Parse SQL into AST
Embed deterministic parsing in Java applications and developer tools.
General SQL Parser · GSP Java 4.1.x evaluation
Commercial Java SQL Parser and Semantic Analysis SDK
Parse, validate, analyze lineage, and govern SQL across 30+ database dialects — offline, deterministic, and ready for enterprise Java applications and AI-generated SQL workflows.
30+
SQL Dialects
Java
Native SDK
Offline
Private Deploy
AST
Full Lineage
Short answer: General SQL Parser (GSP) is a commercial SQL parsing and semantic analysis SDK for teams that need reliable ASTs, table/column extraction, validation, and lineage in enterprise Java products.
What GSP does
From raw SQL text to semantic signals your product can use
Resolve tables and columns
Extract tables, columns, aliases, scopes, and statement structure.
Validate SQL
Detect syntax and semantic issues before execution or migration.
Extract lineage
Generate table-level and column-level lineage for governance workflows.
Support enterprise dialects
Handle Oracle, SQL Server, PostgreSQL, MySQL, DB2, Teradata, Snowflake, BigQuery, Spark SQL, and more.
Run locally/offline
Evaluate and deploy inside private enterprise environments without sending SQL to a cloud parser.
Why not just open source?
Open-source parsers are useful. Enterprise edge cases need a support path.
- JSqlParser, sqlglot, Calcite, and ANTLR grammars can be good fits for prototypes or narrow syntax needs.
- GSP is designed for commercial Java teams that need broad dialect coverage, stable APIs, and private deployment.
- SQL lineage, validation signals, and vendor support when real customer SQL breaks the happy path.
Use cases
Built for SQL-aware enterprise products
- Database IDEs, SQL editors, and formatters
- Data lineage and impact analysis
- SQL migration and modernization tools
- AI-generated SQL validation and guardrails
- Field-level permission checks
- Audit and compliance workflows
Dialect coverage
Coverage for the SQL your customers actually use
OracleSQL ServerPostgreSQLMySQLDB2TeradataSnowflakeBigQueryDatabricksRedshiftHiveSpark SQL
Have a stored procedure, migration script, dynamic SQL block, or generated query that is hard to parse? Send a sample for review.
Evaluation path
Send a difficult SQL sample before you commit to a trial
Gudu can review parser compatibility, unsupported syntax risks, candidate AST/table/column/lineage outputs, and the recommended Java integration path.