Databricks icon

Databricks

★★★★★ 4.5
VS

Rows

★★★★ 4.2
Feature Databricks Rows
Pricing Free / from $0.07/mo Free / from $59/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.5 / 5 4.2 / 5
Best For data-engineering-teams, ml-teams, enterprises, large-scale-analytics data-analysts, marketers, startups, growth-teams
Founded 2013 2016
Data Lakehouse
Sql Analytics
Machine Learning
Real Time Streaming
Data Governance
Notebooks
Delta Lake
Integrations
Ai Assistant
Charts
Sharing
Templates
Api Connections

✓ 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

✓ Rows Pros

  • Built-in data integrations
  • Modern clean interface
  • Powerful AI features
  • Great for data analysis

✗ Rows Cons

  • Limited free plan
  • Smaller community
  • Some integrations require paid plan

The Verdict

Databricks is built for data engineering teams and ml teams, with a focus on data-lakehouse and sql-analytics. Rows targets data analysts and marketers and leads with integrations and ai-assistant.

On pricing, Databricks is the clear winner for budget-conscious users — starting at $0.07/mo compared to $59/mo for Rows. That $58.93/mo difference adds up quickly for growing teams.

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

Feature-wise, Databricks offers broader built-in capabilities (7 features vs 6), while Rows takes a more focused approach — which can mean a simpler, faster onboarding experience.

Bottom line: Databricks has a slight overall edge — but if built-in data integrations matters most to you, Rows may still be the right call.

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