Databricks vs Snowflake
Data Warehousing pricing comparison · 2026
Databricks pricing ranges from $0–$0.4/month, while Snowflake ranges from $0–$50000/month. Databricks is typically 100% more affordable, though your actual cost depends on tier and team size.
Databricks and Snowflake both dominate the cloud data lakehouse space, but they target different primary use cases. Databricks started as a unified analytics platform (built on Apache Spark) and expanded into SQL warehousing via Databricks SQL. Snowflake started as a pure data warehouse and expanded into data engineering via Snowpark. Both use consumption-based pricing measured in proprietary units (DBUs for Databricks, credits for Snowflake), making direct cost comparison tricky without profiling your actual workload.
Plan-by-Plan Pricing
| Plan | Databricks | Snowflake |
|---|---|---|
| Free Trial | Free /month | Custom |
| Data Engineering | Custom | Custom |
| Data Warehousing | Custom | Custom |
| AI/ML | Custom | Custom |
Cost at Scale
Total cost of ownership — licenses, implementation, and hidden costs included.
Databricks
7 scenariosSnowflake
6 scenariosMarket Intelligence
Databricks
- Median annual cost
- $249,960
- Average negotiated discount
- 13%
- Based on
- 171 deals
Snowflake
- Median annual cost
- $96,594
- Average negotiated discount
- 8%
- Based on
- 622 deals
Contract Terms
| Term | Databricks | Snowflake |
|---|---|---|
| Auto-renewal | Yes | — |
| Cancellation | Terms not publicly disclosed | — |
| Minimum commitment | 1-3 years typical | — |
| Price escalation | No published schedule, but discount percentages have been decreasing year over year, making renewals more expensive even without explicit uplift clauses. | — |
| Can downgrade | No | Yes |
Our Verdict
Choose Databricks if your team runs machine learning, streaming pipelines, or Python/Spark workloads alongside SQL analytics. Databricks Unity Catalog and Delta Lake make it the stronger choice for organizations treating data as a lakehouse rather than a traditional warehouse.
Choose Snowflake if your primary use case is SQL analytics and BI reporting, you need to share data securely across organizations via Snowflake Data Sharing, or you want a simpler operational model without managing clusters or Spark tuning.
Frequently Asked Questions
01 Is Databricks or Snowflake more expensive?
Both use consumption pricing that varies by workload. Databricks DBU rates range from $0.07–$0.40/DBU depending on workload type and cloud. Snowflake credits cost ~$2–$4 each. Actual costs depend heavily on cluster sizes, runtimes, and efficiency. Most organizations find them comparable at similar scale.
02 Can Databricks replace Snowflake?
For SQL-only analytics teams, probably not without reskilling. Databricks SQL has improved significantly but Snowflake's SQL interface, query optimizer, and BI tool integrations are more mature. For data engineering + ML teams, Databricks often replaces Snowflake entirely.
03 Which has better data sharing: Databricks or Snowflake?
Snowflake's Data Sharing is more mature and widely adopted for sharing data between organizations without copying it. Databricks Delta Sharing is an open protocol that works across platforms but has fewer participants in its marketplace ecosystem.