Compare the Top Test Data Management Tools that integrate with IBM Db2 as of June 2025

This a list of Test Data Management tools that integrate with IBM Db2. Use the filters on the left to add additional filters for products that have integrations with IBM Db2. View the products that work with IBM Db2 in the table below.

What are Test Data Management Tools for IBM Db2?

Test data management tools enable IT professionals and developers to create non-production test data that simulates real company data in order to reliably test applications and systems with data that's similar to production data. Compare and read user reviews of the best Test Data Management tools for IBM Db2 currently available using the table below. This list is updated regularly.

  • 1
    IRI RowGen

    IRI RowGen

    IRI, The CoSort Company

    Stop relying on confidential production data. Masked data may not be realistic or robust enough either. IRI RowGen uses your metadata and business rules to make better test data. Persistent or virtual test sets improve DB/ETL prototypes and speed DevOps. Use the high quality, high volume database, file, report or DataVault targets you create and populate with RowGen's graphical job wizards in in the IRI Workbench IDE (built on Eclipse) to stress-test and future-proof new software and systems. RowGen lets you customize data formats, volumes, ranges, distributions, and other properties on the fly or with re-usable rules that support major goals like application testing and subsetting. RowGen uses the IRI CoSort engine to deliver the fastest generation, transformation, and bulk-load movement of big test data on the market. You can also leverage RowGen functionality in CI/CD pipelines like GitLab, cloned DBs via Windocks et al, and purpose-built TDM hubs from Cigniti or ValueLabs.
    Starting Price: $8000 on first hostname
  • 2
    DATPROF

    DATPROF

    DATPROF

    Test Data Management solutions like data masking, synthetic data generation, data subsetting, data discovery, database virtualization, data automation are our core business. We see and understand the struggles of software development teams with test data. Personally Identifiable Information? Too large environments? Long waiting times for a test data refresh? We envision to solve these issues: - Obfuscating, generating or masking databases and flat files; - Extracting or filtering specific data content with data subsetting; - Discovering, profiling and analysing solutions for understanding your test data, - Automating, integrating and orchestrating test data provisioning into your CI/CD pipelines and - Cloning, snapshotting and timetraveling throug your test data with database virtualization. We improve and innovate our test data software with the latest technologies every single day to support medium to large size organizations in their Test Data Management.
  • 3
    EMS Data Generator for MySQL

    EMS Data Generator for MySQL

    EMS Software Development

    EMS Data Generator for MySQL is an impressive tool for generating test data to MySQL database tables with the possibility to save and edit scripts. The utility can help you to simulate the database production environment and allows you to populate several MySQL database tables with test data simultaneously, define tables and fields for generating data, set value ranges, generate MySQL char fields by mask, define lists of values manually or select them from SQL queries, set generation parameters for each field type and has many other features to generate MySQL test data in a simple and direct way. Data Generator for MySQL also provides a console application, which allows you to generate MySQL test data in one-touch by using generation templates.
    Starting Price: $60 per year
  • 4
    Delphix

    Delphix

    Perforce

    Delphix is the industry leader in DataOps and provides an intelligent data platform that accelerates digital transformation for leading companies around the world. The Delphix DataOps Platform supports a broad spectrum of systems, from mainframes to Oracle databases, ERP applications, and Kubernetes containers. Delphix supports a comprehensive range of data operations to enable modern CI/CD workflows and automates data compliance for privacy regulations, including GDPR, CCPA, and the New York Privacy Act. In addition, Delphix helps companies sync data from private to public clouds, accelerating cloud migrations, customer experience transformation, and the adoption of disruptive AI technologies. Automate data for fast, quality software releases, cloud adoption, and legacy modernization. Source data from mainframe to cloud-native apps across SaaS, private, and public clouds.
  • 5
    BMC Compuware Topaz for Enterprise Data
    Visualize vast quantities of data objects, understand their relationships, and tune related data extracts to create optimal test data. Compare files, including those that exist on different LPARs, expanding the ability to quickly and frequently assess the impact of your changes. Simplify the complex task of managing data and preparing data for testing by enabling developers and test engineers to perform data-related tasks without writing programs or scripts, coding SQL, or using multiple utilities. Enable developers, test engineers, and analysts to be more self-sufficient by provisioning data when needed, reducing reliance on subject matter experts. Improve application quality with better testing scenarios, simplifying the task of creating complete data extracts for testing purposes, and accurately identifying the impact of changing pieces of data.
  • 6
    DTM Data Generator

    DTM Data Generator

    DTM Data Generator

    Fast test data generation engine with about 70 built-in functions and expression processor enables users to define complex test data with dependencies, internal structure, and relationships. The product analyzes existing database schema and resolves master-detail key structure (relationships) automatically. Value Library is a predefined data sets: names, countries, cities, streets, currencies, companies, industries, departments, regions, etc. Variables and Named Generators features provide a way to share data generation properties to similar columns. Intelligent schema analyzer makes your data realistic without extra project modifications and "data by example" feature makes data more realistic without extra efforts.
  • 7
    Syntho

    Syntho

    Syntho

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