Databricks icon

Databricks

★★★★★ 4.5
VS
Snowflake icon

Snowflake

★★★★★ 4.5
Feature Databricks Snowflake
Pricing Free / from $0.07/mo Free / from $2/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.5 / 5 4.5 / 5
Best For data-engineering-teams, ml-teams, enterprises, large-scale-analytics data-teams, enterprises, multi-cloud-organizations, data-sharing
Founded 2013 2012
Data Lakehouse
Sql Analytics
Machine Learning
Real Time Streaming
Data Governance
Notebooks
Delta Lake
Data Warehouse
Data Lake
Data Sharing
Auto Scaling
Time Travel
Snowpark
Marketplace

✓ Databricks Pros

  • Unified platform for data engineering, science, and analytics
  • Delta Lake provides ACID transactions on data lakes
  • Excellent ML/AI capabilities with MLflow integration
  • Community Edition is free for learning

✗ Databricks Cons

  • Complex pricing with DBU credits
  • Requires data engineering expertise to configure
  • Vendor lock-in once deeply integrated

✓ Snowflake Pros

  • Separates compute and storage for cost efficiency
  • Near-zero maintenance with automatic scaling
  • Excellent for sharing data across organizations
  • Free $400 trial credit to evaluate

✗ Snowflake Cons

  • Credit-based pricing is hard to predict
  • Can get expensive with heavy compute workloads
  • Proprietary (vendor lock-in concerns)

The Verdict

Databricks is built for data engineering teams and ml teams, with a focus on data-lakehouse and sql-analytics. Snowflake targets data teams and enterprises and leads with data-warehouse and data-lake.

Pricing is close: Databricks starts at $0.07/mo versus $2/mo for Snowflake — not a deciding factor on its own.

Both offer free plans, so you can test each with your real workflow before committing to a subscription.

Both tools are a solid fit for enterprises — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.

This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.

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