Gretel Relational

Synthesize and transform multiple tables or entire relational databases with
generative AI, perfectly preserving relationships across tables.
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Why Gretel Relational?

Relational databases are a cornerstone of enterprise data management. Gretel Relational enables developers to operationalize relational data by ensuring referential integrity, accuracy, and privacy.
  • Connect

    Connect to your enterprise database with 30+ connectors.

  • Transform

    Detect and transform sensitive entities.

  • Synthesize

    Create synthetic versions of your data.

  • Subset

    Generate synthetic subsets that always beat random sampling.

  • Validate

    Ensure referential integrity, accuracy, and privacy.

Connect

Connect to your enterprise database.

No more complex data pipelining. Use Gretel to easily connect to any normalized SQL database and write back high-quality synthetic data to the environment of your choice.

And, with automatic key detection, Gretel magically detects primary and foreign key pairs, giving you more time for coffee.

Transform

Detect and transform sensitive entities.

Say goodbye to manual data transformations. With Gretel, you can effortlessly extract sensitive columns and apply a range of transformations at scale, such as masking, hashing, tokenization, or even replacement.

Establish your organizational policies to be enforced across tables, then let Gretel's advanced models handle the rest.

Read more about Gretel Transforms
Synthesize

Create synthetic versions of your data.

Your enterprise databases are built on objects and relationships that define your business. With Gretel, you can generate top-notch synthetic versions of your data while maintaining the referential integrity of your original records.

Take advantage of our expanding collection of generative models to create synthetic data that's just as good, if not better, than the real thing.

Subset

Generate synthetic subsets of your data.

Shrink from petabytes to gigabytes with anonymized data that looks and feels like production dataā€”all without risking privacy. Donā€™t take chances with random sampling, synthetics lets you accurately subset your data so you can innovate with confidence and speed.

Validate

Ensure referential integrity, accuracy, and privacy.

To use data, you need to trust it. Verify synthetic data quality with our unique accuracy and privacy scores developed especially for relational data. Measure how well in-table and cross-table relationships are maintained with consumable reports. Build ambitiously, knowing your data is accurate and secure.

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