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Databricks Lakebase vs Snowflake

Databricks Lakebase: Databricks' serverless Postgres built on Neon tech, with branching and sync to Delta tables in Unity Catalog. Snowflake: Fully managed cloud data warehouse with separate storage and compute, now spanning AI and apps.

key differences

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

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

choose snowflake for

  • +Enterprise data warehouse
  • +ELT pipelines with dbt
  • +Cross-company data sharing
  • +BI and reporting at scale

best at · Warehouse, OLAP, Lakehouse

Databricks LakebaseDatabricks' serverless Postgres built on Neon tech, with branching and sync to Delta tables in Unity Catalog.
SnowflakeFully managed cloud data warehouse with separate storage and compute, now spanning AI and apps.
overview
Primary model
Relational
Columnar / OLAP
Also supports
Document, Vector
Relational, Document, Vector, Spatial
Type
Managed service
Managed service
Status
Active
Active
Developer
Databricks
Snowflake Inc.
First release
2025
2014
Latest version
–
–
License
ProprietaryProprietary (Databricks service)
ProprietaryProprietary
Free tier
—
—
popularity
WhichDB Score
0.8
74.4
Rank
#604
#7
GitHub stars
–
–
Stack Overflow questions
–
12.2K
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Massive (Multi-PB)
Horizontal scaling
None
Native
Multi-region
None
Read replicas
ACID
Full
Full
Consistency
Strong
Strong
Schema
Strict
Flexible
Architecture
Serverless, Shared storage, Primary replica
Distributed, Shared storage, Serverless
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
✓
✓
Embedded
—
—
Edge
—
—
Clouds
AWS, Azure
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, PL/pgSQL
SQL, Snowflake Scripting, Python (Snowpark), JavaScript
Client languages
Python, Java, Go, JavaScript, Scala
Python, Java, JavaScript, Go, .NET, C, PHP
Best for
OLTP, Feature store, Vector search, RAG
Warehouse, OLAP, Lakehouse
Add more to this comparisonNot sure either fits? Try smart match

Databricks Lakebase vs Snowflake: FAQ

What is the difference between Databricks Lakebase and Snowflake?

Databricks Lakebase: Databricks' serverless Postgres built on Neon tech, with branching and sync to Delta tables in Unity Catalog. Snowflake: Fully managed cloud data warehouse with separate storage and compute, now spanning AI and apps. Databricks Lakebase is primarily a relational database; Snowflake is columnar / OLAP. Snowflake is built for larger datasets (Multi-PB) than Databricks Lakebase (≤ 10 TB). Horizontal scaling is none in Databricks Lakebase and native in Snowflake.

When should I choose Databricks Lakebase over Snowflake?

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. Choose Snowflake for enterprise data warehouse, ELT pipelines with dbt and cross-company data sharing.

Is Databricks Lakebase or Snowflake more popular?

Snowflake ranks #7 on the WhichDB Score (74.4/100) and Databricks Lakebase ranks #604 (0.8/100). Popularity is not fit: check the requirements that matter for your project.

Are Databricks Lakebase and Snowflake open source?

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