As a result, businesses hold significant risks in the form of data breaches, privacy lawsuits, and penalties. Finding data privacy risks in an enterprise is a complex, and time-consuming effort that takes months involving a team of data engineers. Data breaches and privacy laws are requiring companies to have a better grip on which users have access to the data, and how the data is used. But enterprise data is complex, so even if a team of engineers works for months, they will have a tough time isolating data privacy risks or quickly finding ways to reduce them.Starting Price: Usage based -
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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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Bifrost
Bifrost AI
Quickly and easily generate diverse and realistic synthetic data and high-fidelity 3D worlds to enhance model performance. Bifrost's platform is the fastest way to generate the high-quality synthetic images that you need to improve ML performance and overcome real-world data limitations. Prototype and test up to 30x faster by circumventing costly and time-consuming real-world data collection and annotation. Generate data to account for rare scenarios underrepresented in real data, resulting in more balanced datasets. Manual annotation and labeling is an error-prone, resource-intensive process. Easily and quickly generate data that is pre-labeled and pixel-perfect. Real-world data can inherit the biases of conditions under which the data was collected, and generate data to solve for these instances. -
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syntheticAIdata
syntheticAIdata
syntheticAIdata is your partner in creating synthetic data that enables you to craft diverse datasets effortlessly and at scale. Utilizing our solution doesn’t just mean significant cost reductions; it means ensuring privacy, regulatory compliance, and expediting your AI products' journey to the market. Let syntheticAIdata be the catalyst that transforms your AI aspirations into achievements. Synthetic data is generated on a large scale and can cover many scenarios when real data is insufficient. A variety of annotations can be automatically generated. This greatly shortens the time for data collection and tagging. Minimize costs for data collection and tagging by generating synthetic data on a large scale. Our user-friendly and no-code solution empowers even those without technical expertise to easily generate synthetic data. With seamless one-click integration with leading cloud platforms, our solution is the most convenient to use on the market. -
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Statice
Statice
We offer data anonymization software that generates entirely anonymous synthetic datasets for our customers. The synthetic data generated by Statice contains statistical properties similar to real data but irreversibly breaks any relationships with actual individuals, making it a valuable and safe to use asset. It can be used for behavior, predictive, or transactional analysis, allowing companies to leverage data safely while complying with data regulations. Statice’s solution is built for enterprise environments with flexibility and security in mind. It integrates features to guarantee the utility and privacy of the data while maintaining usability and scalability. It supports common data types: Generate synthetic data from structured data such as transactions, customer data, churn data, digital user data, geodata, market data, etc We help your technical and compliance teams validate the robustness of our anonymization method and the privacy of your synthetic dataStarting Price: Licence starting at 3,990€ / m -
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SKY ENGINE AI
SKY ENGINE AI
SKY ENGINE AI is a fully managed 3D Generative AI platform that transforms how enterprises build Vision AI by producing high-quality synthetic data at scale. It replaces difficult, expensive real-world data collection with physics-accurate simulation, multispectrum rendering, and automated ground-truth generation. The platform integrates a synthetic data engine, domain adaptation tools, sensor simulators, and deep learning pipelines into a single environment. Teams can test hypotheses, capture rare edge cases, and iterate datasets rapidly using advanced randomization, GAN post-processing, and 3D generative blueprints. With GPU-integrated development tools, distributed rendering, and full cloud resource management, SKY ENGINE AI eliminates workflow complexity and accelerates AI development. The result is faster model training, significantly lower costs, and highly reliable Vision AI across industries. -
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Urbiverse
Urbiverse
Urbiverse helps you make smarter strategic decisions about urban mobility and logistics with AI‑driven simulations, synthetic data solutions, real‑time what‑if analysis, and optimized fleet sizing and infrastructure planning. It enables operators to forecast demand based on historical data, events, seasonal trends and real‑time analytics; simulate scenarios to determine the impact of new ride‑sharing, bike‑sharing, cargo‑bike or fleet‑size programs on traffic, user satisfaction, environmental goals, profitability and costs; evaluate financial implications under various tender conditions; optimize fleet distribution, operations management and micromobility parking; and combine real‑time and historical data to allocate resources efficiently across different vehicle types, empowering mobility operators and planners to move from guesswork to data‑driven decisions. Urbiverse processes millions of trips, supports infrastructure planning, and empowers urban fleet planners to test scenarios. -
