Built for Data That Doesn’t Stand Alone: Relational Synthetic Data Pipelines
Enterprise data rarely lives in a single isolated table. Modern architectures rely on webbed networks of relational schemas, foreign keys, and multi-table dependencies. SynthoLogic analyzes connected database architectures, detects underlying statistical dependencies, and generates multi-table synthetic databases while maintaining 100% referential integrity.
The Relational Breakdown in Legacy Data Masking
- Orphaned Records: Standard synthetic generators process tables in isolation, creating child records with foreign keys that no longer map to parent IDs.
- Lost Cross-Table Correlations: Single-table tools destroy conditional logic across entities—such as linking customer credit scores in Table A to transaction limits in Table B.
- Broken Constraints: Legacy obfuscation fails on unique constraints, composite primary keys, and cascading deletion rules, breaking downstream application testing.
Single-Table Tools vs. SynthoLogic Relational Engine
| Capability | Single-Table Synthetic Generators | SynthoLogic Relational Engine |
|---|---|---|
| Referential Integrity | Breaks primary-foreign key relationships | Guarantees mathematically valid foreign key constraints |
| Cross-Table Logic | Evaluates each file/CSV independently | Models joint probabilities across multi-table schemas |
| Schema Support | Limited to flat CSV export files | Native support for PostgreSQL, MySQL, Snowflake & SQL Server |
| Volume Scaling | Fixed row count multiplication | Scales parent and child record ratios independently for load testing |
Core Relational Capabilities
Multi-Table Copula Engine
Learns and replicates complex joint probability distributions across parent-child schemas without storing sensitive production IDs.
Automated Schema Parsing
Automatically extracts entity-relationship diagrams (ERDs), indexes, primary keys, and foreign key constraints directly from your database connection.
Differential Privacy for RDBMS
Applies mathematical ε-differential privacy bounds across connected tables, preventing cross-table linkage and re-identification attacks.
Custom Ratio Generation
Simulate growth by expanding child table volumes (e.g., transactions per user) while holding master parent tables static.
Native Enterprise Database Integration
Connect SynthoLogic directly to staging environments or VPC data warehouses. Connectors stream synthetic data straight into target schemas without intermediate flat files, preserving database triggers and indices automatically.
Synthesize Your Complex Database Schemas
Test SynthoLogic on your multi-table relational schema. Evaluate referential integrity guarantees and cross-table correlation scores in a live enterprise demo.
Request Relational Engine Demo