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DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
LanceDBThe multimodal lakehouse for AI, accelerating large-scale data curation and feature engineering.
Comparison · Vector Databases · weekly run Nov 2

Databricks vs LanceDB

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

The short answer

LanceDB is the stronger AI pick in Vector Databases: it has a visibility score of 5.7 versus 1.4 for Databricks.

Choose Databricks if…

  • AI answers describe it more positively (35% vs 31% 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 LanceDB if…

  • You want the brand AI engines rank higher (5.7 vs 1.4)
  • You need HIPAA or GDPR coverage
  • Open-source, serverless vector database
  • Embeds directly into applications and notebooks

AI visibility side by side

Latest weekly run · Nov 2

Metric Databricks LanceDB
Visibility score1.4%5.7%
Change vs last weekNewNew
Rank in Vector Databases#22#11
Share of voice0.8%2.8%
Mentions this run413
Positive in AI answers35%31%

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 1%

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

Engine by engine

LanceDB leads on 3 of 3 engines

ChatGPT
1.9%
6.1%
AI Mode
1.3%
6.1%
Perplexity
1.1%
5%
DatabricksLanceDB

Head to head in AI answers

0 engine answers name both brands

0Databricks ranked higher
0LanceDB ranked higher

Features, pricing & fit

DimensionDatabricksLanceDB
DeploymentAvailable across all major cloud providersOpen-source edition embedded in the application; LanceDB Cloud serverless; Enterprise in the customer's own cloud.
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3SOC 2 Type II, HIPAA, GDPR
SupportTechnical support on request, Technical documentationContact form, with a reply promised within 48 hours
Founded20132022
HeadquartersSan Francisco, CASan Francisco, California
Employees5,000+11–50
FundingRound at $60B valuation, including secondary saleSeries A
Best forData engineering, data science, analytics and AI teams at startups and global enterprisesFeature teams building production AI applications with vector search and multimodal data.

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

LanceDB

  • Open-source, serverless vector database
  • Embeds directly into applications and notebooks
  • Free local install without cloud signup
  • Seamless embedded or lakehouse table use

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

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