Alternatives to Datafold
Compare Datafold alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Datafold in 2026. Compare features, ratings, user reviews, pricing, and more from Datafold competitors and alternatives in order to make an informed decision for your business.
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DataHub
DataHub
DataHub Cloud is an event-driven AI & Data Context Platform that uses active metadata for real-time visibility across your entire data ecosystem. Unlike traditional data catalogs that provide outdated snapshots, DataHub Cloud instantly propagates changes, automatically enforces policies, and connects every data source across platforms with 100+ pre-built connectors. Built on an open source foundation with a thriving community of 13,000+ members, DataHub gives you unmatched flexibility to customize and extend without vendor lock-in. DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support. -
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Code-Cube.io
Code-Cube.io
Code-Cube.io is the full-stack data collection observability platform that protects your dataLayer, tags and conversion data. It detects tracking issues instantly and provides real-time alerts to prevent data loss and performance drops. The platform eliminates the need for manual QA by continuously auditing tracking implementations across websites and applications. 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, preventing wasted ad spend and maximizing campaign performance. -
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DataBuck
FirstEigen
DataBuck is an AI-powered data validation platform that automates risk detection across dynamic, high-volume, and evolving data environments. DataBuck empowers your teams to: ✅ Enhance trust in analytics and reports, ensuring they are built on accurate and reliable data. ✅ Reduce maintenance costs by minimizing manual intervention. ✅ Scale operations 10x faster compared to traditional tools, enabling seamless adaptability in ever-changing data ecosystems. By proactively addressing system risks and improving data accuracy, DataBuck ensures your decision-making is driven by dependable insights. Proudly recognized in Gartner’s 2024 Market Guide for #DataObservability, DataBuck goes beyond traditional observability practices with its AI/ML innovations to deliver autonomous Data Trustability—empowering you to lead with confidence in today’s data-driven world. -
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MuukTest
MuukTest
Are bugs slipping through your QA process and frustrating your customers? Catching issues early shouldn’t mean overwhelming your team with time-consuming tests. With MuukTest’s AI-driven platform, growing engineering teams reach 95% end-to-end test coverage in just 3 months, delivering quality at speed. By leveraging AI, our QA experts rapidly design, manage, and maintain comprehensive E2E tests for web, mobile, and API applications on the MuukTest platform. Within 8 weeks, we deliver full regression coverage, followed by exploratory and negative testing to uncover hidden bugs and expand test scenarios. We also proactively identify and address flaky tests and false results to ensure the reliability of your tests. Testing early and often allows you to detect bugs in the early stages of your development lifecycle, reducing the burden of technical debt down the line. -
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CloudQA
Statnetics, LLC
CloudQA offers a powerful no-code/low code automation platform to speed up regression testing OR continuous monitoring of web applications. Type, click, and interact with your site as you normally would. Our recorder captures all of your actions as you navigate your site. No worrying about complexities like nested iFrames or dynamic elements. Intuitive and intelligent script maintenance - Manage tests/monitoring scripts with visual editor, as it creates a dynamic test model that is updated to reflect changes in your application. Automate complex steps with simple JavaScript & select variable data sets. With automation accelerators you require no setup, no infrastructure & no lock-in. Get high volume parallel, scalable & collaborative testing in cloud. Out of the box support for legacy & latest web technologies. See live execution of your tests, share summary & detailed reports with screenshots. Integrate with your tech stack and setup custom notifications.Starting Price: $99.00/month -
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Testsigma
Testsigma
Testsigma is a low-code end-to-end software testing platform that works out of the box. It's built to enable modern Product teams to collaboratively plan, develop, execute, analyze, debug, and report on their automated testing—for websites, native Android and iOS apps, and APIs. Testsigma test scripts are code-agnostic. While the platform itself is built with Java, you can write test scripts in simple English or use the Test Recorder to generate airtight test scripts for websites and native mobile apps. You can also use the test recorder on your own device farm/grid or on Testsigma's built-in device lab on the cloud. The platform has built-in visual testing, parametrized or data-driven testing, 2FA testing, and more advanced features for easy test automation. Our AI automatically fixes unstable elements and test steps, identifies and isolates regression-affected scripts, and provides suggestions to help you find and fix test failures. -
