Delphix vs Tonic: Which is the better choice?

With its modern UI, full API, and native database connectors, Tonic provides rapid time-to-value through streamlined workflows built for today’s developers. Onboarding is far easier with Tonic than with Delphix, enabling teams to get the data they need in days rather than months.

While Delphix runs into performance issues when processing large datasets, Tonic is architected to match the scale and speed of data warehouses like Snowflake and Databricks. Tonic users regularly process PBs of data using complex de-identification configurations.

Tonic’s focus has always been on making data useful, not just masked. With capabilities like cross-database consistency, column linking, and complex generators for JSON and regex data, the platform maintains the underlying business logic in your test data so your test suites work.

Tonic’s patented subsetter works across your database, not just one table at a time, to shrink PBs down to GBs while preserving referential integrity across tables. Create targeted datasets using custom WHERE clauses or simple percentages to pull just the data you need.