Join us for a live demo/Q&A of Tonic's latest feature releases.
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.
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?
Enable your developers, unblock your data scientists, and respect data privacy as a human right.