Zero-config foreign keys
Auto-introspects DatabaseMetaData, builds the FK dependency graph, and
topologically orders the fill — parents before children, no configuration.
Zero-config foreign keys
Auto-introspects DatabaseMetaData, builds the FK dependency graph, and
topologically orders the fill — parents before children, no configuration.
Privacy-safe by construction
Generated purely from schema and type. Production data is never read, so the GDPR/CCPA exposure surface is structurally minimal.
Deterministic by seed
The same seed and schema produce byte-identical data on every run — even under parallel and partitioned fills.
CI-native, dependency-free core
No cloud account, no Python/GPU runtime, no per-row pricing — just a library on your classpath, with first-class JUnit 5 and Testcontainers integrations.
Multi-database
PostgreSQL, MySQL, and CockroachDB today, with an extensible architecture for more — actively maintained and released.
Flat files too
Export generated data to CSV, TSV, and pipe-delimited files with full control over every column.
Bloviate is an open-source, JDBC-native filler — it manufactures relational data from a schema. That’s a different job from the ML/privacy synthesizers (which learn from real data and are non-deterministic) and from masking/subsetting tools (which operate on existing production data). Among its peers, Bloviate is the maintained, deterministic, auto-FK option.
Realistic semantic values (emails, names, addresses), correlated columns, and CHECK/enum
conformance are all supported — as opt-in features layered on the fast, type-driven default rather
than replacing it.
How Bloviate actually works, and how fast it runs — the deep technical material behind the library.
The complete Javadoc for every public package is hosted right here — themed to match these docs, with its own per-class search.