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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. -
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Monte Carlo
Monte Carlo
We’ve met hundreds of data teams that experience broken dashboards, poorly trained ML models, and inaccurate analytics — and we’ve been there ourselves. We call this problem data downtime, and we found it leads to sleepless nights, lost revenue, and wasted time. Stop trying to hack band-aid solutions. Stop paying for outdated data governance software. With Monte Carlo, data teams are the first to know about and resolve data problems, leading to stronger data teams and insights that deliver true business value. You invest so much in your data infrastructure – you simply can’t afford to settle for unreliable data. At Monte Carlo, we believe in the power of data, and in a world where you sleep soundly at night knowing you have full trust in your data. -
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Metaplane
Metaplane
Monitor your entire warehouse in 30 minutes. Identify downstream impact with automated warehouse-to-BI lineage. Trust takes seconds to lose and months to regain. Gain peace of mind with observability built for the modern data era. Code-based tests take hours to write and maintain, so it's hard to achieve the coverage you need. In Metaplane, you can add hundreds of tests within minutes. We support foundational tests (e.g. row counts, freshness, and schema drift), more complex tests (distribution drift, nullness shifts, enum changes), custom SQL, and everything in between. Manual thresholds take a long time to set and quickly go stale as your data changes. Our anomaly detection models learn from historical metadata to automatically detect outliers. Monitor what matters, all while accounting for seasonality, trends, and feedback from your team to minimize alert fatigue. Of course, you can override with manual thresholds, too.Starting Price: $825 per month -
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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. -
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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. -
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Decube
Decube
Decube is a data management platform that helps organizations manage their data observability, data catalog, and data governance needs. It provides end-to-end visibility into data and ensures its accuracy, consistency, and trustworthiness. Decube's platform includes data observability, a data catalog, and data governance components that work together to provide a comprehensive solution. The data observability tools enable real-time monitoring and detection of data incidents, while the data catalog provides a centralized repository for data assets, making it easier to manage and govern data usage and access. The data governance tools provide robust access controls, audit reports, and data lineage tracking to demonstrate compliance with regulatory requirements. Decube's platform is customizable and scalable, making it easy for organizations to tailor it to meet their specific data management needs and manage data across different systems, data sources, and departments. -
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SYNQ
SYNQ
SYNQ is a data observability platform that helps modern data teams define, monitor, and manage their data products. It brings together ownership, testing, and incident workflows so teams can stay ahead of issues, reduce data downtime, and deliver trusted data faster. With SYNQ, every critical data product has clear ownership and real-time visibility into its health. When something breaks, the right people are alerted—with the context they need to understand and resolve the issue quickly. At the center of SYNQ is Scout, your autonomous, always-on data quality agent. Scout proactively monitors data products, recommends what and where to test, does root-cause analysis and fixes issues. It connects lineage, issue history, and contextual data to help teams fix problems faster. SYNQ integrates with the tools you already use and is trusted by leading scale-ups and enterprises such as VOI, Avios, Aiven and Ebury.Starting Price: $0 -
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Anomalo
Anomalo
Anomalo helps you get ahead of data issues by automatically detecting them as soon as they appear in your data and before anyone else is impacted. Detect, root-cause, and resolve issues quickly – allowing everyone to feel confident in the data driving your business. Connect Anomalo to your Enterprise Data Warehouse and begin monitoring the tables you care about within minutes. Our advanced machine learning will automatically learn the historical structure and patterns of your data, allowing us to alert you to many issues without the need to create rules or set thresholds. You can also fine-tune and direct our monitoring in a couple of clicks via Anomalo’s No Code UI. Detecting an issue is not enough. Anomalo’s alerts offer rich visualizations and statistical summaries of what’s happening to allow you to quickly understand the magnitude and implications of the problem. -
