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SlateIndex
DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
Google ADKOpen-source framework for building and deploying AI agents
Comparison · AI Agents · weekly run Nov 3

Databricks vs Google ADK

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 AI Agents: it has a visibility score of 3 versus 0.7 for Google ADK.

Choose Databricks if…

  • You want the brand AI engines rank higher (3 vs 0.7)
  • 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
  • Lakehouse architecture combining data warehousing with data lake flexibility

Choose Google ADK if…

  • native multimodal processing of text, video, audio, and code

AI visibility side by side

Latest weekly run · Nov 3

Metric Databricks Google ADK
Visibility score3%0.7%
Change vs last weekNewNew
Rank in AI Agents#30#64
Share of voice0.9%0.3%
Mentions this run62
Positive in AI answers35%0%

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 3%

Databricks 0pp · Google ADK 0pp over 0 weekly runs.

Engine by engine

Databricks leads on 3 of 3 engines

ChatGPT
3.7%
0.9%
AI Mode
2%
1.3%
Perplexity
3.1%
0%
DatabricksGoogle ADK

Head to head in AI answers

0 engine answers name both brands

0Databricks ranked higher
0Google ADK ranked higher

Features, pricing & fit

DimensionDatabricksGoogle ADK
DeploymentAvailable across all major cloud providersVertex AI Agent Engine Runtime is recommended; agents can also run on Cloud Run or Google Kubernetes Engine.
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3—
SupportTechnical support on request, Technical documentation—
Founded2013—
HeadquartersSan Francisco, CAGoogleplex, Mountain View, California (parent company Alphabet)
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

Google ADK

  • native multimodal processing of text, video, audio, and code

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

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