Referentially intact database subsets

Shrink PBs down to GBs without breaking referential integrity, to cut storage costs and maximize developer efficiency

Features

Create targeted test datasets using custom WHERE clauses or simple percentages to pull in just the data you need from across your database with our patented subsetter.
Subset + mask
Run subsetting and de-identification together to minimize your risk and your data footprint.
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Virtual foreign keys
Capture all the relationships in your database by easily adding foreign key constraints.
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Patented solution
Explore how Tonic traverses FK dependencies to build your subsets in a video overview of how it works.
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The value of database subsetting
Developer productivity

Enable developers to work more efficiently and effectively with targeted datasets shaped and sized to their needs.

Cost savings

Drastically reduce storage costs by minimizing your data footprint and eliminating duplicative databases.

Faster time-to-market

Rapidly deploy isolated datasets to eliminate the friction of shared resources and build faster.

Data minimization

Minimize the risk of data leaks and breaches by reducing your data footprint across developer laptops.

Global enablement

Unblock off-shore teams by equipping them with safe-to-share, targeted datasets that respect data localization laws.

Essential subsetting use cases

For local development
Hydrate your local laptop environments with referentially intact database subsets, to build and debug with ease.
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For off-shore teams
Equip your teams with quality test data wherever they work, subset and de-identified to ensure global compliance.
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Tonic integrates with every leading database

From relational data to data warehouses to document-based data in MongoDB, we’ve got you covered.
Image showing that Tonic Structural integrates with every leading database, including MySQL, PostgreSQL, SQL Server, MongoDB, and Oracle database
“Tonic’s subsetter does exactly what I want: it makes the data way smaller, and I won’t have to spend more on storage. It has reduced our costs by over 85%, by not having to use a full image of our database.”
Jesse Carver
Lead API Engineer
See it live.
Get a personalized tour of our patented database subsetter by connecting with our team.
Resources
Explore our guides on all things synthetic test data, from the various approaches of data masking to how to apply test data best practices in implementing test data management software.
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Data de-identification in the healthcare industry
Data de-identification
Data anonymization vs data masking: is there a difference?
Data de-identification
Static vs dynamic data masking
Data de-identification
De-identifying your unstructured data in Databricks with Tonic Textual
Tonic Textual how-tos

Build better and faster with quality test data today.

Unblock data access, turbocharge development, and respect data privacy as a human right.
Accelerate development with high-quality, privacy-respecting synthetic test data from Tonic.ai.Boost development speed and maintain data privacy with Tonic.ai's synthetic data solutions, ensuring secure and efficient test environments.