Databricks vs Weaviate
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Weaviate is the stronger AI pick in Vector Databases: it has a visibility score of 45.2 versus 1.4 for Databricks, and ranks ahead in 100% of the answers that name both.
Choose Databricks if…
- 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
- Strong for machine learning, AI, and data engineering workloads
Choose Weaviate if…
- You want the brand AI engines rank higher (45.2 vs 1.4)
- AI answers describe it more positively (59% vs 35% positive)
- You need HIPAA (Enterprise Cloud on AWS) coverage
- Strong native hybrid search
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Databricks | Weaviate |
|---|---|---|
| Visibility score | 1.4% | 45.2% |
| Change vs last week | New | New |
| Rank in Vector Databases | #22 | #4 |
| Share of voice | 0.8% | 11.7% |
| Mentions this run | 4 | 56 |
| Positive in AI answers | 35% | 59% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Weaviate 0pp over 0 weekly runs.
Engine by engine
Weaviate leads on 3 of 3 engines
Head to head in AI answers
5 engine answers name both brands
| Prompt | Engine | Databricks | Weaviate |
|---|---|---|---|
| Best vector database for enterprise | ChatGPT | #9 | #3 |
| Best vector database for enterprise | AI Mode | #6 | #4 |
| Compare the leading Vector Databases platforms | ChatGPT | #10 | #3 |
| Best vector database with AI features | Perplexity | #7 | #2 |
| Is Chroma a good vector database? | ChatGPT | #6 | #4 |
Features, pricing & fit
| Dimension | Databricks | Weaviate |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $45 / mo |
| Free plan | — | Yes |
| Deployment | Available across all major cloud providers | Serverless, Enterprise Cloud, or Bring Your Own Cloud |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2 Type II, HIPAA (Enterprise Cloud on AWS) |
| Support | Technical support on request, Technical documentation | Email support on all plans, Phone and Slack support on Premium and Dedicated plans, Technical Account Team add-on on Premium and Dedicated plans |
| Founded | 2013 | 2019 |
| Headquarters | San Francisco, CA | Amsterdam, Netherlands |
| Employees | 5,000+ | 51–200 |
| Funding | Round at $60B valuation, including secondary sale | Strategic investment (Ricoh corporate venture fund) |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Development teams and enterprises building search, RAG and agent applications who want an open-source, production-ready vector database. |
Plans side by side
Databricks
Pricing not available.
Weaviate
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
Weaviate
- Strong native hybrid search
- Open-source and modular AI-native design
- Free tier or trial to start
- Flexible indexing and configurable managed service
- Published pricing with an annual-commitment option
- Monthly minimum charges
- Higher tiers priced steeply above entry plan
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Weaviate”, https://slateindex.ai/compare/databricks-vs-weaviate, data of Nov 2, 2026. Licence: CC BY 4.0.