Databricks vs Snowflake

Side-by-side — pricing, strengths, tradeoffs, and fit.

Databricks

Data + AI lakehouse platform unifying data engineering, analytics, and ML.

Snowflake

Cloud data platform / warehouse with separated storage and compute.

At a glance

Free TierEnterprise
● Established·From Usage-based (DBUs)
Free TierEnterprise
● Established·From Usage-based (credits)

Overview

One-liner

Data + AI lakehouse platform unifying data engineering, analytics, and ML.

One-liner

Cloud data platform / warehouse with separated storage and compute.

Maturity

Established

Maturity

Established

Open source

✕ No

Open source

✕ No

Pricing

Free tier

✓ Available

Free trial / Community Edition

Free tier

✓ Available

30-day free trial with credits

Starts at

Usage-based (DBUs)

Starts at

Usage-based (credits)

Model

Usage-based

Model

Usage-based

Enterprise

✓ Available

Enterprise

✓ Available

Best for

✓ Best for

Large-scale data engineering + MLLakehouse for data and AI together
Spark/ML-heavy workloadsUnified platform at scale

✓ Best for

Cloud data warehousing/analyticsElastic, low-ops warehouse
Cross-org data sharingSecure sharing and marketplace

Not ideal for

✕ Not for

—

✕ Not for

—

Strengths

↑ Strengths

Unified data + AI lakehouse
Scales to massive data
Strong ML/AI tooling

↑ Strengths

Elastic separated compute/storage
Easy to operate
Data sharing + marketplace

Weaknesses

↓ Weaknesses

Complex and costly
Steeper learning curve

↓ Weaknesses

Costs can surprise
Vendor lock-in
Full Databricks profile →Full Snowflake profile →