SQLFlow

SQLFlow empowers data engineers, architects, and governance teams with clear, accurate SQL data lineage - automatically. It ingests SQL from wherever it lives - databases, file systems, GitHub, Bitbucket, and more - then generates intuitive, graphical lineage maps showing exactly how data flows from source to target, table to table, and column to column.

Instead of spending hours manually cross-referencing SQL scripts, teams get an always-current, visual map of their entire data estate with no agents or connectors required.

SQLFlow Cloud (SaaS):

1. Subscribe through AWS Marketplace
2. Connect your SQL source via the REST API or upload SQL files
3. View your first lineage visualization within minutes - no infrastructure to manage

SQLFlow On-Premise:

1. Deploy within your own infrastructure for full data sovereignty
2. Configure database connections or point to your file system and repositories
3. Access lineage maps through the built-in graphical interface

Integration options: Embed lineage into existing CI/CD pipelines and data platforms using the SQLFlow REST API or Java Library - no pipeline disruption required.

• Automated lineage extraction from SQL in databases, file systems, GitHub, and Bitbucket - no manual mapping
• 20+ supported databases: Amazon Athena, Amazon Redshift, Google BigQuery, Snowflake, Oracle, PostgreSQL, Microsoft SQL Server, MySQL, IBM DB2, SAP HANA, Apache Hive, Teradata, Vertica, Netezza, Greenplum, Couchbase, Informix, Sybase, Progress OpenEdge, and more
• Granular lineage: drill down to table-level, column-level, and query-level lineage for full impact analysis
• Intuitive graphical visualization: see data movement across your entire pipeline at a glance
• Flexible deployment: SQLFlow Cloud for SaaS convenience or SQLFlow On-Premise for data sovereignty
• Seamless integration: REST API and Java Library for embedding lineage directly into workflows

A financial services governance team managing reporting pipelines across Oracle and SQL Server can use SQLFlow to map column-level lineage end-to-end. When auditors request proof of data provenance for SOX reporting, the team exports a complete lineage visualization showing every transformation from source tables to final reports - replacing weeks of manual documentation with an always-current map.

A healthcare data engineering team running Snowflake-to-Redshift pipelines can trace sensitive patient data flows across systems. SQLFlow's column-level lineage enables the team to identify exactly which downstream reports are affected when a source schema changes - supporting HIPAA audit readiness and reducing root-cause analysis time.

• Visualize end-to-end data flows to satisfy GDPR, CCPA, SOX, and HIPAA audit requirements
• Trace reporting errors back to their source with column-level drill-down for root cause analysis
• Enable proactive impact analysis before schema changes reach production

SQLFlow supports Amazon Athena, Amazon Redshift, and other AWS data services natively. Connect your AWS data sources via the REST API to generate lineage maps that span your entire AWS analytics environment.

To see SQLFlow in action with your own SQL, request a guided demo or sample lineage report. Visit the Gudu SQLFlow documentation for REST API references and integration guides.