Talk to all your data, wherever it lives

2026-06-12 · Source: Databricks · Field: Technology & Digital — Data Science & Analytics, Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure · Depth: Intermediate, short

Summary

Databricks' Lakehouse Federation and Genie address the growing demand for cross-source reasoning in agentic AI by enabling natural language queries across an enterprise's entire data estate without requiring data migration. Lakehouse Federation connects directly to over 20 popular data platforms, including AWS Glue, Snowflake, Oracle, BigQuery, and Postgres, bringing them under a unified governance layer in Unity Catalog. This integration ensures consistent permissions, lineage, and access controls across all connected systems. Business users can then leverage Genie to ask questions in plain English, receiving instant insights that span multiple platforms. The system automatically syncs existing metadata like table descriptions and column comments from sources like Glue and BigQuery into Unity Catalog, and allows defining reusable business semantics, such as ROI calculations, directly on federated data.

Key takeaway

For MLOps Engineers or Data Architects struggling with data silos for AI applications, Databricks Lakehouse Federation offers a direct path to unified data access. You can integrate over 20 disparate data sources under Unity Catalog's governance, enabling natural language querying via Genie without complex migrations. This approach preserves existing metadata and allows consistent definition of business metrics, significantly reducing data preparation overhead for agentic AI workflows. Consider exploring its capabilities to streamline your data estate integration.

Key insights

Databricks Lakehouse Federation unifies disparate enterprise data for AI-driven natural language querying without migration.

Principles

• Centralized governance enhances security.
• Preserve existing metadata context.
• Define business logic once for consistency.

Method

Connect external sources to Unity Catalog, sync metadata, define reusable semantics (metrics), then query via natural language tools like Genie.

In practice

• Query marketing ROI across federated data.
• Use existing Glue/BigQuery comments.
• Convert foreign tables to managed for performance.

Topics

• Lakehouse Federation
• Unity Catalog
• Databricks Genie
• Data Governance
• Cross-Source Reasoning
• Natural Language Querying

Best for: Data Engineer, MLOps Engineer, Data Analyst

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Editorial summary, takeaway, and curation by AIssential. Original article published by Databricks.