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Rockfish Data
Rockfish Data
Rockfish Data is the industry's first outcome-centric synthetic data generation platform, unlocking the true value of operational data. Rockfish helps enterprises take advantage of siloed data to train ML/AI workflows, produce compelling datasets for product demos, and more. The platform intelligently adapts to and optimizes diverse datasets, seamlessly adjusting to various data types, sources, and structures for maximum efficiency. It focuses on delivering specific, measurable results that drive tangible business value, with a purpose-built architecture emphasizing robust security measures to ensure data integrity and privacy. By operationalizing synthetic data, Rockfish enables organizations to overcome data silos, enhance machine learning and artificial intelligence workflows, and generate high-quality datasets for various applications. -
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DataCebo Synthetic Data Vault (SDV)
DataCebo
The Synthetic Data Vault (SDV) is a Python library designed to be your one-stop shop for creating tabular synthetic data. The SDV uses a variety of machine learning algorithms to learn patterns from your real data and emulate them in synthetic data. The SDV offers multiple models, ranging from classical statistical methods (GaussianCopula) to deep learning methods (CTGAN). Generate data for single tables, multiple connected tables, or sequential tables. Compare the synthetic data to the real data against a variety of measures. Diagnose problems and generate a quality report to get more insights. Control data processing to improve the quality of synthetic data, choose from different types of anonymization, and define business rules in the form of logical constraints. Use synthetic data in place of real data for added protection, or use it in addition to your real data as an enhancement. The SDV is an overall ecosystem for synthetic data models, benchmarks, and metrics.Starting Price: Free -
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Aindo
Aindo
Accelerate time-consuming data processing steps, including structuring, labeling, and preprocessing. Manage your data in one central, easy-to-integrate platform. Increase data accessibility rapidly through privacy-protecting synthetic data and user-friendly exchange platforms. The Aindo synthetic data platform allows you to securely exchange data across departments, with external service providers, partners, and the artificial intelligence community. Explore new synergies through synthetic data exchange and collaboration. Acquire missing data openly and securely. Provide comfort and trust to your clients and stakeholders. The Aindo synthetic data platform removes data inaccuracies and implicit bias for fair and complete insights. Augment information to make databases robust to special events. Balance datasets that misrepresent true populations for a fair and accurate overall depiction. Fill in data gaps in a sound and exact manner. -
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Syntheticus
Syntheticus
Syntheticus® empowers data exchange and overcomes limitations in data access, scarcity, and bias - at scale. With our synthetic data platform, you generate high-quality and compliant data samples tailored to your business needs and analytics goals. With synthetic data, you easily tap into a wide range of high-quality sources that are not always available in the real world. By accessing high-quality, consistent data, you conduct more reliable research, leading to better products, services, and business decisions. With fast, reliable data sources at your fingertips, you accelerate product development cycles and improve time-to-market. Synthetic data is designed to be private and secure by default, protecting sensitive data and maintaining compliance with privacy laws and regulations. -
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Data is an invaluable business asset. With the right AI model, it’s possible to use data to build and understand customer profiles, look for trends, and identify new business opportunities. But it requires huge volumes of data to develop accurate and robust AI models, and that’s a challenge, from both a data quality and quantity perspective. In addition, stringent regulations, most notably GDPR, restrict the use of certain sensitive data, like customer data. It’s time for a new approach. Especially in a software testing environment where good quality testing data is hard to access. We typically see actual customer data being used, which risks GDPR non-compliance and ensuing heavy financial fines. Artificial Intelligence (AI) is expected to increase business productivity by at least 40% but businesses struggle to deploy or fully unlock AI solutions due to data-related challenges. ADA generates synthetic data using advanced deep learning.
