Best Web-Based Test Data Management Tools of 2024

Parasoft's mission is to provide automated testing solutions and expertise that empower organizations to expedite delivery of safe and reliable software. A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.

K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.

IRI FieldShield® is a powerful and affordable data discovery and de-identification package for masking PII, PHI, PAN and other sensitive data in structured and semi-structured sources. Front-ended in a free Eclipse-based design environment, FieldShield jobs classify, profile, scan, and de-identify data at rest (static masking). Use the FieldShield SDK or proxy-based application to secure data in motion (dynamic data masking). The usual method for masking RDB and other flat files (CSV, Excel, LDIF, COBOL, etc.) is to classify it centrally, search for it globally, and automatically mask it in a consistent way using encryption, pseudonymization, redaction or other functions to preserve realism and referential integrity in production or test environments. Use FieldShield to make test data, nullify breaches, or comply with GDPR. HIPAA. PCI, PDPA, PCI-DSS and other laws. Audit through machine- and human-readable search reports, job logs and re-ID risks scores. Optionally mask data when you map it; FieldShield functions can also run in IRI Voracity ETL and federation, migration, replication, subsetting, and analytic jobs. To mask DB clones run FieldShield in Windocks, Actifio or Commvault. Call it from CI/CD pipelines and apps.

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 ... 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 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. CloudTDMS is a No-code platform for your Test Data Management, it provides you everything you need to make your data development & testing go super fast! Especially, CloudTDMS solves the following challenges : -Regulatory Compliance -Test Data Readiness -Data profiling -Automation

DataLark is an SAP-centric data management platform that helps enterprises migrate, maintain, and integrate business-critical data on-premise and in the cloud more quickly, securely, and cost-effectively using its extensible plugins and connectivities. The DataLark platform works across a wide range of industries and types of enterprise data. Solutions: -Data Management -ERP -Data Validation and Profiling -Data Integration

The IRI Data Manager suite from IRI, The CoSort Company, provides all the tools you need to speed up data manipulation and movement. IRI CoSort handles big data processing tasks like DW ETL and BI/analytics. It also supports DB loads, sort/merge utility migrations (downsizing), and other data processing heavy lifts. IRI Fast Extract (FACT) is the only tool that you need to unload large databases quickly (VLDB) for DW ETL, reorg, and archival. IRI NextForm speeds up file and table migrations, and also supports data replication, data reformatting, and data federation. IRI RowGen generates referentially and structurally correct test data in files, tables, and reports, and also includes DB subsetting (and masking) capabilities for test environments. All of these products can be licensed standalone for perpetual use, share a common Eclipse job design IDE, and are also supported in IRI Voracity (data management platform) subscriptions.

Qualibrate, the cloud solution for SAP & Web Apps test automation, is like Salesforce. It has the power to be simple, customized, and integrate with most CI/CD tools. Test cases can be reused many times and are easy to maintain. It is risky to embark on a journey of software transformation. We offer a simple, yet powerful, solution to reduce risk and implement resources up to 80%. Recording a Business Process is all you have to do: user actions, test data and technical information will all be recorded. This recording will serve as your only source of truth for Automated and Manual tests, as well for Learning. Visit the website to learn more about Qualibrate's innovative approach to SAP and web app testing.

Mask, generate, subset, virtualize, and automate your test data with the DATPROF Test Data Management Suite. Our solution helps managing Personally Identifiable Information and/or too large databases. Long waiting times for test data refreshes are a thing of the past.

Test and verify data management for IBM iSeries, IBM iSeries and AS/400. Complex IBM i applications need to be tested from top to bottom and into the data wherever it is. TestBench IBM I is a proven, comprehensive solution for test data management, verification, and unit testing that integrates with other solutions to ensure application quality. Stop copying all the data and focus on what you need. You can select or sample data that has been kept in full referential integrity. You can choose which fields should be protected and then use a variety obfuscation techniques to protect your data. Track every insert, update, and delete. You can create rules to ensure that data failures are automatically flagged. Avoid painful save/restores, and stop trying to explain bad test results that were based on poor data. Although it is a proven method of verifying your test results, comparing outputs can be tedious and prone to error. This unique solution can save you hours.

It can generate generators instantly based on field length, table and column names, and other constraints. These generators can be customized to your needs. SQL Server Management Studio makes it easy to create large amounts of data in just a few clicks. Column-intelligent Data Generation - Generate data in one column based upon the data in another. Foreign key data can be created with greater flexibility and manual control. Shareable custom generators – Save regexp and SQL statement templates to share with your colleagues. You can write your own Python generators to create any additional data you require. Seeded random data generation makes it possible to generate the same set of data each time. Foreign key support for generating consistent data across multiple tables.