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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. -
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ThinkData Works
ThinkData Works
Data is the backbone of effective decision-making. However, employees spend more time managing it than using it. ThinkData Works provides a robust catalog platform for discovering, managing, and sharing data from both internal and external sources. Enrichment solutions combine partner data with your existing datasets to produce uniquely valuable assets that can be shared across your entire organization. Unlock the value of your data investment by making data teams more efficient, improving project outcomes, replacing multiple existing tech solutions, and providing you with a competitive advantage. -
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Telmai
Telmai
A low-code no-code approach to data quality. SaaS for flexibility, affordability, ease of integration, and efficient support. High standards of encryption, identity management, role-based access control, data governance, and compliance standards. Advanced ML models for detecting row-value data anomalies. Models will evolve and adapt to users' business and data needs. Add any number of data sources, records, and attributes. Well-equipped for unpredictable volume spikes. Support batch and streaming processing. Data is constantly monitored to provide real-time notifications, with zero impact on pipeline performance. Seamless boarding, integration, and investigation experience. Telmai is a platform for the Data Teams to proactively detect and investigate anomalies in real time. A no-code on-boarding. Connect to your data source and specify alerting channels. Telmai will automatically learn from data and alert you when there are unexpected drifts. -
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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. -
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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. -
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Aggua
Aggua
Aggua is a data fabric augmented AI platform that enables data and business teams Access to their data, creating Trust and giving practical Data Insights, for a more holistic, data-centric decision-making. Instead of wondering what is going on underneath the hood of your organization's data stack, become immediately informed with a few clicks. Get access to data cost insights, data lineage and documentation without needing to take time out of your data engineer's workday. Instead of spending a lot of time tracing what a data type change will break in your data pipelines, tables and infrastructure, with automated lineage, your data architects and engineers can spend less time manually going through logs and DAGs and more time actually making the changes to infrastructure. -
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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. -
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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 -
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IBM watsonx.data integration is a data integration platform designed to help organizations transform raw data into AI-ready data at scale. The platform enables data teams to build, manage, and optimize data pipelines across multiple environments, including on-premises systems and hybrid or multi-cloud infrastructures. With a unified control plane, watsonx.data integration supports multiple integration styles such as batch processing, real-time streaming, and data replication within a single solution. The platform also offers no-code, low-code, and pro-code development options, allowing both technical and non-technical users to design and manage data pipelines efficiently. By simplifying data integration workflows and reducing reliance on multiple tools, watsonx.data integration helps organizations deliver reliable data for analytics and AI applications.
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Mozart Data
Mozart Data
Mozart Data is the all-in-one modern data platform that makes it easy to consolidate, organize, and analyze data. Start making data-driven decisions by setting up a modern data stack in an hour - no engineering required. -
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Kensu
Kensu
Kensu monitors the end-to-end quality of data usage in real time so your team can easily prevent data incidents. It is more important to understand what you do with your data than the data itself. Analyze data quality and lineage through a single comprehensive view. Get real-time insights about data usage across all your systems, projects, and applications. Monitor data flow instead of the ever-increasing number of repositories. Share lineages, schemas and quality info with catalogs, glossaries, and incident management systems. At a glance, find the root causes of complex data issues to prevent any "datastrophes" from propagating. Generate notifications about specific data events and their context. Understand how data has been collected, copied and modified by any application. Detect anomalies based on historical data information. Leverage lineage and historical data information to find the initial cause. -
