Manufacturer / project: Tonic.ai
When does it fit?
Consider it when your team needs smaller copies of existing application databases, with sensitive fields transformed and the required relationships preserved. 1 · 2
Fit still depends on your mandatory requirements.
What should you check before choosing?
It works from existing source data; use a from-scratch generator when the target schema has no representative source records. Connector support for subsetting varies. Oracle collection columns (nested tables and VARRAYs) are set to NULL, with a job warning, according to v1876 release notes. Verify these types and your exact version before replacing a production-copy workflow. With skip-create-db enabled, v1892 fixes a SQL Server preparation failure involving temporal tables and schema-bound views; check your release. 1 · 2 · 3 · 4 · 5
What must your PoC prove?
Subset existing customer, account and transaction data, including an invalid reference. Check sensitive fields, missing parents, connector limits and version-specific warnings.
Acceptance plan, not a product test result. Execution scope and limits.
Deployment and license
Self-hosted deployment in your own environment is documented for customers or formal evaluations. Confirm the required infrastructure, release and license; hosted trial terms are separate. 1 · 2 · 3 · 4 · 5
Current public pricing and licensing terms were not established from the reviewed product documentation; contact Tonic for a quote. 1 · 2 · 3 · 4 · 5
Confirm the entitled version and operating requirements.
How you work with it
Connect source and destination data, configure field generators and subset filters, then run a generation job. Review related rows and transformed values. 1 · 2
Export does not establish compatibility with another runtime.
Documented capabilities
Documentation is not a measured benchmark. Unclear is missing evidence; the comparison matrix explains the gap.
Sources and scope
Sources can cover different releases; they do not establish measured performance.
Open the cited sources (5)
- Tonic Structural | Test Data Management & Data Masking
Product positioning, masking techniques, and the distinction from from-scratch generation.
Source checked: 2026-10-01 - About subsetting | Tonic Structural documentation
Structural subsetting uses configured filters on target tables to form a related subset.
Source checked: 2026-10-11 - Table filtering for data warehouses and Spark-based data connectors
Some Structural connectors do not support subsetting, so avoid universal connector claims.
Source checked: 2026-10-11 - Structural release notes: v1876–v1892
v1876 Oracle collection handling and parent-row fix; v1892 SQL Server temporal tables with schema-bound views fix when skip-create-db is enabled. Verify actual version and configuration.
Source checked: 2026-10-29 - Self-hosted Structural deployment
Self-hosted deployment available to purchased customers or formal evaluations; entitlement and infrastructure checklist required.
Source checked: 2026-10-11