tonic overview
Tonic mimics your production data to create safe, realistic, and de-identified data for QA, testing, and analysis.
INTRODUCING TONIC
Generate data that looks, acts, and feels just like your production data and safely share it across teams, businesses, and international borders.
Proactively protect sensitive data with automatic scanning, alerts, de-identification, and mathematical guarantees of data privacy.
Go big or go small — generate referentially intact subsets of your entire data ecosystem sized to your needs, environments, and simulations.
Streamline your workflows to maximize productivity with seamless integrations, collaboration tools, and access controls.
Generate data that looks, acts, and feels just like your production data and safely share it across teams, businesses, and international borders.
Choose from dozens of string and data types to build a model of and mimic your data. Create data that looks, acts, and feels just like your production data.
Generate primary and foreign keys that reflect the distribution between tables in your source database.
Match the same input to the same output across an entire data ecosystem to preserve the cardinality of a column, match duplicate data across databases, or fully anonymize a field and still use it in a join.
Synthesize across tables while linking related columns to preserve your data’s complexity, utility, and privacy.
Run generations as often as you need, even several times a day so that your data never breaks or gets outdated.
Proactively protect your sensitive data with automatic scanning, alerts, de-identification, and mathematical guarantees of data privacy.
Rapidly deploy Tonic on-premise using docker containers, with zero outside connection. Keep your data at its source, and use Tonic with zero risk from outside threats.
Eliminate hours of manual work by automatically locating and de-identifying sensitive information (PII/PHI) throughout a database.
Receive alerts when changes to your source schema occur, to proactively keep sensitive production data from leaking into lower environments.
Reduce exposure and minimize risk by truncating unnecessary tables to remove them from the data generation process.
Transform data securely with built-in mathematical guarantees against re-identification.
Go big or go small — generate referentially intact subsets of your entire data ecosystem sized to your needs, environments, and simulations.
Create a coherent slice across all your databases that preserves referential integrity while shrinking petabytes of data down to a size that is manageable and easy to share.
Fine-tune the records to be included in your subset with custom WHERE clauses or percentages, and get precisely the data you need for testing, QA, bug reproduction, or scenario simulations.
Target as many tables as you need for your seed data to create a highly accurate subset tailored to your needs.
Generate primary and foreign keys that reflect your source tables to replicate the complexity, critical structures, and relationships in your data.
Scale your data up or down to any size. Get a small sampling of data, or simulate data burst scenarios.
ENTERPRISE
Deploy 100% on-prem to keep your data at its source and monitor each step with audit trails.
Work with any major database using our universal connectors and integrations.
Access Tonic’s capabilities and build custom solutions that fit your workflows.
Automatically detect schema changes to proactively keep sensitive production data from leaking into lower environments.
Sign Sign-On integration so that you can fit within existing enterprise SSO controls.
Share workspaces and leave comments to streamline teamwork and standardize best practices.
Define owners, editors, auditors, or viewers, and prevent users from viewing your source data.
Monitor user activity logs to track every step of your data's use for compliance and security.