Database design * Database implementation * stored routines debuggers • test data generators • database auditing • data change loglogging * performance monitoring Fully featured test data generator tool: Generates real-life data into your database and data files. Firebird Server Monitoring Tool is the only one that is comprehensive and always up-to-date. Database Workbench provides a single environment for working with multiple databases engines. Database Workbench is a single development environment that allows you to develop with multiple database engines. It has powerful tools, consistent, clear, and intuitive user interfaces, which will help you increase your productivity right away.

Without making real API requests, it's difficult to create a meaningful UI prototype. Real requests will help you identify issues with timing, application flow, and API design. This will improve both the user experience as well as the API's quality. Mockaroo allows you to create your own mock APIs. You can control the URLs, response times, and error conditions. Paralellize UI development and API development to deliver better applications sooner! There are many great data mocking libraries for every language and platform. Not everyone is a programmer and not everyone has the time or desire to learn new frameworks. Mockaroo makes it easy to download large quantities of randomly generated test data, based on your specifications. This data can then be loaded directly into your test environment using SQL and CSV formats.

The essential technical tool for product development, manufacturing, maintenance, and testing is testing. It is crucial in optimizing product performance and extending product life. It also helps to control costs. Enterprise testing can accumulate a lot of test data that needs to be managed and used. Test managers have always struggled to organize this complex, scattered and diverse test data. The bottleneck that limits the test level and efficiency of an enterprise is how to allocate test resources efficiently, use test benches and equipment efficiently, and standardize test procedures. The TDM system was created in response to the problems encountered by enterprise trial businesses.

Delphix is the industry leader for DataOps. It provides an intelligent data platform that accelerates digital change for leading companies around world. The Delphix DataOps Platform supports many systems, including mainframes, Oracle databases, ERP apps, and Kubernetes container. Delphix supports a wide range of data operations that enable modern CI/CD workflows. It also automates data compliance with privacy regulations such as GDPR, CCPA and the New York Privacy Act. Delphix also helps companies to sync data between private and public clouds, accelerating cloud migrations and customer experience transformations, as well as the adoption of disruptive AI technologies.

Agile DevOps teams today need to be able to move faster. BMC Compuware File AID is a cross-platform data and file management solution that allows developers and QA staff to quickly access the data and files they need, rather than searching for them. Developers spend less time on data-related tasks and more time developing new functionality or managing production issues. You can make code changes with confidence by rightsizing your test data without worrying about unintended consequences. File-AID allows developers to: Effectively manage files across platforms All file types are available, regardless of format or record length, for application integration To simplify the validation of test results, compare data files and objects You can easily reformat files instead of starting from scratch by simply changing an existing file format. Extract and load related data from multiple files and databases More

The BiG EVAL platform provides powerful software tools to ensure and improve data quality throughout the entire lifecycle of information. BiG EVAL's data quality and testing software tools are built on the BiG EVAL platform, a comprehensive code base that aims to provide high performance and high flexibility data validation. All features were developed through practical experience gained from working with customers. It is crucial to ensure high data quality throughout the data lifecycle. This is essential for data governance. BiG EVAL DQM, an automation solution, supports you in all aspects of data quality management. Continuous quality checks validate enterprise data, provide a quality indicator, and support you in solving quality problems. BiG EVAL DTA allows you to automate testing tasks within your data-oriented project.

Data management software is used mainly by enterprise business teams. Data management software must be intuitive, automated, and intelligent. Data management activities must also adhere to specific industry and data protection regulations. Data must be accurate, consistent, high quality, and easily accessible to enable business teams to make informed, data-driven strategic business decisions. Integrates data privacy, data quality management and test data management. Service engine-based architecture allows for efficient handling of growing data volumes. Uses a user-defined function framework with python adapter to handle niche data processing needs. This provides a minimal layer of governance for data quality and privacy management.

EMS Data Generator for MySQL is a powerful tool that generates test data for MySQL database tables. It also allows you to save and modify scripts. This utility allows you to simulate a database production environment. It allows you to populate multiple MySQL database tables simultaneously, set value ranges and generate MySQL char fields using mask. You can also define tables and fields for data generation, create lists of values manually, select them from SQL queries, and set generation parameters for each type. There are many other features that allow you to generate MySQL test data quickly and easily. Data Generator for MySQL also includes a console application that allows you to quickly generate MySQL test data by using generation templates.