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Testimony
Basis
Testimony reinvents SAP regression testing by eliminating the cost, effort and complexity of test script creation and maintenance. Rapid delivery of innovation can’t come at the expense of business continuity. But it’s hard to know exactly what impact change will have when critical processes rely on complex SAP systems. Testimony provides the confidence your teams need to accelerate change without fear of unintended outcomes. Its unique technology avoids the challenge and expense of traditional regression testing by eliminating script creation and maintenance. Robotic Test Automation is a fully automated approach that observes live user behavior in SAP production system and uses this data to automatically validate the impact of change. The technology massively reduces the need for resource-intensive steps such as business process discovery, test script creation and test data management. -
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Tokalabs
Tokalabs
Software Defined Labs reduces costs and improves efficiency for engineering teams including QA/DevTest, Software Development, Support/TAC and Technical Marketing and Performance. Sandboxes, whether they are designed to be test beds for feature, system, performance, interop or regression testing or they are replications of customer topologies for debugging, can be easily constructed and shared across teams and among team members. The Tokalabs SDL solution includes a Software-Defined fabric that eliminates the need for physical rewiring and enables teams to create an exponential number of topologies are created, managed, and used for testing, debugging, recreation, and regression. Resources are also easily shared in software. -
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Prodly AppOps
Prodly
Remove the bottlenecks in application development, so administrators and other non-technical users can configure, test, and release apps faster, more reliability, and with less interruption to users. Our AppOps platform automates the entire development lifecycle for low-code applications giving administrators easy to use tools for change management, version control, regression testing, and reference data deployment. Speed through release management by automating tedious reference data deployments between Salesforce orgs. Our templates make managing even the most complex, relational data sets a breeze. So you can deploy faster than you can say change set. Sometimes small changes have unexpected consequences. Not to worry; we’ve got you covered with automated regression testing. Find and fix bugs—before they’re introduced in production. Keep your apps running smoothly and roll out new features with certainty. -
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Masthead
Masthead
See the impact of data issues without running SQL. We analyze your logs and metadata to identify freshness and volume anomalies, schema changes in tables, pipeline errors, and their blast radius effects on your business. Masthead observes every table, process, script, and dashboard in the data warehouse and connected BI tools for anomalies, alerting data teams in real time if any data failures occur. Masthead shows the origin and implications of data anomalies and pipeline errors on data consumers. Masthead maps data issues on lineage, so you can troubleshoot within minutes, not hours. We get a comprehensive view of all processes in GCP without giving access to our data was a game-changer for us. It saved us both time and money. Gain visibility into the cost of each pipeline running in your cloud, regardless of ETL. Masthead also has AI-powered recommendations to help you optimize your models and queries. It takes 15 min to connect Masthead to all assets in your data warehouse.Starting Price: $899 per month -
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IBM Rational Functional Tester is an automated functional testing and regression testing tool. This software provides automated testing capabilities for functional, regression, GUI and data-driven testing. It supports a range of applications, including web-based, .Net, Java, Siebel, SAP, terminal emulator-based applications, and PowerBuilder. Simplifies test visualization and editing using natural language and rendered screenshots. Enables testers to automate tests resilient to frequent application user interface changes with ScriptAssure technology. Combines a recorder of user actions with multiple customization options and intelligent script maintenance capabilities. Supports sharing of functional tests across team members and running on hybrid environments with integrations with Rational Test Automation Server.
