Overview
GSP (General SQL Parser) is a commercial SQL parser and semantic analysis SDK that transforms raw SQL into structured, actionable intelligence for enterprise applications.
Built as a Java-native SDK with deterministic, offline-ready parsing, GSP enables software vendors, data platform builders, governance teams, and AI application developers to embed rich SQL understanding directly into their products - without sending SQL to an external cloud service.
Core Capabilities:
- Parse SQL into Rich ASTs: embed deterministic parsing in Java applications and developer tools. GSP generates full Abstract Syntax Trees (ASTs) that expose every clause, expression, alias, and statement boundary in the SQL.
- Validate SQL Before Execution: detect syntax and semantic issues before execution or migration. Catch errors early in IDEs, query editors, migration pipelines, and AI-generated SQL workflows.
- Resolve Tables and Columns: extract tables, columns, aliases, scopes, and full statement structure from any SQL statement across 30+ dialects.
- Extract Lineage: generate table-level and column-level lineage for governance workflows, data catalog integration, and impact analysis.
- Support 30+ Dialects: Oracle, SQL Server, IBM DB2, PostgreSQL, MySQL, Teradata, Snowflake, Databricks, Google BigQuery, Amazon Redshift, Apache Hive, Apache Spark SQL, and more.
- Run Locally/Online: evaluate and deploy inside private enterprise environments without sending SQL to a cloud parser - 100% private deployment supported.
Why Choose GSP:
- Broader Dialect Coverage: 30+ SQL dialects supported out of the box.
- Stable APIs: commercial-grade, versioned APIs built for long-term integration in production software.
- Private Deployment: 100% offline-capable - SQL never leaves the customer's environment.
- SQL Lineage: full table-level and column-level lineage via AST analysis.
- Vendor Support: dedicated commercial support from Logan Data.
- Validation Signals: pre-execution syntax and semantic validation for safe SQL workflows.
Use Cases:
- 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
Supported Platforms (30+): Oracle, Microsoft SQL Server, PostgreSQL, MySQL, IBM DB2, Teradata, Snowflake, Databricks, Google BigQuery, Amazon Redshift, Apache Hive, Apache Spark SQL, and more.
At a Glance: 30+ SQL Dialects | Java Native SDK | 100% Private Deployment | AST Full Lineage
Highlights
- Parse SQL into rich ASTs across 30+ dialects - deterministic, offline-ready. Embed Java-native SQL parsing in any enterprise application. No cloud dependency - runs 100% privately inside your environment.
- Extract table-level and column-level lineage from SQL. Generate governance-ready lineage for data catalogs, impact analysis tools, and compliance workflows - directly from parsed ASTs.
- Validate SQL before execution and catch syntax and semantic errors. Built for IDEs, migration tools, and AI-generated SQL guardrails - detect issues before they reach production.
Details
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You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
Enterprise | Team license includes 3 databases (Premium SLA mandatory) | $22,600.00 |
OEM | Premium SLA mandatory | $56,500.00 |
Premium SLA | Email support, next-business day response, version upgrades, bug fixes , plus 4-hour critical response, named technical contact, dedicated Teams or Slack channel, monthly office hours | $22,600.00 |
Vendor refund policy
Refund requests accepted within 3 weeks of purchase. Contact customer_support@logandata.com for refund requests.
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Please reach out to: customer_support@logandata.com
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