Compare the Top Test Data Management Tools that integrate with Apache Spark as of December 2025

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

What are Test Data Management Tools for Apache Spark?

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 Apache Spark currently available using the table below. This list is updated regularly.

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    Tonic

    Tonic

    Tonic

    Tonic automatically creates mock data that preserves key characteristics of secure datasets so that developers, data scientists, and salespeople can work conveniently without breaching privacy. Tonic mimics your production data to create de-identified, realistic, and safe data for your test environments. With Tonic, your data is modeled from your production data to help you tell an identical story in your testing environments. Safe, useful data created to mimic your real-world data, at scale. Generate data that looks, acts, and feels just like your production data and safely share it across teams, businesses, and international borders. PII/PHI identification, obfuscation, and transformation. Proactively protect your sensitive data with automatic scanning, alerts, de-identification, and mathematical guarantees of data privacy. Advanced sub setting across diverse database types. Collaboration, compliance, and data workflows — perfectly automated.
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