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SOAPSonar
Crosscheck Networks
Validate the functional behavior of APIs with client input simulations. Success criteria rules provide validation and regression testing of API behavior. Tests can be run on-demand or automated. Supports latest OpenAPI standards for automatically parsing OpenAPI documents and building test cases for all of the defined operations. Test authentication schemes including OAuth, SAML, PKI, Basic Auth, Amazon Auth, and Kerberos. Verify SSO tokens and cookies. Create behavior baselines and run regression tests to determine if any breakage or change of behavior occurs. Includes JSON and XML Diff capability. Test encryption and decryption of JSON, XML, REST, and SOAP message patterns. Simulate load from multiple virtual clients to measure and validate the performance criteria of the target APIs. Dynamic security and identity provide real world simulated inputs. Built-in support for AWSv4 signatures to authenticate to and test Amazon AWS APIs.Starting Price: $80/month -
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Observo AI
Observo AI
Observo AI is an AI-native data pipeline platform designed to address the challenges of managing vast amounts of telemetry data in security and DevOps operations. By leveraging machine learning and agentic AI, Observo AI automates data optimization, enabling enterprises to process AI-generated data more efficiently, securely, and cost-effectively. It reduces data processing costs by over 50% and accelerates incident response times by more than 40%. Observo AI's features include intelligent data deduplication and compression, real-time anomaly detection, and dynamic data routing to appropriate storage or analysis tools. It also enriches data streams with contextual information to enhance threat detection accuracy while minimizing false positives. Observo AI offers a searchable cloud data lake for efficient data storage and retrieval. -
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Devzery
Devzery Technologies
Devzery is an AI-powered platform that revolutionizes API regression testing with codeless automation and seamless CI/CD integration. It enables teams to create, execute, and manage tests effortlessly, reducing manual effort while maximizing coverage. With support for multiple programming languages, Devzery caters to diverse environments, offering intelligent change detection, automated test case updates, and detailed reporting. It ensures comprehensive API validation, including performance and security testing, helping teams deliver robust, high-quality software faster. Perfect for startups and enterprises, Devzery streamlines QA, minimizes risks, and accelerates development timelines.Starting Price: $25 -
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Bigeye
Bigeye
Bigeye is the data observability platform that helps teams measure, improve, and communicate data quality clearly at any scale. Every time a data quality issue causes an outage, the business loses trust in the data. Bigeye helps rebuild trust, starting with monitoring. Find missing and busted reporting data before executives see it in a dashboard. Get warned about issues in training data before models get retrained on it. Fix that uncomfortable feeling that most of the data is mostly right, most of the time. Pipeline job statuses don't tell the whole story. The best way to ensure data is fit for use, is to monitor the actual data. Tracking dataset-level freshness ensures pipelines are running on schedule, even when ETL orchestrators go down. Find out about changes to event names, region codes, product types, and other categorical data. Detect drops or spikes in row counts, nulls, and blank values to ensure everything is populating as expected. -
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ProdPerfect
ProdPerfect
ProdPerfect is the first autonomous, end-to-end (E2E) regression testing solution that continuously builds, maintains, and evolves E2E test suites via data-driven, machine-led analysis of live user behavior data. It is the only fully managed solution that addresses critical test coverage gaps, eliminates long test suite runtimes and costly bugs in production, and removes the QA burden that consumes massive engineering resources. ProdPerfect continuously detects and discovers user journeys via anonymous user click data and analyzes them to generate functional end-to-end tests. After speaking with thousands of innovative technology leaders, we understand how to integrate the ProdPerfect platform and create a more effective approach to end-to-end testing for teams pursuing CI/CD deployments. Start a conversation with us today to learn how ProdPerfect can help your team achieve continuous development. -
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Diffblue Cover
Diffblue
Diffblue Cover analyzes your existing Java program and writes unit regression tests that reflect the current behavior of the code. The CLI tool works 100% autonomously, configuring itself from your Maven or Gradle environment. By bringing automation to the test-writing process, the CLI tool provides a speed boost for organizations that are working towards achieving DevOps goals like CI/CD. Since it fits into a CI pipeline, the CLI tool protects the whole codebase from regressions by shifting testing left. Diffblue Cover's unit regression tests run fast and verify new code changes immediately, helping users detect undesirable changes in the code’s behavior as early as possible, when they're the quickest, easiest, and cheapest to fix. And tests are automatically maintained, saving teams even more time.Starting Price: Free -
