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

Databricks vs Fivetran

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 7.2 for Fivetran, and ranks ahead in 86% of the answers that name both.

Choose Databricks if…

  • You want the brand AI engines rank higher (37.9 vs 7.2)
  • AI answers describe it more positively (35% vs 20% positive)
  • You need ISO 27017 or ISO 27018 or ISO 27701 or SOC 2 Type II or SOC 3 coverage
  • You prefer a larger, established vendor (5,000+ employees)

Choose Fivetran if…

  • You need SOC 2 or GDPR or HIPAA BAA or PCI DSS Level 1 or HITRUST coverage
  • Smooth connectivity with modern data stacks and low-friction integration
  • Drastically shortened infrastructure setup phase
  • Best published annual discount structure for data integration

AI visibility side by side

Latest weekly run · Nov 3

Metric Databricks Fivetran
Visibility score37.9%7.2%
Change vs last weekNewNew
Rank in Data Warehouse#4#12
Share of voice9.3%2.7%
Mentions this run5215
Positive in AI answers35%20%

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 · Fivetran 0pp over 0 weekly runs.

Engine by engine

Databricks leads on 3 of 3 engines

ChatGPT
46.1%
5.7%
AI Mode
35.4%
7%
Perplexity
32.2%
8.7%
DatabricksFivetran

Head to head in AI answers

14 engine answers name both brands

12Databricks ranked higher
2Fivetran ranked higher

Features, pricing & fit

DimensionDatabricksFivetran
DeploymentAvailable across all major cloud providersFlexible deployment, including private deployment and private networking options
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3SOC 1, SOC 2, GDPR, HIPAA BAA, ISO 27001, PCI DSS Level 1, HITRUST
SupportTechnical support on request, Technical documentation—
Founded20132012
HeadquartersSan Francisco, CAOakland, California
Employees5,000+1,001–5,000
FundingRound at $60B valuation, including secondary saleSeries D-2
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

Fivetran

  • Smooth connectivity with modern data stacks and low-friction integration
  • Drastically shortened infrastructure setup phase
  • Best published annual discount structure for data integration

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

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