Alternatives to Data360 DQ+
Compare Data360 DQ+ alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Data360 DQ+ in 2026. Compare features, ratings, user reviews, pricing, and more from Data360 DQ+ competitors and alternatives in order to make an informed decision for your business.
-
1
dbt
dbt Labs
dbt helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, data analysts and data engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, lean on detailed metadata to troubleshoot and optimize pipelines, and deploy transformations reliably at scale. Built on modern software engineering best practices, dbt brings transparency and governance to every step of the data transformation workflow. Thousands of companies, from startups to Fortune 500 enterprises, rely on dbt to improve data quality and trust as well as drive efficiencies and reduce costs as they deliver AI-ready data across their organization. Whether you’re scaling data operations or just getting started, dbt empowers your team to move from raw data to actionable analytics with confidence. -
2
DataLark
LeverX
DataLark is an SAP-centric no-code / low-code data management platform that helps businesses streamline data migration, data maintenance, and integration processes. Using its customizable plugins and analytical tools, you can automate all ETL operations and orchestrate across all of your systems to drive better business decisions. DataLark's rapid deployment allows you to launch your data-related processes within hours with the help of live support and extensive documentation.Starting Price: $48,000/year -
3
Qualytics
Qualytics
Helping enterprises proactively manage their full data quality lifecycle through contextual data quality checks, anomaly detection and remediation. Expose anomalies and metadata to help teams take corrective actions. Automatically trigger remediation workflows to resolve errors quickly and efficiently. Maintain high data quality and prevent errors from affecting business decisions. The SLA chart provides an overview of SLA, including the total number of SLA monitoring that have been performed and any violations that have occurred. This chart can help you identify areas of your data that may require further investigation or improvement. -
4
iceDQ
iceDQ
iceDQ is the #1 data reliability platform offering powerful, unified capabilities for Data Testing, Data Monitoring, and Data Observability. Designed for modern data environments, iceDQ automates complex data pipelines and data migration testing to ensure accuracy, integrity, and trust in your data systems. Its AI-based observability engine continuously monitors data in real-time, quickly detecting anomalies and minimizing business risks. With robust cross-platform connectivity, iceDQ supports seamless data validation, data profiling, and data reconciliation across diverse sources — including databases, files, data lakes, SaaS applications, and cloud environments. Whether you're migrating data, ensuring ETL/ELT process quality, or monitoring live data streams, iceDQ helps enterprises deliver high-quality, reliable data at scale. From financial services to healthcare and beyond, organizations rely on iceDQ to make confident, data-driven decisions backed by trusted data pipelines.Starting Price: $1000 -
5
DQOps
DQOps
DQOps is an open-source data quality platform designed for data quality and data engineering teams that makes data quality visible to business sponsors. The platform provides an efficient user interface to quickly add data sources, configure data quality checks, and manage issues. DQOps comes with over 150 built-in data quality checks, but you can also design custom checks to detect any business-relevant data quality issues. The platform supports incremental data quality monitoring to support analyzing data quality of very big tables. Track data quality KPI scores using our built-in or custom dashboards to show progress in improving data quality to business sponsors. DQOps is DevOps-friendly, allowing you to define data quality definitions in YAML files stored in Git, run data quality checks directly from your data pipelines, or automate any action with a Python Client. DQOps works locally or as a SaaS platform.Starting Price: $499 per month -
6
DataTrust
RightData
DataTrust is built to accelerate test cycles and reduce the cost of delivery by enabling continuous integration and continuous deployment (CI/CD) of data. It’s everything you need for data observability, data validation, and data reconciliation at a massive scale, code-free, and easy to use. Perform comparisons, and validations, and do reconciliation with re-usable scenarios. Automate the testing process and get alerted when issues arise. Interactive executive reports with quality dimension insights. Personalized drill-down reports with filters. Compare row counts at the schema level for multiple tables. Perform checksum data comparisons for multiple tables. Rapid generation of business rules using ML. Flexibility to accept, modify, or discard rules as needed. Reconciling data across multiple sources. DataTrust solutions offers the full set of applications to analyze source and target datasets. -
7
Lightup
Lightup
Empower enterprise data teams to proactively prevent costly outages, before they occur. Quickly scale data quality checks across enterprise data pipelines with efficient time-bound pushdown queries — without compromising performance. Proactively monitor and identify data anomalies, leveraging prebuilt DQ-specific AI models — without manual threshold setting. Lightup’s out-of-the-box solution gives you the highest level of data health so you can make confident business decisions. Arm stakeholders with data quality intelligence for confident decision-making. Powerful, flexible dashboards provide transparency into data quality and trends. Avoid data silos by using Lightup’s built-in connectors to seamlessly connect to any data source in your data stack. Streamline workflows by replacing manual, resource-intensive processes with automated and accurate data quality checks. -
