GARTNER® MARKET RESEARCH
Synthetic Data Generation Tools
Learn from analyst firm Gartner about synthetic data generation methods, best practices, strategies, and tools, and how to apply them to various use cases, such as software testing and generative AI / ML model training.
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Learn from the experts:
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Data augmentation techniques for tabular data
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Synthetic data generation use cases, methods and techniques
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Top synthetic data generation tools: K2view, Gretel, Mostly AI, Tonic.ai, IBM, Genrocket, Informatica, and more
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When to use synthetic data generation to solve specific test data management challenges,
Vital Market Research and Analysis
"Organizations developing net new software capabilities or restricted from using production data for testing and analytics struggle or are unable to run the complete set of validations in the lower development and testing environments. Avoid problems associated with using production data in development and testing environments by employing synthetic data generation technologies."
