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DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
LightdashBuild Intelligence, not just dashboards.
Comparison · Business Intelligence · weekly run Nov 2

Databricks vs Lightdash

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 Business Intelligence: it has a visibility score of 4.3 versus 0.3 for Lightdash.

Choose Databricks if…

  • You want the brand AI engines rank higher (4.3 vs 0.3)
  • 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
  • You prefer a larger, established vendor (5,000+ employees)
  • Lakehouse architecture combining data warehousing with data lake flexibility

Choose Lightdash if…

  • AI answers describe it more positively (100% vs 35% positive)
  • You need a self-hosted or on-premises option
  • You need SOC 2 or HIPAA (BAA support) coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric Databricks Lightdash
Visibility score4.3%0.3%
Change vs last weekNewNew
Rank in Business Intelligence#18#39
Share of voice1.6%0.2%
Mentions this run81
Positive in AI answers35%100%

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 2Databricks 4%

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

Engine by engine

Databricks leads on 3 of 3 engines

ChatGPT
3%
0.9%
AI Mode
3.7%
0%
Perplexity
6.3%
0%
DatabricksLightdash

Head to head in AI answers

0 engine answers name both brands

0Databricks ranked higher
0Lightdash ranked higher

Features, pricing & fit

DimensionDatabricksLightdash
Pricing model—Flat tiers
Entry price—Free; paid from $3,000 / mo
Free plan—Yes
DeploymentAvailable across all major cloud providersHosted on Google Cloud in US and EU regions, self-hosted via open source, or cloud or on-prem on the Enterprise tier.
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3SOC 2, HIPAA (BAA support)
SupportTechnical support on request, Technical documentationCommunity Slack (Open Source plan), Private Slack channel and live chat (Cloud Pro), Private Slack channel and premium support with 8-hour response SLA (Enterprise)
Founded20132021
HeadquartersSan Francisco, CASan Francisco, CA, United States
Employees5,000+11–50
FundingRound at $60B valuation, including secondary saleSeries A · $19M raised
Best forData engineering, data science, analytics and AI teams at startups and global enterprisesData teams already using dbt who want self-serve BI without per-seat pricing.

Plans side by side

Databricks

Pricing not available.

Lightdash

Open Source$0month (self-hosted)
Cloud Pro$3,000month
EnterpriseCustomcontact sales
Lightdash 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

Lightdash

Profile in progress.

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

Cite as: SlateIndex, “Databricks vs Lightdash”, https://slateindex.ai/compare/databricks-vs-lightdash, data of Nov 2, 2026. Licence: CC BY 4.0.