Reverse ETL with Lakebase — Databricks AWS Documentation (2026)

Databricks' official documentation on using Lakebase for reverse ETL — making curated lakehouse data available to operational apps, dashboards, and CRM systems without custom pipelines.

Key facts surfaced (2026-05-06, via search):

• Lakebase: Fully-managed Postgres database synced directly from Databricks gold-layer tables. Eliminates custom ETL pipelines for operational data serving.
• Performance: Sub-10 ms query latency; supports up to 1,000 concurrent connections with transactional guarantees (inserts, updates, deletes).
• Use cases: Personalization engines needing fresh user profiles, ML prediction serving, customer-facing KPI dashboards, fraud detection with real-time risk scores.
• Architecture: Syncs gold-layer (curated) data into Lakebase Postgres for low-latency reads, while the lakehouse remains the source of truth for batch analytics and ML training.

Relationship to existing KG nodes:

• Supplements source.databricks-com.blog-reverse-etl-lakebase-activate-your-lakehouse-data-operational-analytics-2026.
• Supports vendor.databricks body claim about activation capabilities.
• Relevant to BigQuery activation patterns queue topic (Databricks parallel to BQ's reverse ETL options).