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Updated 1 week ago · Independent Analysis
Databricks Vector Search vs Weaviate
Capability Overview
Databricks Vector Searchvs Weaviate
4.6G2
Only in Databricks Vector Search
- ✦ Managed Vector Index
- ✦ Delta Lake Integration
- ✦ Unity Catalog Governance
10k+ users · est. 2013
Weaviatevs Databricks Vector Search
4.6G2
Only in Weaviate
- ✦ Open Source (Apache 2.0)
- ✦ Hybrid Search (BM25 + Vector)
- ✦ Multimodal Support
✓ Free planFrom $45/mo5k+ users · est. 2019
Quick VerdictIndependent Analysis
Databricks Vector Search and Weaviate are both Vector Databases tools. Compare features, pricing, and ratings below to find the best fit for your team.
When to Choose Databricks Vector Search vs Weaviate
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Weaviate Unique Strength
Multi-Modal Search Across Text and Images in One Index
Weaviate's multi2vec module indexes text and image objects in the same collection, enabling cross-modal search where a text query returns images and vice versa without separate pipelines.
→ Choose Weaviate if this scenario applies to you. Databricks Vector Search doesn't offer a comparable solution.
Weaviate Unique Strength
Generative Search: Retrieve and Generate in One Query
Weaviate's Generative Search module passes retrieved objects directly to an LLM within the same query, cutting latency by eliminating a separate LLM API call for RAG retrieval-generation pipelines.
→ Choose Weaviate if this scenario applies to you. Databricks Vector Search doesn't offer a comparable solution.
Weaviate Unique Strength
Schema-Enforced Filtered Vector Search on Metadata
Weaviate's structured schema enforces data types on vector objects, enabling filtered vector search that combines nearest neighbor with exact property matches and reducing false positives in metadata-sensitive retrieval.
→ Choose Weaviate if this scenario applies to you. Databricks Vector Search doesn't offer a comparable solution.
Pricing Comparison & PlansHigh· Verified May 30, 2026
Databricks Vector Search Plans
Paid plans only
Standard
Contact SalesBest for: This plan is suitable for general-purpose vector search needs
- ✓Automatically indexes data in a vector database.
- ✓Supports accurate and fast search results and LLM predictions.
- ✓Billed per hour for compute.
- ✓Includes cloud instance cost.
- ✓Supports hybrid keyword-similarity search.
View on vendor site
MOST POPULARStorage Optimized
Contact SalesBest for: Designed for use cases requiring high storage capacity for vectors
- ✓Scales RAG applications up to billions of vectors.
- ✓Designed for large-scale use cases.
- ✓Billed per hour for compute.
- ✓Includes cloud instance cost.
- ✓Provides 10-20x faster indexing.
View on vendor site
Weaviate Plans
Free tier available
Open-Source
Open SourceBest for: Good for self-hosting and full control over your vector database
- ✓Full feature access
- ✓Control over infrastructure
- ✓Self-hosted deployment
- ✓BSD-3 license
View on vendor site
MOST POPULARSandbox
FreeBest for: Ideal for testing and development without commitment
- ✓Managed cloud
- ✓Learning and prototyping
- ✓2,000 requests/day limit
- ✓14-day trial
View on vendor site
Flex
$45/moBest for: This is the entry-level paid plan, offering managed services for small to medium projects
- ✓Entry-level managed tier
- ✓Shared multi-tenant infrastructure
- ✓Pay-as-you-go pricing
- ✓99.5% SLA
- ✓Self-service scaling
View on vendor site
Premium
Contact SalesBest for: large-scale enterprise deployments requiring high performance, security, and custom solutions
- ✓Dedicated infrastructure
- ✓99.95% SLA
- ✓1-hour critical issue response
- ✓HIPAA BAA
- ✓ISO 27001:2022 compliance
View on vendor site
Bring Your Own Cloud (BYOC)
Contact SalesBest for: Offers deployment within your own cloud environment for maximum control and compliance
- ✓Weaviate manages database within your cloud
- ✓Integrates with AWS, GCP, Azure
- ✓Leverage native cloud services
- ✓Optimized performance and security
View on vendor site
Plus
$280/mobilled annually$3360/yr
Best for: Designed for growing applications needing more resources and dedicated support
- ✓Improved 99.9% SLA
- ✓4-hour critical issue response
- ✓Dedicated or shared infrastructure
- ✓SOC 2 Type II access
- ✓Production workloads
View on vendor site
Capability Breakdown
6 differences found across 14 standardized features
Feature
Databricks Vector Search
Weaviate
Self-Hosted
✗
✓
Open Source
✗
✓
GPU Acceleration
✓
✗
Real-time Updates
✗
✓
HNSW Index
✗
✓
GraphQL API
✗
✓
Total (raw)
16
16
Databricks Vector Search Features
- •Managed Vector Index
- •Delta Lake Integration
- •Unity Catalog Governance
- •Auto-Sync from Delta Tables
- •Hybrid Search
- •Metadata Filtering
- •MLflow Integration
- •LangChain Integration
- •Python SDK
- •REST API
- •Serverless or Provisioned Compute
- •RBAC via Unity Catalog
- •Real-time Sync
- •Multi-model Embedding Support
- •Audit Logs
- •Enterprise SLA
Weaviate Features
- •Open Source (Apache 2.0)
- •Hybrid Search (BM25 + Vector)
- •Multimodal Support
- •GraphQL API
- •REST API
- •gRPC API
- •Built-in Vectorizers (OpenAI, Cohere, etc.)
- •Generative Search
- •Multi-tenancy
- •Modules Architecture
- •Kubernetes Deployment
- •Schema Management
- •Batch Import
- •Cross-References (Graph)
- •Python/JS/Go SDKs
- •LangChain Integration
Strengths & Limitations
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
4.6/5vs4.6/5
Databricks Vector Search
Weaviate
Starting Price
Contactvs$45/mo
Databricks Vector Search
Weaviate
▲
Feature Count
16 featuresvs16 features
Databricks Vector Search
Weaviate
User Base
10vs5
Databricks Vector Search
▲
Weaviate
Databricks Vector Search · Price & Data SyncLast verified: May 30, 2026 · CE-DB-2026W23-B10F8B · ✓ Pricing updated May 30, 2026
Weaviate · Price & Data SyncLast verified: May 28, 2026 · CE-DB-2026W21-4EB62C · ✓ Pricing updated May 28, 2026
Recent Price History
Databricks Vector Search
Databricks Vector Search added a new "Standard" plan (Custom pricing)
Plan added · May 30, 2026
Databricks Vector Search
Databricks Vector Search removed the "Serverless Vector Search" plan
Plan removed · May 30, 2026
Databricks Vector Search
Databricks Vector Search added a new "Storage Optimized" plan (Custom pricing)
Plan added · May 30, 2026
Weaviate
Weaviate added a new "Open-Source" plan at $0/mo (Free)
Plan added · May 28, 2026
Weaviate
Weaviate removed the "Enterprise Cloud" plan
Plan removed · May 28, 2026
Weaviate
Weaviate added a new "Sandbox" plan at $0/mo (Free)
Plan added · May 28, 2026
Weaviate
Weaviate added a new "Flex" plan at $45/mo
Plan added · May 28, 2026
Weaviate
Weaviate removed the "Open Source" plan
Plan removed · May 28, 2026
Databricks Vector Search
Plan added · May 21, 2026
Databricks Vector Search
Plan removed · May 21, 2026
Frequently Asked Questions
Related Comparisons
Databricks Vector Search
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