8
Typo
Typo
TYPO is a data quality solution that provides error correction at the point of entry into information systems. Unlike reactive data quality tools that attempt to resolve data errors after they are saved, Typo uses AI to proactively detect errors in real-time at the initial point of entry. This enables immediate correction of errors prior to storage and propagation into downstream systems and reports. Typo can be used on web applications, mobile apps, devices and data integration tools. Typo inspects data in motion as it enters your enterprise or at rest after storage. Typo provides comprehensive oversight of data origins and points of entry into information systems including devices, APIs and application users. When an error is identified, the user is notified and given the opportunity to correct the error. Typo uses machine learning algorithms to detect errors. Implementation and maintenance of data rules is not necessary. -
9
Data Ladder
Data Ladder
Data Ladder is a data quality and cleansing company dedicated to helping you "get the most out of your data" through data matching, profiling, deduplication, and enrichment. We strive to keep things simple and understandable in our product offerings to give our customers the best solution and customer service at an excellent price. Our products are in use across the Fortune 500 and we are proud of our reputation of listening to our customers and rapidly improving our products. Our user-friendly, powerful software helps business users across industries manage data more effectively and drive their bottom line. Our data quality software suite, DataMatch Enterprise, was proven to find approximately 12% to 300% more matches than leading software companies IBM and SAS in 15 different studies. With over 10 years of R&D and counting, we are constantly improving our data quality software solutions. This ongoing dedication has led to more than 4000 installations worldwide. -
10
Data Quality on Demand
Uniserv
Data plays a key role in many company areas, such as sales, marketing and finance. To get the best out of the data, it must be maintained, protected and monitored over its entire life cycle. Data quality is a core element of Uniserv company philosophy and the product offers it makes. Our customised solutions make your customer master data the success factor of your company. The Data Quality Service Hub ensures high level customer data quality at every location in your company – and at international level. We offer you correction of your address information according to international standards and based on first-class reference data. We also check email addresses, telephone numbers and bank data at different levels. If you have redundant items in your data, we can flexibly search for duplicates according to your business rules. These items found can be mostly consolidated automatically based on prescribed rules, or sorted for manual reprocessing. -
11
Syniti Data Quality
Syniti
Data has the power to disrupt markets and break new boundaries, but only when it’s trusted and understood. By leveraging our AI/ML-enhanced, cloud-based solution built with 25 years of best practices and proven data quality reports, stakeholders in your organization can work together to crowdsource data excellence. Quickly identify data quality issues and expedite remediation with embedded best practices and hundreds of pre-built reports. Cleanse data in advance of, or during, data migration, and track data quality in real-time with customizable data intelligence dashboards. Continuously monitor data objects and automatically initiate remediation workflows and direct them to the appropriate data owners. Consolidate data in a single, cloud-based platform and reuse knowledge to accelerate future data initiatives. Minimize effort and improve outcomes with every data stakeholder working in a single system. -
12
BiG EVAL
BiG EVAL
The BiG EVAL solution platform provides powerful software tools needed to assure and improve data quality during the whole lifecycle of information. BiG EVAL's data quality management and data testing software tools are based on the BiG EVAL platform - a comprehensive code base aimed for high performance and high flexibility data validation. All features provided were built by practical experience based on the cooperation with our customers. Assuring a high data quality during the whole life cycle of your data is a crucial part of your data governance and is very important to get the most business value out of your data. This is where the automation solution BiG EVAL DQM comes in and supports you in all tasks regarding data quality management. Ongoing quality checks validate your enterprise data continuously, provide a quality metric and supports you in solving the quality issues. BiG EVAL DTA lets you automate testing tasks in your data oriented project. -
13
Forms InMotion
Forms InMotion