We can help you find, create, and subset data for test data; visualize test coverage; and protect data so that you can concentrate on development. Automate provisioning synthetically, subsetted, or masked data for development and testing purposes. Consistent masking across databases and within databases allows you to quickly identify sensitive data locations. To improve testers' efficiency, store, augment, share, or reuse test datasets. To reduce infrastructure requirements and increase performance, provision smaller data sets. Our comprehensive collection of masking techniques can be used to protect data across applications. To ensure solution integrity and speed deployments, support packaged applications. To align with data governance initiatives, engage risk, compliance, audit and other teams. Test efficiency can be improved with reliable, trusted production data sets. Server and storage footprints can be reduced with data sets that are targeted for each team.

Qlik Gold Client increases the efficiency, security, and cost of managing SAP test data. Qlik Gold Client eliminates development workarounds by allowing you to easily move configuration, master, or transactional data subsets into test environments. Rapidly create, copy and synchronize transactional information from production to nonproduction targets. Non-production data can be identified, selected, and deleted. A simple interface allows you to manage complex and powerful data transformations. Automate data selection and allow hands-free refresh cycles of test data, reducing the time and effort required for test data management. Qlik Gold Client offers several options to protect PII information in non-production environments through data masking. Data masking is a set of rules that "scrambles" your production data when it is replicated to non-production environments.

We can no longer rely upon real-life conversations as physical customer interactions shift to digital. Customers communicate their intentions and share their needs using data. Data is a key tool for understanding customers and testing our assumptions. Privacy regulations like GDPR and CCPA make deep understanding more difficult. This gap in customer understanding is bridged by the MOSTLY AI synthetic dataset platform. Businesses can benefit from a reliable, high-quality generator of synthetic data in many different applications. The story doesn't end there. MOSTLY AI's synthetic dataset platform is more versatile than any other synthetic data generator. MOSTLY AI's versatility makes it an indispensable tool for software development and testing. From AI training to explainability and bias mitigation, governance to realistic test data, with subsetting, referential integrity.

A self-service platform for synthetic data, with a focus on object and human data. The Datagen Platform gives you granular control over the data generation process. Analyzing your neural networks can help you understand what data is required to improve them. You can then easily generate the data that you need to train your network. Datagen is a powerful platform that can help you solve your problems. It allows you to generate high-quality, high-variety, domain-specific, simulated artificial data. Advanced capabilities include the ability to simulate dynamic people and objects within their context. Datagen gives CV teams unprecedented flexibility to control visual outcomes in a variety of 3D environments.

CSRNG stands to "Cryptographically Secure Random Number Generator". It says it all! CSRNG Lite is easy to use, well-documented, fast, and convenient. It provides you with a NIST certified random number generator that will provide random numbers for your applications. This can be used for cryptography, gambling apps, research, statistics and academics. To change the scope of our number generator, you can modify the query URL's min and max values. We offer a customizable API that you can subscribe to for more complex, live websites or custom needs. All professional features of CSRNG, plus the ability to store random number requests for later reference. Our query API returns results in exactly the same format as the random numbers generator API, so you can reuse stored data later. You can also request unique numbers within a specific scope. This is ideal for statisticians, survey companies, gambling websites and other statisticians.

As enterprise data explodes and is scattered across multiple systems, the oversight of privacy, data security and governance has become a very difficult task. Businesses are exposed to significant risks, including data breaches, privacy suits, and penalties. It takes months to find data privacy risks within an organization. A team of data engineers is involved in the effort. Data breaches and privacy legislation are forcing companies to better understand who has access to data and how it is used. Enterprise data is complex. Even if a team works for months to isolate data privacy risks, they may not be able to quickly find ways to reduce them.

Sixpack is an automated data management platform that streamlines synthetic data for testing. Sixpack, unlike traditional test data generation methods, provides an unlimited supply of synthetic data to help testers and automated testing avoid conflicts and resource bottlenecks. It focuses on flexibility, enabling data allocation, pooling and instant generation, while maintaining data quality and privacy. The key features are the ease of setup, seamless integration with APIs, and the support for complex test environments. Sixpack integrates directly into QA processes so that teams can save time managing data dependencies and minimize data overlap. Its dashboard provides a clear view into active data sets. Testers can also allocate or pool data based on project needs.