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TestUnity
TestUnity
TestUnity is a provider of software testing services. We help companies release their software with confidence and assurance. We test your applications from various perspectives to assure the best feasible coverage. Be it any type of testing, or any type of interface to be tested, or be it a traditional package to be tested, we have the correct solution custom build for you. Ensures that the modifications did not introduce new errors into the existing codes by employing an efficient regression testing approach. Add stability to your core functions and produce more by employing our API and microservices testing. Accelerate testing on your project with scriptless, AI-based, no-code approach features of Tricentis TOSCA. Get access to the best possible type of test data for testing in production by leveraging our services. Boost your operational efficiency by eliminating human intervention and automating repetitive business processes with a software bot. -
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RemoteLaunch
inflectra
Extend your SpiraTest installation with support for automated regression testing. Our RemoteLaunch application will connect to your automated testing tools and allow SpiraTest to orchestrate your testing activities, both manual and automated in one place. Automated test scripts are a valuable way to perform regression testing on applications to ensure that new features or bug fixes don’t break existing functionality. They typically supplement manual testing which is more efficient at the testing of new features and capabilities. For complete test coverage you need to perform the same automated tests across a complete spectrum of platforms, browsers, devices and environments. Using RemoteLaunch® with SpiraTest® or SpiraTeam® allows you to manage the automated testing process. Track the automated tests against the project’s requirements Have a holistic view of manual and automated testing.Starting Price: $199.99 per year -
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Perform More Testing in Less Time to Meet Performance Demands Hiperstation provides automated load, performance and regression testing capabilities that help DevOps teams perform more testing in less time and on a more consistent basis while ensuring applications meet production performance and reliability criteria. Hiperstation enables developers to create automated, consistent, repeatable regression and performance tests representing application business requirements. Conduct pre-production performance testing for applications and systems software. Analyze test results in which all application response differences are identified. Thoroughly document mainframe application testing results. Simulate server application responses during a user interface test. Test operating system, language environment or subsystem changes. Test application changes without a user interface.
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JCov
OpenJDK
The JCov open-source project is used to gather quality metrics associated with the production of test suites. JCov is being opened in order to facilitate the practice of verifying test execution of regression tests in OpenJDK development. The main motivation behind JCov is the transparency of test coverage metrics. The advantage to promoting standard coverage based on JCov is that OpenJDK developers will be able to use a code coverage tool that stays in the 'lock step' with Java language and VM developments. JCov is a pure java implementation of a code coverage tool that provides a means to measure and analyze dynamic code coverage of Java programs. JCov provides functionality to collect method, linear block, and branch coverage, as well as show uncovered execution paths. It is also able to show a program's source code annotated with coverage information. From a testing perspective, JCov is most useful to determine execution paths.Starting Price: Free -
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TestingWhiz
TestingWhiz
Make test automation a breeze with TestingWhiz, an easy and intuitive end-to-end test automation solution for software, web, and mobile apps. Based on a robust FAST® Automation Engine, TestingWhiz has a codeless architecture that allows individual testers, test engineers and large or small automation teams to build test cases effortlessly. TestingWhiz' automated testing solutions include web UI, mobile, database, web services, cross browser, big data, regression, and data-driven test automation solutions.Starting Price: $149.00/month/user -
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BugBug
BugBug
Create reliable tests just by recording your user journey on the web application. No coding skill required. Make sure that application crucial flows work correctly by running and verifying tests within a schedule. Stop wasting your time on testing the same things after app changes. Use BugBug to automate manual regression tests. No more struggling with IT infrastructure. Run tests in BugBug cloud radically cutting DevOps costs. No matter how experienced they are. With BugBug creating tests in a team is really easy, enjoyable and powerful. Build trust and improve user satisfaction by drastically reducing the chances of bugs on each delivery. Create tests by recording actions in the browser, edit and run them knowing that they will really work! We have created a reliable record & playback tool that will improve your work, not just advertise it in this way.Starting Price: €69 per month -
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Sift