Forms InMotion centralizes all of your pdf and HTML forms, making them accessible on any device – at any time – and keeping them connected to your most important data sources. This is your enterprise at full speed. With Form-to-Form Autofill, users complete one field, and Forms InMotion takes it from there, mapping the data across all similar form fields in the package. The result is the experience of a streamlined form for users and administrators alike. Sometimes a signature is all that stands between you and crossing another task off your to-do list. Forms InMotion allows users to type or draw signatures and locks fields upon completion. Forms InMotion makes file uploads easy and sends everything with the form submission by using the latest mobile data capture technology. The Forms InMotion app allows you to extend enterprise form management to your favorite smartphone or tablet and stay productive even when you’re on the go.Starting Price: $500 per month -
14
Evidently AI
Evidently AI
The open-source ML observability platform. Evaluate, test, and monitor ML models from validation to production. From tabular data to NLP and LLM. Built for data scientists and ML engineers. All you need to reliably run ML systems in production. Start with simple ad hoc checks. Scale to the complete monitoring platform. All within one tool, with consistent API and metrics. Useful, beautiful, and shareable. Get a comprehensive view of data and ML model quality to explore and debug. Takes a minute to start. Test before you ship, validate in production and run checks at every model update. Skip the manual setup by generating test conditions from a reference dataset. Monitor every aspect of your data, models, and test results. Proactively catch and resolve production model issues, ensure optimal performance, and continuously improve it.Starting Price: $500 per month -
15
Accurity
Accurity
With Accurity, the all-in-one data intelligence platform, you get a company-wide understanding and complete trust in your data — speed up business-critical decision making, increase your revenue, reduce your costs, and ensure your company’s data compliance. Equipped with timely, relevant, and accurate data, you can successfully satisfy and engage with your customers, elevating your brand awareness and driving sales conversions. With everything accessible from a single interface, automated quality checks, and data quality issue workflows, you can lower personnel and infrastructure costs, and spend time utilizing your data rather than just managing it. Discover real value in your data by revealing and removing inefficiencies, improving your decision-making processes, and finding valuable product and customer information to boost your company’s innovation. -
16
Waaila
Cross Masters
Waaila is a comprehensive application for automatic data quality monitoring, supported by a global community of hundreds of analysts, and helps to prevent disastrous scenarios caused by poor data quality and measurement. Validate your data and take control of your analytics and measuring. They need to be precise in order to utilize their full potential therefore it requires validation and monitoring. The quality of the data is key for serving its true purpose and leveraging it for business growth. The higher quality, the more efficient the marketing strategy. Rely on the quality and accuracy of your data and make confident data-driven decisions to achieve the best results. Save time, and energy, and attain better results with automated validation. Fast attack discovery prevents huge impacts and opens new opportunities. Easy navigation and application management contribute to fast data validation and effective processes, leading to quickly discovering and solving the issue.Starting Price: $19.99 per month -
17
FSWorks
Symbrium
FSWorks™ offers robust graphical interfaces that display quality & production data in real-time, providing immediate factory insights. FS.Net™ connects it with quality analysis, process performance insights and compliance reporting on-site or remotely wherever you are. Our philosophy is simple: We partner with our clients and go above and beyond to help you accomplish your goals. We are a dynamic company and everyone on our team is empowered to make decisions according to the Symbrium Way. Factory Systems™ provides Statistical Process Control (SPC) software, rugged factory floor workstations, Enterprise Quality Data Management Systems, Supervisory Control and Data Acquisition (SCADA) systems, Operational Equipment Effectiveness (OEE) systems, ANDON systems, Process Monitoring systems, Human Machine Interface (HMI) solutions, Part ID and Tracking systems and other pre-packaged and custom software tools and hardware solutions to manufacturing and product testing operations worldwide. -
18
Revefi Data Operations Cloud
Revefi
Your zero-touch copilot for data quality, spending, performance, and usage. Your data team won’t be the last to know about broken analytics or bottlenecks. We pull out anomalies and alert you right away. Improve your data quality and eliminate downtimes. When performance trends the wrong way, you’ll be the first to know. We help you connect the dots between data usage and resource allocation. Reduce and optimize costs, and allocate resources effectively. We slice and dice your spending areas by warehouse, user, and query. When spending trends the wrong way, you get a notification. Get insights on underutilized data and its impact on your business value. Revefi constantly watches out for waste and surfaces opportunities for you to better rationalize usage with resources. Say goodbye to manual data checks with automated monitoring built on your data warehouse. You can find the root cause and solve issues within minutes before they affect your downstream users.Starting Price: $299 per month -
19
Qualdo
Qualdo
