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ClouderaThe hybrid data and AI platform that brings AI to data anywhere
vs
DatabricksUnified data, analytics and AI platform on an open lakehouse
Comparison · Data Warehouse · weekly run Nov 3

Cloudera vs Databricks

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Databricks is the stronger AI pick in Data Warehouse: it has a visibility score of 37.9 versus 1 for Cloudera, and ranks ahead in 100% of the answers that name both.

Choose Cloudera if…

No clear advantage in the published data.

Choose Databricks if…

  • You want the brand AI engines rank higher (37.9 vs 1)
  • AI answers describe it more positively (35% vs 0% positive)
  • You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
  • You prefer a larger, established vendor (5,000+ employees)

AI visibility side by side

Latest weekly run · Nov 3

Metric Cloudera Databricks
Visibility score1%37.9%
Change vs last weekNewNew
Rank in Data Warehouse#25#4
Share of voice0.5%9.3%
Mentions this run352
Positive in AI answers0%35%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 3Cloudera 1%

Cloudera 0pp · Databricks 0pp over 0 weekly runs.

Engine by engine

Databricks leads on 3 of 3 engines

ChatGPT
0.9%
46.1%
AI Mode
0%
35.4%
Perplexity
2%
32.2%
ClouderaDatabricks

Head to head in AI answers

2 engine answers name both brands

0Cloudera ranked higher
2Databricks ranked higher

Features, pricing & fit

DimensionClouderaDatabricks
DeploymentPublic clouds, sovereign clouds, private data centers, air-gapped networks and the edgeAvailable across all major cloud providers
Compliance—ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3
SupportSupport Portal, Cloudera Professional ServicesTechnical support on request, Technical documentation
Founded—2013
HeadquartersSanta Clara, California, USSan Francisco, CA
Employees1,001–5,0005,000+
FundingTake-private by KKR · $1041M raisedRound at $60B valuation, including secondary sale
Best forLarge enterprises and public sector organizations that need AI and analytics on data spread across clouds, data centers and the edge.Data engineering, data science, analytics and AI teams at startups and global enterprises

Pros and cons

Themes from the AI answers that mention each brand

Cloudera

Profile in progress.

Databricks

  • Lakehouse architecture combining data warehousing with data lake flexibility
  • Strong for machine learning, AI, and data engineering workloads
  • Top customer satisfaction ratings alongside Snowflake
  • Free trial and free Edition for learning
  • Discounts for annual prepaid commitments
  • Complex consumption-based pricing with no single fixed price
  • Best only when ML, Spark, or Python skills are central to the team

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

Cite as: SlateIndex, “Cloudera vs Databricks”, https://slateindex.ai/compare/cloudera-vs-databricks, data of Nov 3, 2026. Licence: CC BY 4.0.