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Databricks SQL vs Databricks Lakebase

Databricks SQL: Serverless SQL warehouses on the Databricks lakehouse, powered by the Photon C++ engine. Databricks Lakebase: Databricks' serverless Postgres built on Neon tech, with branching and sync to Delta tables in Unity Catalog.

key differences

  • Databricks SQL is primarily a columnar / OLAP database; Databricks Lakebase is relational.
  • Databricks SQL is built for larger datasets (Multi-PB) than Databricks Lakebase (≤ 10 TB).
  • Horizontal scaling is native in Databricks SQL and none in Databricks Lakebase.
  • Only Databricks SQL has columnar storage, online schema changes, streaming ingest.
  • Only Databricks Lakebase has secondary indexes, full-text search, triggers, stored procedures, pub/sub.

choose databricks-sql for

  • +Lakehouse SQL and BI on Delta Lake
  • +Consolidating a separate warehouse into Databricks
  • +dbt transformations on the lakehouse
  • +Serving features and aggregates for ML

best at · Lakehouse, Warehouse, OLAP

choose lakebase for

  • +Backends for Databricks Apps and AI agents
  • +Online feature and embedding serving from lakehouse pipelines
  • +Operational stores whose data must land in Delta tables
  • +Reverse-ETL style serving of gold tables to applications

best at · OLTP, Feature store, Vector search

Databricks SQLServerless SQL warehouses on the Databricks lakehouse, powered by the Photon C++ engine.
Databricks LakebaseDatabricks' serverless Postgres built on Neon tech, with branching and sync to Delta tables in Unity Catalog.
overview
Primary model
Columnar / OLAP
Relational
Also supports
Relational, Document, Vector, Spatial
Document, Vector
Type
Managed service
Managed service
Status
Active
Active
Developer
Databricks
Databricks
First release
2020
2025
Latest version
–
–
License
ProprietaryProprietary
ProprietaryProprietary (Databricks service)
Free tier
✓
—
popularity
WhichDB Score
20.8
0.8
Rank
#147
#604
GitHub stars
–
–
Stack Overflow questions
543
–
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Medium (≤ 10 TB)
Horizontal scaling
Native
None
Multi-region
None
None
ACID
Full
Full
Consistency
Strong
Strong
Schema
Flexible
Strict
Architecture
Serverless, Distributed, Shared storage
Serverless, Shared storage, Primary replica
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
✓
✓
Embedded
—
—
Edge
—
—
Clouds
AWS, Azure, Google Cloud
AWS, Azure
capabilities
Transactions
✓
✓
Joins
✓
✓
Secondary indexes
—
✓
Full-text search
—
✓
Vector search
✓
✓
Geospatial
✓
✓
JSON
✓
✓
Change data capture
✓
✓
Triggers
—
✓
Stored procedures
—
✓
Materialized views
✓
✓
TTL / expiry
—
—
Pub/Sub
—
✓
Columnar storage
✓
—
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
✓
✓
Role-based access
✓
✓
Time travel
✓
✓
Branching
—
✓
Online schema changes
✓
—
Streaming ingest
✓
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
SQL (Databricks SQL / ANSI), Python
SQL, PL/pgSQL
Client languages
Python, Java, JavaScript, Go, .NET
Python, Java, Go, JavaScript, Scala
Best for
Lakehouse, Warehouse, OLAP
OLTP, Feature store, Vector search, RAG
Add more to this comparisonNot sure either fits? Try smart match

Databricks SQL vs Databricks Lakebase: FAQ

What is the difference between Databricks SQL and Databricks Lakebase?

Databricks SQL: Serverless SQL warehouses on the Databricks lakehouse, powered by the Photon C++ engine. Databricks Lakebase: Databricks' serverless Postgres built on Neon tech, with branching and sync to Delta tables in Unity Catalog. Databricks SQL is primarily a columnar / OLAP database; Databricks Lakebase is relational. Databricks SQL is built for larger datasets (Multi-PB) than Databricks Lakebase (≤ 10 TB). Horizontal scaling is native in Databricks SQL and none in Databricks Lakebase.

When should I choose Databricks SQL over Databricks Lakebase?

Choose Databricks SQL for lakehouse SQL and BI on Delta Lake; consolidating a separate warehouse into Databricks; and dbt transformations on the lakehouse. Choose Databricks Lakebase for backends for Databricks Apps and AI agents; online feature and embedding serving from lakehouse pipelines; and operational stores whose data must land in Delta tables.

Is Databricks SQL or Databricks Lakebase more popular?

Databricks SQL ranks #147 on the WhichDB Score (20.8/100) and Databricks Lakebase ranks #604 (0.8/100). Popularity is not fit: check the requirements that matter for your project.

Are Databricks SQL and Databricks Lakebase open source?

No. Databricks SQL is proprietary, closed-source software. No. Databricks Lakebase is proprietary, closed-source software.