We are a leader in Data Quality & ML Model for enterprises adopting a multi-cloud, ML and modern data management ecosystem. Algorithms to track Data Anomalies in Azure, GCP & AWS databases. Measure and monitor data issues from all your cloud database management tools and data silos, using a single, centralized tool. Quality is in the eye of the beholder. Data issues have different implications depending on where you sit in the enterprise. Qualdo is a pioneer in organizing all data quality management issues through the lens of multiple enterprise stakeholders, presenting a unified view in a consumable format. Deploy powerful auto-resolution algorithms to track and isolate critical data issues. Take advantage of robust reports and alerts to manage your enterprise regulatory compliance. -
20
Experian Data Quality
Experian
Experian Data Quality is a recognized industry leader of data quality and data quality management solutions. Our comprehensive solutions validate, standardize, enrich, profile, and monitor your customer data so that it is fit for purpose. With flexible SaaS and on-premise deployment models, our software is customizable to every environment and any vision. Keep address data up to date and maintain the integrity of contact information over time with real-time address verification solutions. Analyze, transform, and control your data using comprehensive data quality management solutions - develop data processing rules that are unique to your business. Improve mobile/SMS marketing efforts and connect with customers using phone validation tools from Experian Data Quality. -
21
Firstlogic
Firstlogic
Validate and verify your address data by checking them against official Postal Authority databases. Increase delivery rates, minimize returned mail and realize postal discounts. Connect address datasources to our enterprise-class cleansing transforms. Then, you'll be ready to validate and verify your address data. Increase delivery rates, minimize returned mail and realize postal discounts. Identify individual data elements within your address data and break them out into their component parts. Eliminate common spelling mistakes & format address data to comply with industry standards & improve mail delivery. Confirm an address’s existence against the official USPS address database. Check whether the address is residential or business and if the address is deliverable using USPS Delivery Point Validation (DPV). Merge validated data back to multiple disparate data sources or produce customized output files to use in your organization's workflow. -
22
Lyons Quality Audit Tracking LQATS
Lyons Information Systems
Lyons Quality Audit Tracking System (LQATS)® is a robust, flexible, web-based solution to gather, analyze and display quality audit results generated by staff and suppliers of a manufacturing organization. LQATS gathers real time audit information worldwide from: Suppliers (shipment audits) Company auditors (final audits) Distribution centers Manufacturing plants LQATS provides real-time entry, tracking, and analysis of quality audit data from Distribution Centers and Supplier plant locations. Features include: "Smart controls" to minimize user data entry and retrieval tasks Change History tracking Quick search of data using many different query parameters Real-time global performance monitor Fabric Inspections Six-sigma analysis Disposition log Data displayed in both tabular and graphical formats with output to Excel, PDF, format -
23
Acceldata
Acceldata
Acceldata is an Agentic Data Management company helping enterprises manage complex data systems with AI-powered automation. Its unified platform brings together data quality, governance, lineage, and infrastructure monitoring to deliver trusted, actionable insights across the business. Acceldata’s Agentic Data Management platform uses intelligent AI agents to detect, understand, and resolve data issues in real time. Designed for modern data environments, it replaces fragmented tools with a self-learning system that ensures data is accurate, governed, and ready for AI and analytics. -
24
Great Expectations
Great Expectations
Great Expectations is a shared, open standard for data quality. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. We recommend deploying within a virtual environment. If you’re not familiar with pip, virtual environments, notebooks, or git, you may want to check out the Supporting. There are many amazing companies using great expectations these days. Check out some of our case studies with companies that we've worked closely with to understand how they are using great expectations in their data stack. Great expectations cloud is a fully managed SaaS offering. We're taking on new private alpha members for great expectations cloud, a fully managed SaaS offering. Alpha members get first access to new features and input to the roadmap. -
25
Maximize the value of all your organization’s structured and unstructured data with exceptional functionalities for data integration, quality, and cleansing. SAP Data Services software improves the quality of data across the enterprise. As part of the information management layer of SAP’s Business Technology Platform, it delivers trusted,relevant, and timely information to drive better business outcomes. Transform your data into a trusted, ever-ready resource for business insight and use it to streamline processes and maximize efficiency. Gain contextual insight and unlock the true value of your data by creating a complete view of your information with access to data of any size and from any source. Improve decision-making and operational efficiency by standardizing and matching data to reduce duplicates, identify relationships, and correct quality issues proactively. Unify critical data on premise, in the cloud, or within Big Data by using intuitive tools.
