tools
Tonic Structural
Tonic Structural de-identifies structured and semi-structured data for development, testing, and QA while preserving relationships.
Tonic Structural detects sensitive data, applies masking or synthesis transformations, and creates realistic test datasets from existing production data. It preserves schemas, primary and foreign key relationships, and referential integrity across supported databases, warehouses, lakehouses, and files.
Developers, QA teams, data engineers, and regulated organizations use it for test environments, CI/CD pipelines, debugging, and scheduled data refreshes. It transforms existing data rather than generating entirely new datasets from scratch. Professional and Enterprise plans use custom pricing.
Features
- Automated PII and PHI discovery
- Custom sensitivity rules and recommended generators
- Masking and synthesis that preserve data relationships
- Referentially intact database subsetting
- Structural Agent for configuring generators with natural language
- Role-based access control, workspace sharing, and audit trails
- REST API, webhooks, and scheduled data generation
- Tonic Cloud or self-hosted deployment
Use cases
- Create realistic development and test environments
- Generate smaller datasets for local debugging
- Refresh test data through CI/CD pipelines
- Protect production data in regulated industries
- Provision isolated databases for developers
- Maintain consistent anonymized data across environments
Pros
Cons
Pricing
- Starting price
- Custom pricing
- Pricing checked
- 2026-09-19
Professional
Custom pricing
- Up to 10TB of source data
- Up to 10 users
- 2 data source types
- Unlimited workspaces, databases, and generated data
- Deployment via Tonic Cloud
- Authentication via Tonic Auth or Google SSO
Enterprise
Custom pricing
- Unlimited source data
- Unlimited users
- Unlimited data source types
- Unlimited workspaces, databases, and generated data
- Deployment via Tonic Cloud or self hosted
- RBAC
- Authentication via SSO/SAML