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Comparison · MLOps Platforms · weekly run Nov 2

AWS 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 MLOps Platforms: it has a visibility score of 46.2 versus 35.7 for AWS, and ranks ahead in 67% of the answers that name both.

Choose AWS if…

  • You need SOC 2 or PCI DSS Level 1 or FedRAMP or DoD SRG or ISO 9001 coverage
  • Core federation and multi-account management included at no extra charge
  • Enterprise-grade reliability and uptime on AWS infrastructure
  • Pay-as-you-go, usage-based pricing

Choose Databricks if…

  • You want the brand AI engines rank higher (46.2 vs 35.7)
  • AI answers describe it more positively (35% vs 16% positive)
  • You need SOC 2 Type II coverage
  • Lakehouse architecture combining data warehousing with data lake flexibility

AI visibility side by side

Latest weekly run · Nov 2

Metric AWS Databricks
Visibility score35.7%46.2%
Change vs last weekNewNew
Rank in MLOps Platforms#4#2
Share of voice7.5%7.6%
Mentions this run5151
Positive in AI answers16%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 2AWS 36%

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

Engine by engine

Databricks leads on 2 of 3 engines

ChatGPT
51.5%
43.3%
AI Mode
31.1%
51.1%
Perplexity
24.4%
44.1%
AWSDatabricks

Head to head in AI answers

39 engine answers name both brands

13AWS ranked higher
26Databricks ranked higher

Features, pricing & fit

DimensionAWSDatabricks
Deployment—Available across all major cloud providers
ComplianceSOC 1, SOC 2, SOC 3, ISO 27017, ISO 27018, ISO 27701, PCI DSS Level 1, FedRAMP, DoD SRG, ISO 9001, ISO 27001ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3
Support—Technical support on request, Technical documentation
Founded20212013
HeadquartersSeattle, WashingtonSan Francisco, CA
Employees5,000+5,000+
Funding—Round at $60B valuation, including secondary sale
Best for—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

AWS

  • Core federation and multi-account management included at no extra charge
  • Enterprise-grade reliability and uptime on AWS infrastructure
  • Pay-as-you-go, usage-based pricing
  • Deep integration with the AWS ecosystem and AI tools
  • Recognised by analysts such as Gartner and ISG
  • Requires strong AWS engineering or technical expertise

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, “AWS vs Databricks”, https://slateindex.ai/compare/aws-vs-databricks, data of Nov 2, 2026. Licence: CC BY 4.0.