-
26
Digna
Digna
Digna is an AI-powered anomaly detection solution designed to meet the challenges of modern data quality management. It's domain agnostic, meaning it seamlessly adapts to various sectors, from finance to healthcare. Digna prioritizes data privacy, ensuring compliance with stringent data regulations. Moreover, it's built to scale, growing alongside your data infrastructure. With the flexibility to choose cloud-based or on-premises installation, Digna aligns with your organizational needs and security policies. In conclusion, Digna stands at the forefront of modern data quality solutions. Its user-friendly interface, combined with powerful AI-driven analytics, makes it an ideal choice for businesses seeking to improve their data quality. With its seamless integration, real-time monitoring, and adaptability, Digna is not just a tool; it’s a partner in your journey towards impeccable data quality. -
27
Convertr
Convertr
The Convertr platform gives marketers visibility and control over data processes and lead quality to create higher performing demand programs. __________ Data impacts every area of your business, but outdated processes and quality issues hinder growth. Bad leads and poor data quality lowers marketing performance, slows sales, increases costs and causes inaccurate reporting. With the Convertr platform, your entire organization benefits and can stay focused on revenue driving activities instead of slow, manual data tasks. - Connect Convertr to your lead channels through API or data imports - Automate data processing to remove bad data and update lead profiles to your quality and formatting requirements - Integrate with your platforms or select protected CSV files to securely deliver leads - Improve reporting with Convertr analytics or through clean, consistent data sets across your tech stack - Enable your teams with globally compliant data processes -
28
Informatica Data Quality
Informatica
Deliver tangible strategic value, quickly. Ensure end-to-end support for growing data quality needs across users and data types with AI-driven automation. No matter what type of initiative your organization is working on—from data migration to next-gen analytics—Informatica Data Quality has the flexibility you need to easily deploy data quality for all use cases. Empower business users and facilitate collaboration between IT and business stakeholders. Manage the quality of multi-cloud and on-premises data for all use cases and for all workloads. Incorporates human tasks into the workflow, allowing business users to review, correct, and approve exceptions throughout the automated process. Profile data and perform iterative data analysis to uncover relationships and better detect problems. Use AI-driven insights to automate the most critical tasks and streamline data discovery to increase productivity and effectiveness. -
29
DQE One
DQE
Customer data is omnipresent in our lives, cell phones, social media, IoT, CRM, ERP, marketing, the works. The data companies capture is overwhelming. But often under-leveraged, incomplete or even totally incorrect. Uncontrolled and low-quality data can disorganize any company, risking major opportunities for growth. Customer data needs to be the point of synergy of all a company’s processes. It is absolutely critical to guarantee the data is reliable and accessible to all, at all times. The DQE One solution is for all departments leveraging customer data. Providing high-quality data ensures confidence in every decision. In the company's databases, contact information from multiple sources pile up. With data entry errors, incorrect contact information, or gaps in information, the customer database must be qualified and then maintained throughout the data life cycle so it can be used as a reliable repository. -
30
Blazent
Blazent
Raise the accuracy of your CMDB data to 99%, and keep it there. Reduce source system determination times for incidents to zero. Gain complete transparency to risk and SLA exposure. Optimize service billing, eliminating under billing and clawbacks, while reducing manual billing and validation. Reduce maintenance and license costs associated with decommissioned and unsupported assets. Improve trust and transparency by eliminating major incidents, and reducing outage resolution times. Overcome limitations associated with Discovery tools and drive integration across your entire IT estate. Drive collaboration between ITSM and ITOM functions by integrating disparate IT data sets. Gain a holistic view of your IT environment through continuous CI validation across the broadest range of data sources. Blazent delivers data quality and integrity, driven by 100% data accuracy. We take all your IT and OT data from the broadest range of sources in the industry, and transform it into trusted data. -
31
Trillium Quality
Precisely
Rapidly transform high-volume, disconnected data into trusted and actionable business insights with scalable enterprise data quality. Trillium Quality is a versatile, powerful data quality solution that supports your rapidly changing business needs, data sources and enterprise infrastructures – including big data and cloud. Its data cleansing and standardization features automatically understand global data, such as customer, product and financial data, in any context – making pre-formatting and pre-processing unnecessary. Trillium Quality services deploy in batch or in real-time, on-premises or in the cloud, using the same rule sets and standards across an unlimited number of applications and systems. Open APIs let you seamlessly connect to custom and third-party applications, while controlling and managing data quality services centrally from one location. -
