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HomeVector DatabasesCompareDatabricks Vector Search vs Weaviate
Updated May 13, 2026 · Independent Analysis

Databricks Vector SearchvsWeaviate

Capability Overview
Databricks Vector Search logo - software comparison
4.5/5+0.1 vs Weaviate
Only in Databricks Vector Search
  • Managed Vector Index
  • Delta Lake Integration
  • Unity Catalog Governance
10k+ users · est. 2013
Weaviate logo - software comparison
Weaviatevs Databricks Vector Search
4.4/5-0.1 vs Databricks Vector Search
Only in Weaviate
  • Open Source (Apache 2.0)
  • Hybrid Search (BM25 + Vector)
  • Multimodal Support
✓ Free plan5k+ users · est. 2019

Pricing Intelligence

Databricks Vector Search logo - software comparison

Databricks Vector Search Plans

Paid plans only

Included in Databricks
Custom
  • Bundled with Unity Catalog
  • DBU consumption
  • Enterprise SLA
Full Databricks Vector Search Pricing Breakdown →
Weaviate logo - software comparison

Weaviate Plans

Free tier available

Open Source0
Open Source
  • Full features
  • Community support
  • Apache 2.0
Serverless
Custom
  • From $0.045/1M vectors
  • Managed cloud
  • No ops overhead
Enterprise Dedicated
Custom
  • Custom deployment
  • SLA
  • Dedicated support
Full Weaviate Pricing Breakdown →

Feature Matrix

2 differences found across 10 standardized features

Feature
Databricks Vector Search
Weaviate
Open Source
On-Premises
Total (raw)
16
16

Pros & Cons Face-Off

Evaluative strengths and weaknesses — not feature lists

Pros
  • +Seamless integration with Delta Lake and Unity Catalog
  • +Auto-sync keeps vector index current without manual pipelines
  • +Unified governance across data and vectors
  • +No separate infrastructure for existing Databricks users
Cons
  • Only available within Databricks — no standalone option
  • Adds to Databricks DBU costs
Pros
  • +Open source with managed cloud option gives deployment flexibility
  • +Built-in vectorizers reduce pipeline complexity
  • +Knowledge graph cross-references unique in category
  • +Active community and excellent documentation
Cons
  • GraphQL API has steeper learning curve
  • Performance benchmarks trail Qdrant at very high scale

At a Glance

User Rating
4.5/5vs4.4/5
Databricks Vector Search
Weaviate
Starting Price
ContactvsPay-per-use
Databricks Vector Search
Weaviate
Feature Count
16 featuresvs16 features
Databricks Vector Search
Weaviate
User Base
10vs5
Databricks Vector Search
Weaviate

Frequently Asked Questions

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Authored by Oleh KemExpert verified·Updated May 13, 2026·Our methodology