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DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
LindyHire an AI Employee That Gets Work Done
Comparison · AI Agents · weekly run Nov 3

Databricks vs Lindy

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

The short answer

Lindy is the stronger AI pick in AI Agents: it has a visibility score of 7.4 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 Lindy if…

  • You want the brand AI engines rank higher (7.4 vs 3)
  • You need HIPAA or GDPR or PIPEDA coverage
  • autonomous execution of end-to-end workflows
  • functions like a digital teammate

AI visibility side by side

Latest weekly run · Nov 3

Metric Databricks Lindy
Visibility score3%7.4%
Change vs last weekNewNew
Rank in AI Agents#30#17
Share of voice0.9%1.9%
Mentions this run612
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 · Lindy 0pp over 0 weekly runs.

Engine by engine

Lindy leads on 3 of 3 engines

ChatGPT
3.7%
5%
AI Mode
2%
9.1%
Perplexity
3.1%
8.2%
DatabricksLindy

Head to head in AI answers

0 engine answers name both brands

0Databricks ranked higher
0Lindy ranked higher

Features, pricing & fit

DimensionDatabricksLindy
Pricing model—Per seat
Entry price—Free; paid from $29.99 per seat / mo
Free plan—Yes
DeploymentAvailable across all major cloud providersCloud-hosted
Integrations—1500+
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3SOC 2 Type II, HIPAA, GDPR, PIPEDA
SupportTechnical support on request, Technical documentationLive onboarding on the Team plan, Dedicated support on the Enterprise plan, Onboarding and enablement on the Enterprise plan, Documentation
Founded20132023
HeadquartersSan Francisco, CASan Francisco, CA, United States
Employees5,000+11–50
FundingRound at $60B valuation, including secondary saleUnspecified round
Best forData engineering, data science, analytics and AI teams at startups and global enterprisesTeams that run recurring multi-tool work such as reporting, support triage, reconciliation and incident follow-up.

Plans side by side

Databricks

Pricing not available.

Lindy

Free$0one-time free credits, no credit card required
Team$29.99user per month
EnterpriseCustomcustom
Lindy 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

Lindy

  • autonomous execution of end-to-end workflows
  • functions like a digital teammate
  • free trial with credits, no card needed
  • highest average review rating (4.9/5 on G2)

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

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