32
rudol
rudol
Unify your data catalog, reduce communication overhead and enable quality control to any member of your company, all without deploying or installing anything. rudol is a data quality platform that helps companies understand all their data sources, no matter where they come from; reduces excessive communication in reporting processes or urgencies; and enables data quality diagnosing and issue prevention to all the company, through easy steps With rudol, each organization is able to add data sources from a growing list of providers and BI tools with a standardized structure, including MySQL, PostgreSQL, Airflow, Redshift, Snowflake, Kafka, S3*, BigQuery*, MongoDB*, Tableau*, PowerBI*, Looker* (* in development). So, regardless of where it’s coming from, people can understand where and how the data is stored, read and collaborate with its documentation, or easily contact data owners using our integrations.Starting Price: $0 -
33
Sifflet
Sifflet
Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset. -
34
Validio
Validio
See how your data assets are used: popularity, utilization, and schema coverage. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Find and filter the data you need based on metadata tags and descriptions. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Drive data governance and ownership across your organization. Stream-lake-warehouse lineage to facilitate data ownership and collaboration. Automatically generated field-level lineage map to understand the entire data ecosystem. Anomaly detection learns from your data and seasonality patterns, with automatic backfill from historical data. Machine learning-based thresholds are trained per data segment, trained on actual data instead of metadata only. -
35
Datagaps DataOps Suite
Datagaps
Datagaps DataOps Suite is a comprehensive platform designed to automate and streamline data validation processes across the entire data lifecycle. It offers end-to-end testing solutions for ETL (Extract, Transform, Load), data integration, data management, and business intelligence (BI) projects. Key features include automated data validation and cleansing, workflow automation, real-time monitoring and alerts, and advanced BI analytics tools. The suite supports a wide range of data sources, including relational databases, NoSQL databases, cloud platforms, and file-based systems, ensuring seamless integration and scalability. By leveraging AI-powered data quality assessments and customizable test cases, Datagaps DataOps Suite enhances data accuracy, consistency, and reliability, making it an essential tool for organizations aiming to optimize their data operations and achieve faster returns on data investments. -
36
Code-Cube.io
Code-Cube.io
Code-Cube.io is a full-stack marketing observability platform designed to monitor and protect dataLayer integrity, tags, and conversion tracking. It helps businesses detect tracking issues instantly and provides real-time alerts to prevent data loss and performance drops. The platform eliminates the need for manual quality assurance by continuously auditing tracking implementations across websites and applications. With tools like Tag Monitor and DataLayer Guard, users gain full visibility into how tags and events behave across both client-side and server-side environments. Code-Cube.io ensures that marketing data remains accurate, enabling better decision-making and optimized campaign performance. It also helps prevent wasted ad spend by identifying broken or delayed tracking signals before they impact reporting and revenue. Overall, the platform empowers teams to rely on clean, actionable data for scaling marketing efforts efficiently.Starting Price: €150/month -
37
Collate
Collate
Collate is an AI‑driven metadata platform that empowers data teams with automated discovery, observability, quality, and governance through agent‑based workflows. Built on the open source OpenMetadata foundation and a unified metadata graph, it offers 90+ turnkey connectors to ingest metadata from databases, data warehouses, BI tools, and pipelines, delivering in‑depth column‑level lineage, data profiling, and no‑code quality tests. Its AI agents automate data discovery, permission‑aware querying, alerting, and incident‑management workflows at scale, while real‑time dashboards, interactive analyses, and a collaborative business glossary enable both technical and non‑technical users to steward high‑quality data assets. Continuous monitoring and governance automations enforce compliance with standards such as GDPR and CCPA, reducing mean time to resolution for data issues and lowering total cost of ownership.Starting Price: Free -
38
MatchX
VE3 Global
