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DatabricksUnified data, analytics and AI platform on an open lakehouse
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Comparison · Data Warehouse · weekly run Nov 3

Databricks vs Oracle Autonomous Data Warehouse

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 7.1 for Oracle Autonomous Data Warehouse, and ranks ahead in 83% of the answers that name both.

Choose Databricks if…

  • You want the brand AI engines rank higher (37.9 vs 7.1)
  • You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 2 Type II or SOC 3 coverage
  • Lakehouse architecture combining data warehousing with data lake flexibility
  • Strong for machine learning, AI, and data engineering workloads

Choose Oracle Autonomous Data Warehouse if…

  • AI answers describe it more positively (38% vs 35% positive)
  • You need FedRAMP High or HIPAA or PCI DSS or SOC 2 or ISO/IEC 27017:2015 or C5 or CSA STAR or ISO/IEC 27018:2014 or ISO/IEC 27001 coverage
  • Self-driving, self-securing, self-repairing cloud data warehouse
  • Automated tuning and fit for Oracle-centric enterprises

AI visibility side by side

Latest weekly run · Nov 3

Metric Databricks Oracle Autonomous Data Warehouse
Visibility score37.9%7.1%
Change vs last weekNewNew
Rank in Data Warehouse#4#13
Share of voice9.3%2.5%
Mentions this run5214
Positive in AI answers35%38%

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 3Databricks 38%

Databricks 0pp · Oracle Autonomous Data Warehouse 0pp over 0 weekly runs.

Engine by engine

Databricks leads on 3 of 3 engines

ChatGPT
46.1%
9.3%
AI Mode
35.4%
7.4%
Perplexity
32.2%
4.6%
DatabricksOracle Autonomous Data Warehouse

Head to head in AI answers

12 engine answers name both brands

10Databricks ranked higher
2Oracle Autonomous Data Warehouse ranked higher

Features, pricing & fit

DimensionDatabricksOracle Autonomous Data Warehouse
DeploymentAvailable across all major cloud providersServerless or Dedicated, in Oracle public cloud or on Exadata Cloud@Customer
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3FedRAMP High, HIPAA, PCI DSS, SOC 1, SOC 2, ISO/IEC 27017:2015, C5, CSA STAR, ISO/IEC 27018:2014, ISO/IEC 27001
SupportTechnical support on request, Technical documentation—
Founded2013—
HeadquartersSan Francisco, CAAustin, TX
Employees5,000+5,000+
FundingRound at $60B valuation, including secondary sale—
Best forData engineering, data science, analytics and AI teams at startups and global enterprises—

Pros and cons

Themes from the AI answers that mention each brand

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

Oracle Autonomous Data Warehouse

  • Self-driving, self-securing, self-repairing cloud data warehouse
  • Automated tuning and fit for Oracle-centric enterprises

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

    Cite as: SlateIndex, “Databricks vs Oracle Autonomous Data Warehouse”, https://slateindex.ai/compare/databricks-vs-oracle-autonomous-data-warehouse, data of Nov 3, 2026. Licence: CC BY 4.0.