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 score | 1.4% | 5.7% |
| Change vs last week | New | New |
| Rank in Vector Databases | #22 | #11 |
| Share of voice | 0.8% | 2.8% |
| Mentions this run | 4 | 13 |
| Positive in AI answers | 35% | 31% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · LanceDB 0pp over 0 weekly runs.
Engine by engine
LanceDB leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksLanceDB
Head to head in AI answers
0 engine answers name both brands
0Databricks ranked higher
0LanceDB ranked higher
Features, pricing & fit
| Dimension | Databricks | LanceDB |
|---|---|---|
| Deployment | Available across all major cloud providers | Open-source edition embedded in the application; LanceDB Cloud serverless; Enterprise in the customer's own cloud. |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2 Type II, HIPAA, GDPR |
| Support | Technical support on request, Technical documentation | Contact form, with a reply promised within 48 hours |
| Founded | 2013 | 2022 |
| Headquarters | San Francisco, CA | San Francisco, California |
| Employees | 5,000+ | 11–50 |
| Funding | Round at $60B valuation, including secondary sale | Series A |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Feature 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.