MatchX is an AI-powered data quality and matching platform that cleans, connects, and governs your data — without the manual struggle. It finds and fixes duplicates, inconsistencies, missing fields, and mismatches across systems, even in complex, unstructured sources like scanned documents. The result? You get clean, connected, and trusted data — ready for AI, analytics, automation, and everyday business decisions. MatchX offers a comprehensive AI-enhanced data quality and matching solution that revolutionizes how companies manage their information assets. By integrating powerful data ingestion capabilities and intelligent schema mapping, MatchX structures and validates data from diverse sources, including APIs, databases, and documents. The platform’s self-learning AI models automatically detect and correct inconsistencies, duplicates, and anomalies, ensuring data integrity without intensive manual intervention. -
39
Oracle Enterprise Data Quality provides a comprehensive data quality management environment, used to understand, improve, protect and govern data quality. The software facilitates best practice Master Data Management, Data Governance, Data Integration, Business Intelligence and data migration initiatives, as well as providing integrated data quality in CRM and other applications and cloud services. Oracle Enterprise Data Quality Address Verification Server adds integrated global address verification and geocoding capabilities onto an Oracle Enterprise Data Quality Server.
-
40
Data8
Data8
Data8 offers a comprehensive suite of cloud-based data quality solutions designed to ensure your data is clean, accurate, and up-to-date. Our services encompass data validation, cleansing, migration, and monitoring, tailored to meet specific business needs. Data validation services include real-time verification tools for address autocomplete, postcode lookup, bank account validation, email verification, name and phone validation, and business insights, all aimed at capturing accurate customer data at the point of entry. Data8 helps improve B2B and B2C databases by offering appending and enhancement services, email and phone validation, data suppression for goneaways and deceased individuals, deduplication and merge services, PAF cleansing, and preference services. Data8 is an automated deduplication solution compatible with Microsoft Dynamics 365, designed to dedupe, merge, and standardize multiple records efficiently.Starting Price: $0.053 per lookup -
41
DataFirst AI
Jade Global
DataFirst AI by Jade Global is a comprehensive platform that ensures your data is ready for AI success. Assess, enrich, and improve data quality across multiple domains to unlock actionable insights and drive business outcomes. Reduce risks, improve decision-making, and accelerate AI adoption with a structured, enterprise-grade approach. Key Features: - Multi-dimensional data assessment & maturity scoring - Gap analysis and readiness heatmaps - Automated data cleansing and enrichment - AI-ready data transformation Benefits: - Achieve up to 95%+ data quality - Reduce AI project failure risks - Enable faster, smarter AI implementations -
42
SAS Data Quality
SAS Institute
SAS Data Quality meets you where you are, addressing your data quality issues without requiring you to move your data. You’ll work faster and more efficiently – and, with role-based security, you won’t put sensitive data at risk. Data quality isn’t something you do just once; it’s a process. We help you at every stage, making it easy to profile and identify problems, preview data, and set up repeatable processes to maintain a high level of data quality. Only SAS delivers this much breadth and depth of data quality knowledge. We’ve experienced it all – and integrated that experience into our products. We know that data quality can mean taking things that look wrong and seeing if they’re actually right. How? With matching logic. Profiling. Deduplicating. SAS Data Quality gives business users the power to update and tweak data themselves, so IT is no longer spread too thin. Out-of-the-box capabilities don’t require extra coding. -
43
APERIO DataWise
APERIO
Data is used in every aspect of a processing plant or facility, it is underlying most operational processes, most business decisions, and most environmental events. Failures are often attributed to this same data, in terms of operator error, bad sensors, safety or environmental events, or poor analytics. This is where APERIO can alleviate these problems. Data integrity is a key element of Industry 4.0; the foundation upon which more advanced applications, such as predictive models, process optimization, and custom AI tools are developed. APERIO DataWise is the industry-leading provider of reliable, trusted data. Automate the quality of your PI data or digital twins continuously and at scale. Ensure validated data across the enterprise to improve asset reliability. Empower the operator to make better decisions. Detect threats made to operational data to ensure operational resilience. Accurately monitor & report sustainability metrics. -
44
Understanding the quality, content and structure of your data is an important first step when making critical business decisions. IBM® InfoSphere® Information Analyzer, a component of IBM InfoSphere Information Server, evaluates data quality and structure within and across heterogeneous systems. It utilizes a reusable rules library and supports multi-level evaluations by rule record and pattern. It also facilitates the management of exceptions to established rules to help identify data inconsistencies, redundancies, and anomalies, and make inferences about the best choices for structure.