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Anyverse
Anyverse
A flexible and accurate synthetic data generation platform. Craft the data you need for your perception system in minutes. Design scenarios for your use case with endless variations. Generate your datasets in the cloud. Anyverse offers a scalable synthetic data software platform to design, train, validate, or fine-tune your perception system. It provides unparalleled computing power in the cloud to generate all the data you need in a fraction of the time and cost compared with other real-world data workflows. Anyverse provides a modular platform that enables efficient scene definition and dataset production. Anyverse™ Studio is a standalone graphical interface application that manages all Anyverse functions, including scenario definition, variability settings, asset behaviors, dataset settings, and inspection. Data is stored in the cloud, and the Anyverse cloud engine is responsible for final scene generation, simulation, and rendering. -
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dbForge Data Generator for Oracle is a small but mighty GUI tool for populating Oracle schemas with tons of realistic test data. Having an extensive collection of 200+ predefined and customizable data generators for various data types, the tool delivers flawless and quick data generation (including random number generation) in easy to use interface. Key Features: Accelerate routine tasks with integrated AI Assistant Generate large volumes of data for multiple Oracle database versions Support for inter-column dependency Avoid the need for data entry in multiple databases manually Automate and optimize data generation tasks in the command line Add reliability to the application with meaningful test data Output the data generation script to a file Increase testing efficiency by sharing and reusing datasets Eliminate risks to access secure data by provisioning test dataStarting Price: $169.95
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Synthesized
Synthesized
Power up your AI and data projects with the most valuable data At Synthesized, we unlock data's full potential by automating all stages of data provisioning and data preparation with a cutting-edge AI. We protect from privacy and compliance hurdles by virtue of the data being synthesized through the platform. Software for preparing and provisioning of accurate synthetic data to build better models at scale. Businesses solve the problem of data sharing with Synthesized. 40% of companies investing in AI cannot report business gains. Stay ahead of your competitors and help data scientists, product and marketing teams focus on uncovering critical insight with our simple-to-use platform for data preparation, sanitization and quality assessment. Testing data-driven applications is difficult without representative datasets and this leads to issues when services go live. -
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AutonomIQ
AutonomIQ
Our AI-driven, autonomous low-code automation platform is designed to help you achieve the highest quality outcome in the shortest amount of time possible. Generate automation scripts automatically in plain English with our Natural Language Processing (NLP) powered solution, and allow your coders to focus on innovation. Maintain quality throughout your application lifecycle with our autonomous discovery and up-to-date tracking of changes. Reduce risk in your dynamic development environment with our autonomous healing capability and deliver flawless updates by keeping automation current. Ensure compliance with all regulatory requirements and eliminate security risk using AI-generated synthetic data for all your automation needs. Run multiple tests in parallel, determine test frequency, keep pace with browser updates and executions across operating systems and platforms. -
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Private AI
Private AI
Safely share your production data with ML, data science, and analytics teams while safeguarding customer trust. Stop fiddling with regexes and open-source models. Private AI efficiently anonymizes 50+ entities of PII, PCI, and PHI across GDPR, CPRA, and HIPAA in 49 languages with unrivaled accuracy. Replace PII, PCI, and PHI in text with synthetic data to create model training datasets that look exactly like your production data without compromising customer privacy. Remove PII from 10+ file formats, such as PDF, DOCX, PNG, and audio to protect your customer data and comply with privacy regulations. Private AI uses the latest in transformer architectures to achieve remarkable accuracy out of the box, no third-party processing is required. Our technology has outperformed every other redaction service on the market. Feel free to ask us for a copy of our evaluation toolkit to test on your own data. -
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YData
YData
Adopting data-centric AI has never been easier with automated data quality profiling and synthetic data generation. We help data scientists to unlock data's full potential. YData Fabric empowers users to easily understand and manage data assets, synthetic data for fast data access, and pipelines for iterative and scalable flows. Better data, and more reliable models delivered at scale. Automate data profiling for simple and fast exploratory data analysis. Upload and connect to your datasets through an easily configurable interface. Generate synthetic data that mimics the statistical properties and behavior of the real data. Protect your sensitive data, augment your datasets, and improve the efficiency of your models by replacing real data or enriching it with synthetic data. Refine and improve processes with pipelines, consume the data, clean it, transform your data, and work its quality to boost machine learning models' performance. -
