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DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
WeaviateThe AI database developers love
Comparison · Vector Databases · weekly run Nov 2

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 score1.4%45.2%
Change vs last weekNewNew
Rank in Vector Databases#22#4
Share of voice0.8%11.7%
Mentions this run456
Positive in AI answers35%59%

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 · Weaviate 0pp over 0 weekly runs.

Engine by engine

Weaviate leads on 3 of 3 engines

ChatGPT
1.9%
57.8%
AI Mode
1.3%
40%
Perplexity
1.1%
37.8%
DatabricksWeaviate

Head to head in AI answers

5 engine answers name both brands

0Databricks ranked higher
5Weaviate ranked higher

Features, pricing & fit

DimensionDatabricksWeaviate
Pricing model—Usage-based
Entry price—Free; paid from $45 / mo
Free plan—Yes
DeploymentAvailable across all major cloud providersServerless, Enterprise Cloud, or Bring Your Own Cloud
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3SOC 2 Type II, HIPAA (Enterprise Cloud on AWS)
SupportTechnical support on request, Technical documentationEmail support on all plans, Phone and Slack support on Premium and Dedicated plans, Technical Account Team add-on on Premium and Dedicated plans
Founded20132019
HeadquartersSan Francisco, CAAmsterdam, Netherlands
Employees5,000+51–200
FundingRound at $60B valuation, including secondary saleStrategic investment (Ricoh corporate venture fund)
Best forData engineering, data science, analytics and AI teams at startups and global enterprisesDevelopment 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

Free$0month
Flex$45month minimum, pay-as-you-go
Premium SharedCustomprepaid contract (from $400/month minimum)
Premium DedicatedCustomprepaid contract
Weaviate 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

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.