-
45
Verodat
Verodat
Verodat is a SaaS platform that gathers, prepares, enriches and connects your business data to AI Analytics tools. For outcomes you can trust. Verodat automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages data requests to suppliers. Monitors the data workflow to identify bottlenecks & resolve issues. Generates an audit trail to evidence quality assurance for every data row. Customize validation & governance to suit your organization. Reduces data prep time by 60%, allowing data analysts to focus on insights. The central KPI Dashboard reports key metrics on your data pipeline, allowing you to identify bottlenecks, resolve issues and improve performance. The flexible rules engine allows users to easily create validation and testing to suit your organization's needs. With out of the box connections to Snowflake, Azure and other cloud systems, it's easy to integrate with your existing tools. -
46
Melissa Data Quality Suite
Melissa
Up to 20 percent of a company’s contacts contain bad data according to industry experts; resulting in returned mail, address correction fees, bounced emails, and wasted sales and marketing efforts. Use the Data Quality Suite to standardize, verify and correct all your contact data, postal address, email address, phone number, and name for effective communications and efficient business operations. Verify, standardize, & transliterate addresses for over 240 countries. Use intelligent recognition to identify 650,000+ ethnically-diverse first & last names. Authenticate phone numbers, and geo-data & ensure mobile numbers are live & callable. Validate domain, syntax, spelling, & even test SMTP for global email verification. The Data Quality Suite helps organizations of all sizes verify and maintain data so they can effectively communicate with their customers via postal mail, email, or phone. -
47
Cleanlab
Cleanlab
Cleanlab Studio handles the entire data quality and data-centric AI pipeline in a single framework for analytics and machine learning tasks. Automated pipeline does all ML for you: data preprocessing, foundation model fine-tuning, hyperparameter tuning, and model selection. ML models are used to diagnose data issues, and then can be re-trained on your corrected dataset with one click. Explore the entire heatmap of suggested corrections for all classes in your dataset. Cleanlab Studio provides all of this information and more for free as soon as you upload your dataset. Cleanlab Studio comes pre-loaded with several demo datasets and projects, so you can check those out in your account after signing in. -
48
ebCard
ebCard
Your lead data management platform. Capture, qualify and synchronize lead data with your systems. Capture, qualify, nurture and convert faster, better, and cheaper. Capture any source of lead data and get more data points with the minimum effort and highest quality. Qualify leads with your notes and questions before you send them to your marketing and sales tools. Synch all contact data with your sales and marketing platform and trigger your conversion processes.Starting Price: $1975 per year -
49
Crux
Crux
Find out why the heavy hitters are using the Crux external data automation platform to scale external data integration, transformation, and observability without increasing headcount. Our cloud-native data integration technology accelerates the ingestion, preparation, observability and ongoing delivery of any external dataset. The result is that we can ensure you get quality data in the right place, in the right format when you need it. Leverage automatic schema detection, delivery schedule inference, and lifecycle management to build pipelines from any external data source quickly. Enhance discoverability throughout your organization through a private catalog of linked and matched data products. Enrich, validate, and transform any dataset to quickly combine it with other data sources and accelerate analytics. -
50
Ataccama ONE
Ataccama
Ataccama reinvents the way data is managed to create value on an enterprise scale. Unifying Data Governance, Data Quality, and Master Data Management into a single, AI-powered fabric across hybrid and Cloud environments, Ataccama gives your business and data teams the ability to innovate with unprecedented speed while maintaining trust, security, and governance of your data.