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Synthesis AI
Synthesis AI
A synthetic data platform for ML engineers to enable the development of more capable AI models. Simple APIs provide on-demand generation of perfectly-labeled, diverse, and photoreal images. Highly-scalable cloud-based generation platform delivers millions of perfectly labeled images. On-demand data enables new data-centric approaches to develop more performant models. An expanded set of pixel-perfect labels including segmentation maps, dense 2D/3D landmarks, depth maps, surface normals, and much more. Rapidly design, test, and refine your products before building hardware. Prototype different imaging modalities, camera placements, and lens types to optimize your system. Reduce bias in your models associated with misbalanced data sets while preserving privacy. Ensure equal representation across identities, facial attributes, pose, camera, lighting, and much more. We have worked with world-class customers across many use cases. -
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Test Data Manager
Broadcom
Find, build, manage, and deliver test data to everyone on your team. Test Data Manager helps you address data privacy and compliance Issues as they relate compliance regulations and your corporate mandates. The TDM Discovery and Profiling feature provides the ability to identify personally identifiable information (PII) across multiple data sources. A heat map displays PII data and classifies it according to severity levels. Test data engineers and compliance officers can review and tag the Data for further mitigation. Comprehensive reports can be generated in PDF format to demonstrate compliance to anyone interested. Test Data Manager helps you address data privacy and compliance Issues as they relate compliance regulations and your corporate mandates. The TDM Discovery and Profiling feature provides the ability to identify personally identifiable information (PII) across multiple data sources. A heat map displays PII data and classifies it according to severity levels. -
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DataGen
DataGen
DataGen is a leading AI platform specializing in synthetic data generation and custom generative AI models for machine learning projects. Their flagship product, SynthEngyne, supports multi-format data generation including text, images, tabular, and time-series data, ensuring privacy-compliant, high-quality training datasets. The platform offers scalable, real-time processing and advanced quality controls like deduplication to maintain dataset fidelity. DataGen also provides professional AI development services such as model deployment, fine-tuning, synthetic data consulting, and intelligent automation systems. With flexible pricing plans ranging from free tiers for individuals to custom enterprise solutions, DataGen caters to a wide range of users. Their solutions serve diverse industries including healthcare, finance, automotive, and retail. -
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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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CA Service Virtualization
Broadcom
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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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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Rendered.ai
Rendered.ai
Overcome challenges in acquiring data for machine learning and AI systems training. Rendered.ai is a PaaS designed for data scientists, engineers, and developers. Generate synthetic datasets for ML/AI training and validation. Experiment with sensor models, scene content, and post-processing effects. Characterize and catalog real and synthetic datasets. Download or move data to your own cloud repositories for processing and training. Power innovation and increase productivity with synthetic data as a capability. Build custom pipelines to model diverse sensors and computer vision inputs. Start quickly with free, customizable Python sample code to model SAR, RGB satellite imagery, and more sensor types. Experiment and iterate with flexible licensing that enables nearly unlimited content generation. Create labeled content rapidly in a hosted, high-performance computing environment. Enable collaboration between data scientists and data engineers with a no-code configuration experience. -
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Lucky Robots
Lucky Robots
Lucky Robots is a robotics-focused simulation platform that lets teams train, test, and refine AI models for robots entirely in high-fidelity virtual environments that mimic real-world physics, sensors, and interactions, enabling massive generation of synthetic training data and rapid iteration without physical robots or costly lab setups. It uses hyper-realistic scenes (e.g., kitchens, terrain) built on advanced simulation tech to create varied edge cases, generate millions of labeled episodes for scalable model learning, and accelerate development while reducing cost and safety risk. It supports natural language control in simulated scenarios, lets users bring their own robot models or choose from commercially available ones, and includes tools for collaboration, environment sharing, and training workflows via LuckyHub, helping developers push models toward real-world performance more efficiently.Starting Price: Free -
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Smock-it
Concretio
