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Tonic Structural review

#5 of 25 in Test Data Management SoftwareData Masking Software

A privacy-focused TDM platform for realistic, relationship-preserving test datasets.

8.8/10Editor score
Tonic Structural8.8 Try Tonic Structural

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Tonic Structural is a test data management platform for software development, QA, and regulated organizations. It transforms structured and semi-structured production data into safe, realistic datasets while preserving relationships and referential integrity. Its feature set covers PII and PHI discovery, masking, synthesis, database subsetting, scheduled refreshes, privacy reports, audit trails, workspace sharing, and role-based access control. It fits teams that need repeatable test-data workflows alongside privacy controls and collaboration.

The published plans show two paid tiers, both with contact-sales pricing. Professional supports up to 10TB, up to 10 users, and two data source types, with unlimited workspaces, databases, and generated data. It runs on Tonic Cloud and supports Tonic Auth or Google SSO. Enterprise expands those limits to unlimited users, data source types, workspaces, databases, and generated data. It also adds a choice between Tonic Cloud and self-hosted deployment, along with RBAC and SSO/SAML. Teams comparing the tiers should focus on scale, identity requirements, and deployment control rather than a published price difference.

Structural’s ecosystem includes relational, NoSQL, warehouse, lakehouse, and file connectors, including PostgreSQL, Oracle, Salesforce, IBM Db2, Amazon Redshift, Snowflake, Databricks, MySQL, SQL Server, MongoDB, Google BigQuery, and Amazon S3. A REST API supports Structural tasks, while scheduled generation and refreshes support recurring workflows. Privacy reports and protection audit trails add governance visibility. Choose Structural when broad platform connectivity, privacy-focused controls, and hybrid deployment matter. Organizations seeking a free plan or transparent numeric pricing should consider alternatives with those purchasing options.

Tonic Structural pros and cons

  • Where it wins
    • Automated PII and PHI discovery with masking and synthesis
    • Referential-integrity-preserving subsetting and scheduled refreshes
    • Cloud or self-hosted deployment with APIs and audit trails
  • Where it doesn't
    • No free plan for evaluating the platform
    • Pricing requires contacting sales
    • Professional limits users and data source types

Tonic Structural fact sheet, pricing and score →

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