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Databricks SQL vs Sail

Databricks SQL: Serverless SQL warehouses on the Databricks lakehouse, powered by the Photon C++ engine. Sail: Rust-native, Spark Connect-compatible engine for SQL, DataFrame and streaming jobs without the JVM.

key differences

  • Databricks SQL is primarily a columnar / OLAP database; Sail is relational.
  • Licensing: Databricks SQL is proprietary (Proprietary); Sail is open source (permissive) (Apache License 2.0).
  • Databricks SQL is built for larger datasets (Multi-PB) than Sail (≤ 1 PB).
  • Transactions: Databricks SQL offers full ACID; Sail offers limited.
  • Only Databricks SQL has transactions, vector search, geospatial, change data capture, materialized views.
  • Only Sail has in-memory.
  • Databricks SQL has a serverless option; Sail does not.

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 sail for

  • +Cutting cost of PySpark ETL
  • +Local Spark development without a JVM
  • +Lakehouse batch jobs on Delta/Iceberg

best at · Lakehouse, OLAP, Streaming

Databricks SQLServerless SQL warehouses on the Databricks lakehouse, powered by the Photon C++ engine.
SailRust-native, Spark Connect-compatible engine for SQL, DataFrame and streaming jobs without the JVM.
overview
Primary model
Columnar / OLAP
Relational
Also supports
Relational, Document, Vector, Spatial
Columnar / OLAP
Type
Managed service
Database engine
Status
Active
Active
Developer
Databricks
LakeSail
First release
2020
2024
Latest version
–
0.7.2 (Sep 29, 2026)
License
ProprietaryProprietary
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
20.8
14.5
Rank
#147
#231
GitHub stars
–
3.5K
Stack Overflow questions
543
–
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Full
Limited
Consistency
Strong
Strong
Schema
Flexible
Flexible
Architecture
Serverless, Distributed, Shared storage
Distributed, Single node, Client server
deployment
Self-hosted
—
✓
Vendor-managed cloud
✓
—
Serverless
✓
—
Embedded
—
—
Edge
—
—
Clouds
AWS, Azure, Google Cloud
–
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
Spark SQL, Python (PySpark DataFrame API)
Client languages
Python, Java, JavaScript, Go, .NET
Python, Scala, Java, Go, Rust
Best for
Lakehouse, Warehouse, OLAP
Lakehouse, OLAP, Streaming
Add more to this comparisonNot sure either fits? Try smart match

Databricks SQL vs Sail: FAQ

What is the difference between Databricks SQL and Sail?

Databricks SQL: Serverless SQL warehouses on the Databricks lakehouse, powered by the Photon C++ engine. Sail: Rust-native, Spark Connect-compatible engine for SQL, DataFrame and streaming jobs without the JVM. Databricks SQL is primarily a columnar / OLAP database; Sail is relational. Licensing: Databricks SQL is proprietary (Proprietary); Sail is open source (permissive) (Apache License 2.0). Databricks SQL is built for larger datasets (Multi-PB) than Sail (≤ 1 PB).

When should I choose Databricks SQL over Sail?

Choose Databricks SQL for lakehouse SQL and BI on Delta Lake; consolidating a separate warehouse into Databricks; and dbt transformations on the lakehouse. Choose Sail for cutting cost of PySpark ETL, local Spark development without a JVM and lakehouse batch jobs on Delta/Iceberg.

Is Databricks SQL or Sail more popular?

Databricks SQL ranks #147 on the WhichDB Score (20.8/100) and Sail ranks #231 (14.5/100). Popularity is not fit: check the requirements that matter for your project.

Are Databricks SQL and Sail open source?

No. Databricks SQL is proprietary, closed-source software. Yes. Sail is open source. License: Apache License 2.0.