Smock-it is a tool for generating test data for Salesforce quickly and accurately through an easy-to-use command-line interface. Built by Concret.io, it goes beyond traditional tools and can be an alternative to tools like Mockaroo, Mocki, Snowfakery, and GenRocket for generating test data for Salesforce Testing. From supporting complex schemas to ensuring complete data privacy, Smock-It is built to tackle real-world Salesforce challenges. It enhances testing efficiency, intelligence, and compliance, delivering value to developers, QA teams, and system administrators.Starting Price: $0 -
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Uxia
Uxia
Uxia reinvented user testing with an AI-powered platform that enables design and product teams to validate and test UX/UI flows in seconds using synthetic users instead of real testers. By uploading a prototype, design, or user flow, teams can receive instant, actionable insights, around five minutes instead of days, thanks to thousands of simulated interactions mirrored by AI personas. Unlike traditional platforms that rely on rushed, biased “professional testers,” Uxia’s synthetic testers offer higher-quality feedback at lightning speed while remaining cost-effective, scalable, and accessible to teams of any size. It dramatically accelerates iteration cycles and supports agile product development by surfacing usability friction, identifying paths where users get stuck, and enabling continuous refinement without expensive contracts or lengthy turnaround times. Uxia makes fast, reliable testing feasible at any stage of design, empowering rapid, insight-driven decisions.Starting Price: €34.95 per month -
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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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OneView
OneView
Working exclusively with real data creates significant challenges for machine learning model training. Synthetic data enables limitless machine learning model training, addressing the drawbacks and challenges of real data. Boost the performance of your geospatial analytics by creating the imagery you need. Customizable satellite, drone, and aerial imagery. Create scenarios, change object ratios, and adjust imaging parameters quickly and iteratively. Any rare objects or occurrences can be created. The resulting datasets are fully-annotated, error-free, and ready for training. The OneView simulation engine creates 3D worlds as the base for synthetic satellite and aerial images, layered with multiple randomization factors, filters, and variation parameters. The synthetic images replace real data for remote sensing systems in machine learning model training. They achieve superior interpretation results, especially in cases with limited coverage or poor-quality data. -
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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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BMC Compuware Topaz for Enterprise Data
BMC Software
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. -
45
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 -
46
Symage
Symage
Symage is a synthetic data platform that generates custom, photorealistic image datasets with automated pixel-perfect labeling to support training and improving AI and computer vision models; using physics-based rendering and simulation rather than generative AI, it produces high-fidelity synthetic images that mirror real-world conditions and handle diverse scenarios, lighting, camera angles, object motion, and edge cases with controlled precision, which helps eliminate data bias, reduce manual labeling, and dramatically cut data preparation time by up to 90%. Designed to give teams the right data for model training rather than relying on limited real datasets, Symage lets users tailor environments and variables to match specific use cases, ensuring datasets are balanced, scalable, and accurately labeled at every pixel. It is built on decades of expertise in robotics, AI, machine learning, and simulation, offering a way to overcome data scarcity and boost model accuracy. -
47
Subsalt
Subsalt Inc.
Subsalt is the first platform built to enable the use of anonymous data at enterprise scale. Subsalt's Query Engine dynamically optimizes the tradeoffs between data privacy and fidelity to the source data. Queries return fully-synthetic data that preserves row-level granularity and data formats without disruptive data transformations. Subsalt provides compliance guarantees supported by third-party audits that satisfy HIPAA's Expert Determination standard. Subsalt supports multiple deployment models to meet the unique privacy and security requirements of each client. Subsalt is SOC2-Type 2 and HIPAA compliant. The system has been designed to minimize the risk of exposure or breach of real data. Existing data and ML tools integrate directly with Subsalt's Postgres-compatible SQL interface, making adoption a breeze. -
48
DTM Data Generator
DTM Data Generator
Fast test data generation engine with about 70 built-in functions and expression processor enables users to define complex test data with dependencies, internal structure, and relationships. The product analyzes existing database schema and resolves master-detail key structure (relationships) automatically. Value Library is a predefined data sets: names, countries, cities, streets, currencies, companies, industries, departments, regions, etc. Variables and Named Generators features provide a way to share data generation properties to similar columns. Intelligent schema analyzer makes your data realistic without extra project modifications and "data by example" feature makes data more realistic without extra efforts. -
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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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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.Starting Price: $60 per year