Sift
Sift is a unified observability platform purpose-built for modern, mission-critical hardware systems that provides engineers with infrastructure and tooling to ingest, store, normalize, and explore high-frequency, high-cardinality telemetry and event data from design, validation, manufacturing, and operations in a single source of truth rather than fragmented dashboards and scripts; it centralizes diverse data types, aligns signals across subsystems, and structures information for fast search, visual review, and traceability so teams can detect anomalies, perform root-cause analysis, automate verification and validation, and debug hardware with real-time precision. It supports automated data review, no-code visualization and querying of massive datasets, continuous anomaly detection, and integration with engineering workflows, including CI/CD pipelines and tooling, while enabling telemetry governance, collaboration, reporting, and knowledge capture across siloed teams. -
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TESSY
Razorcat
TESSY automates the whole unit test cycle including regression testing for your embedded software in C/C++ on different target systems. As an easy-to-install and easy-to-operate testing tool TESSY guides you through the unit test workflow from the project setup through the test design and execution to the result analysis and reporting. TESSY takes additional care of the complete test organization as well as the test management, including requirements, coverage measurement, and traceability. The TESSY test project management feature provides the possibility to define an individual test project structure based on collections and folders, to define environment variables, and to configure your desired compiler/debugger with the help of the integrated Test Environment Editor. The coverage results are displayed directly within the project structure and the test results are stored within test runs which allows for keeping former (successful) results for reporting. -
45
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. -
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Matia
Matia
Matia is a unified DataOps platform designed to simplify modern data management by combining multiple core functions into a single, integrated system. It brings together ETL, reverse ETL, data observability, and a data catalog, eliminating the need for multiple disconnected tools and reducing the complexity of managing fragmented data stacks. It enables teams to move data quickly and reliably from various sources into data warehouses using advanced ingestion capabilities, including real-time updates and error handling, while also allowing them to push trusted data back into operational tools for business use. Matia emphasizes built-in observability at every stage of the data pipeline, providing monitoring, anomaly detection, and automated quality checks to ensure data accuracy and reliability before issues impact downstream systems. -
47
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 -
48
Soda
Soda
Soda drives your data operations by identifying data issues, alerting the right people, and helping teams diagnose and resolve root causes. With automated and self-serve data monitoring capabilities, no data—or people—are ever left in the dark. Get ahead of data issues quickly by delivering full observability through easy instrumentation across your data workloads. Empower data teams to discover data issues that automation will miss. Self-service capabilities deliver the broad coverage that data monitoring needs. Alert the right people at the right time to help teams across the business diagnose, prioritize, and fix data issues. With Soda, your data never leaves your private cloud. Soda monitors data at the source and only stores metadata in your cloud. -
49
Loadmill
Loadmill
Create automated API tests from real user sessions. Loadmill helps companies unclog the Dev pipeline, boost velocity and automate manual testing by replaying real user behavior. Eliminate regression bugs by replaying thousands of tests based on real user flows. Reduce your regression cycle duration and keep your team focused on what matters. Cut costs on ineffective testing efforts and maintenance. Automatically generate regression tests from real user recordings. Move fast and keep your team focused on what matters. Automate the entire QA process by replaying real user behavior. Integrate Loadmill into your continuous delivery pipeline and start shipping faster. Loadmill is using real traffic from websites around the world to test your server's performance. Get results fast - launch tests within seconds & detect bottle-necks before production. Truly distributed - unlimited unique IPs and locations per test. Record and replay your own user scenarios at scale. -
50
VisWiz.io
VisWiz.io
The VisWiz.io Github app verifies commits in pull requests of Github repositories. The VisWiz.io Github app updates the correct commit status and posts a descriptive comment with a summary of the visual regression testing for the changes in the pull request. You get notified using the channel you prefer – be it email, Slack, Microsoft Teams or anything else with a webhook. Our web app is the perfect way to go through the reports on the visual differences between your builds. VisWiz.io is built to be light-weight, easily customizable to suit your needs. It works seamlessly with most modern CI systems and is a great additional tool to UI test frameworks such as Cypress, Puppeteer, webdriver.io, Selenium or UI component explorers such as Storybook.Starting Price: $39 per month
