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Databricks

The lakehouse platform for data and AI

A unified analytics platform powered by AI that manages lakehouse architectures, data engineering, and governance.

Pricing fromCustom
Best forEnterprise scale data engineering and AI model training
Websitedatabricks.com

Company facts

Founded2013
HeadquartersSan Francisco
Employees1,001 to 5,000
IndustrySoftware industry
Social profilesLinkedIn, X, YouTube

Facilities and features

  • Published pricing
  • Integrations

What stands out

The product builds reliable ETL pipelines for batch and streaming with Lakeflow.

“Build reliable ETL pipelines for batch and streaming with Lakeflow. Ingest, transform and orchestrate your data at scale with a unified solution.”Databricks, own website

The product enables business users to get instant insights using natural language without coding.

“Databricks Genie is a conversational analytics interface within the Databricks Data + AI Platform that enables business”Databricks, own website

Strengths and trade-offs

  • Unmatched performance for massive enterprise datasets
  • Comprehensive collaborative notebooks and AI governance
  • Steep learning curve and expensive infrastructure costs

Appears in

How Databricks ranks

#7 in Best data governance software

How the score is made up: Evidence on its own site 20; How complete its published information is 16; Fit to this ranking's criteria 40; Buying information on its own site 12.

“Governance Unified governance for all data, analytics and AI assets”Databricks, own website

#9 in Best data orchestration tools

How the score is made up: Evidence on its own site 20; How complete its published information is 16; Fit to this ranking's criteria 40; Buying information on its own site 12.

“Data Engineering ETL and orchestration for batch and streaming data”Databricks, own website

#5 in Best data science platforms

How the score is made up: Evidence on its own site 20; How complete its published information is 16; Fit to this ranking's criteria 40; Buying information on its own site 12.

“2026 Gartner® Magic Quadrant™ for Data Science and AI Platforms”Databricks, own website

#6 in Enterprise data science platforms

How the score is made up: Evidence on its own site 20; How complete its published information is 16; Fit to this ranking's criteria 40; Buying information on its own site 12.

“Databricks is a unified data and AI platform that runs both analytical and operational workloads on one open, governed foundation.”Databricks, own website
“Databricks: Leading Data and AI Platform for Enterprises Skip to main content Login Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research”Databricks, own website

Alternatives to Databricks

Alteryx
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Deepnote
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Cloudera
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Knime Analytics Platform
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mpds.io
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Anaconda
Builder freedom with enterprise control
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Questions about Databricks

How much does Databricks cost?

Lister lists Databricks's pricing as: Custom.

Who is Databricks best for?

Databricks is best for enterprise scale data engineering and AI model training.

Where does Databricks rank?

Databricks is ranked #5 in Best data science platforms (Lister Score 88.0), #5 in Top 10 AI Data-Analysis Tools (Lister Score 88.5), #6 in Enterprise data science platforms (Lister Score 88.0), #6 in Top 10 Analytics Platforms (Lister Score 82.5), #7 in Best data governance software (Lister Score 88.0), #7 in Top 10 AI Database-Design Tools (Lister Score 81.0), #7 in Top 10 AI Model Training Platforms (Lister Score 81.0) and #9 in Best data orchestration tools (Lister Score 88.0).

What are the best alternatives to Databricks?

The closest alternatives on Lister are Alteryx (#1 in Best data science platforms), Deepnote (#2 in Best data science platforms) and Cloudera (#3 in Best data science platforms).

Where is Databricks based?

Databricks is headquartered in San Francisco, and was founded in 2013.

Is this your company?

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