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SlateIndex
DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
GumloopBuild AI agents for work
Comparison · AI Agents · weekly run Nov 3

Databricks vs Gumloop

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

The short answer

Gumloop is the stronger AI pick in AI Agents: it has a visibility score of 4.9 versus 3 for Databricks.

Choose Databricks if…

  • AI answers describe it more positively (35% vs 33% positive)
  • You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 3 coverage
  • You prefer a larger, established vendor (5,000+ employees)
  • Lakehouse architecture combining data warehousing with data lake flexibility

Choose Gumloop if…

  • You want the brand AI engines rank higher (4.9 vs 3)
  • You need GDPR coverage
  • visual node-based canvas for chaining AI agents
  • web scraping and data extraction capabilities

AI visibility side by side

Latest weekly run · Nov 3

Metric Databricks Gumloop
Visibility score3%4.9%
Change vs last weekNewNew
Rank in AI Agents#30#24
Share of voice0.9%1.6%
Mentions this run610
Positive in AI answers35%33%

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 · Gumloop 0pp over 0 weekly runs.

Engine by engine

Gumloop leads on 2 of 3 engines

ChatGPT
3.7%
0.9%
AI Mode
2%
5.7%
Perplexity
3.1%
8%
DatabricksGumloop

Head to head in AI answers

0 engine answers name both brands

0Databricks ranked higher
0Gumloop ranked higher

Features, pricing & fit

DimensionDatabricksGumloop
Pricing model—Flat tiers
Entry price—$37 / mo
Free plan—No · 14-day trial
DeploymentAvailable across all major cloud providersCloud-based, with VPC deployment inside a customer's AWS, Azure or Google Cloud environment.
Integrations—400+
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3SOC 2 Type II, GDPR
SupportTechnical support on request, Technical documentationEmail support, Dedicated Slack support on Enterprise, Gumloop University, Embedded Gumloop Expert on Enterprise
Founded20132023
HeadquartersSan Francisco, CASan Francisco, CA
Employees5,000+11–50
FundingRound at $60B valuation, including secondary saleSeries B · $70M raised
Best forData engineering, data science, analytics and AI teams at startups and global enterprisesCompanies whose non-technical teams want to build their own agents while IT keeps control of access and spend.

Plans side by side

Databricks

Pricing not available.

Gumloop

Pro$37month
EnterpriseCustomcustom pricing
Gumloop pricing

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

Gumloop

  • visual node-based canvas for chaining AI agents
  • web scraping and data extraction capabilities
  • 14-day trial offered
  • suggested as a starting option for teams without engineering capacity

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

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