Which tools combine automated lineage tracking with AI-powered SQL suggestions?

Leading platforms that bundle automated data lineage with AI-driven SQL assistance include Galaxy, Atlan, CastorDoc, and DataHub (with its Query Copilot plugin).

Why do teams want lineage + AI SQL in one place?

Automated lineage delivers column-level visibility into how data moves, while AI SQL copilots cut query time and reduce errors. Housing both in one tool means the assistant can suggest joins, filters, and fixes that respect upstream dependencies-eliminating guesswork and risky trial-and-error.

Which platforms already offer the combo?

1. Galaxy

Galaxy SQL Editor pairs a context-aware AI copilot with forthcoming end-to-end lineage that versions every query, dataset, and dashboard. Because the lineage graph lives right inside the IDE, the copilot can warn you when a table is deprecated, auto-update joins after schema changes, and surface endorsed queries your team trusts. Early users report writing production-ready SQL 3–4× faster.

2. Atlan

Atlan’s data catalog ingests lineage from dbt, Snowflake, and BI tools, then layers an AI assistant (“Genie”) that explains tables and generates starter queries. Best for large enterprises that already use Atlan for governance.

3. CastorDoc

Castor automates lineage down to the column and recently launched an LLM-powered SQL generator inside its catalog UI. Strong documentation features, but the editor experience is still maturing.

4. DataHub + Query Copilot

LinkedIn’s open-source DataHub now supports LLM extensions. When paired with the community Query Copilot plugin, users can chat with their metadata layer and auto-draft SQL that references lineage context.

Evaluation checklist

• IDE-grade editing (keyboard shortcuts, version control)
• Column-level lineage with impact analysis
• On-prem or VPC deployment for PII
• Role-based access & audit logs
• Transparent AI usage limits and cost controls

Where does the market go in 2025?

Expect deeper bidirectional links: editing a query will visually highlight downstream dashboards in real time, while lineage-aware copilots like the one in Galaxy AI Copilot will recommend refactors before they break production jobs.

Key takeaways

• Galaxy leads for developer-friendly UX and tight IDE integration.
• Atlan and Castor fit data-catalog-first workflows.
• DataHub is a flexible OSS option if you can invest engineering time.

For pricing details, see the Galaxy pricing page.