vs

Vespa vs Weaviate

Vespa: Big-data serving engine for search, recommendation and RAG with tensors and ML ranking. Weaviate: Open-source AI-native vector database with hybrid search, modules for embeddings and multi-tenancy.

key differences

  • Vespa is primarily a search engine database; Weaviate is vector.
  • Vespa is built for larger datasets (Multi-PB) than Weaviate (≤ 1 PB).
  • Transactions: Vespa offers limited ACID; Weaviate offers none.
  • Only Vespa has ttl / expiry, online schema changes, streaming ingest.
  • Only Weaviate has role-based access.

choose vespa for

  • +Large-scale hybrid search and RAG retrieval
  • +Recommendation and personalization feeds
  • +Ad serving and ranking
  • +E-commerce search with learned ranking

best at · Search, Vector search, RAG

choose weaviate for

  • +RAG over documents with hybrid retrieval
  • +Multi-tenant SaaS semantic search
  • +Product and content recommendation
  • +Agent memory stores

best at · Vector search, RAG, Search

overview
Primary model
Search Engine
Vector
Also supports
Vector, Document
Document, Search Engine
Type
Database engine
Database engine
Status
Active
Active
Developer
Vespa.ai
Weaviate B.V.
First release
2017
2019
Latest version
8.763.13 (Oct 5, 2026)
1.40.2 (Oct 22, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)BSD-3-Clause (core); enterprise features under the Weaviate License
Free tier
✓
✓
popularity
WhichDB Score
23.8
33.4
Rank
#127
#65
GitHub stars
7.1K
16.9K
Stack Overflow questions
262
160
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
Read replicas
None
ACID
Limited
None
Consistency
Eventual
Tunable, Eventual
Schema
Strict
Flexible
Architecture
Distributed, Client server
Distributed, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
AWS, Google Cloud, Azure
AWS, Google Cloud, Azure
capabilities
Transactions
—
—
Joins
—
—
Secondary indexes
✓
✓
Full-text search
✓
✓
Vector search
✓
✓
Geospatial
✓
✓
JSON
✓
✓
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
✓
—
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
—
—
Role-based access
—
✓
Time travel
—
—
Branching
—
—
Online schema changes
✓
—
Streaming ingest
✓
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
YQL
GraphQL, Weaviate query API
Client languages
Java, Python, Go
Python, TypeScript, Go, Java, C#
Best for
Search, Vector search, RAG, Real-time analytics
Vector search, RAG, Search

Vespa vs Weaviate: FAQ

What is the difference between Vespa and Weaviate?

Vespa: Big-data serving engine for search, recommendation and RAG with tensors and ML ranking. Weaviate: Open-source AI-native vector database with hybrid search, modules for embeddings and multi-tenancy. Vespa is primarily a search engine database; Weaviate is vector. Vespa is built for larger datasets (Multi-PB) than Weaviate (≤ 1 PB). Transactions: Vespa offers limited ACID; Weaviate offers none.

When should I choose Vespa over Weaviate?

Choose Vespa for large-scale hybrid search and RAG retrieval; recommendation and personalization feeds; and ad serving and ranking. Choose Weaviate for RAG over documents with hybrid retrieval; multi-tenant SaaS semantic search; and product and content recommendation.

Is Vespa or Weaviate more popular?

Weaviate ranks #65 on the WhichDB Score (33.4/100) and Vespa ranks #127 (23.8/100). Popularity is not fit: check the requirements that matter for your project.

Are Vespa and Weaviate open source?

Yes. Vespa is open source. License: Apache License 2.0. Yes. Weaviate is open source. License: BSD-3-Clause (core); enterprise features under the Weaviate License.