Join us for a live demo of Tonic's latest feature releases.
Join us for a live demo/Q&A of Tonic's latest feature releases.
Native support for more databases
Tonic has expanded its list of integrations to include DB2, BigQuery, Databricks, and Spark on Amazon EMR, further enabling you to operationalize our technology in a multi-database environment. Not only does Tonic integrate with roughly a dozen databases now, it allows you to work across them, regardless of the type, to best reflect real-world data landscapes and maintain consistency between input and output when needed.
The database-agnostic nature of Tonic and the ability to connect directly to your database, as opposed to a data-upload approach, are two of our key differentiators as compared to other tools currently available.
Advancing our market-leading subsetting capabilities
Our subsetter now features a Full Algorithm approach to better capture the nuances of your subset targets across your database. It’s worth noting that our subsetter is fully integrated within our data generation platform; it isn’t a separate product or add-on. We’ve purposefully designed subsetting and data de-identification to work side-by-side in Tonic so that they take place in the same job. Why?
- It reduces costs by eliminating the need for an additional output database
- It increases performance by avoiding the need to run 2 separate jobs in series
- And it lowers maintenance overhead associated with separate tools and extra steps that can break the process
What else is new?
- Format-preserving encryption to enable integrating encryption into existing applications
- A new Foreign Key tool that allows you to view and add FK relationships across your DB
- More out-of-the-box generators (including HIPAA Address, Date Shift, and UUID Key generators, as well as expanded linking capabilities)
- Differential privacy for our Continuous generator
- Commenting, undo/redo, and job warnings for a richer user workflow