vs

Pinecone vs Weaviate

Pinecone: Fully managed serverless vector database with built-in embedding, reranking and assistants. Weaviate: Open-source AI-native vector database with hybrid search, modules for embeddings and multi-tenancy.

key differences

  • Licensing: Pinecone is proprietary (Proprietary SaaS); Weaviate is open source (permissive) (BSD-3-Clause (core); enterprise features under the Weaviate License).
  • Only Pinecone has encryption at rest.
  • Only Weaviate has full-text search, geospatial, compression.
  • Pinecone has a serverless option; Weaviate does not.

choose pinecone for

  • +RAG over company documents
  • +Semantic search in SaaS products
  • +Recommendation and similarity lookups
  • +Multi-tenant AI apps with per-customer namespaces

best at · 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
Vector
Vector
Also supports
–
Document, Search Engine
Type
Managed service
Database engine
Status
Active
Active
Developer
Pinecone Systems, Inc.
Weaviate B.V.
First release
2021
2019
Latest version
–
1.40.2 (Oct 22, 2026)
License
ProprietaryProprietary SaaS
Open source (permissive)BSD-3-Clause (core); enterprise features under the Weaviate License
Free tier
✓
✓
popularity
WhichDB Score
15.5
33.4
Rank
#213
#65
GitHub stars
–
16.9K
Stack Overflow questions
116
160
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
None
None
Consistency
Eventual
Tunable, Eventual
Schema
Schemaless
Flexible
Architecture
Serverless, Distributed, Shared storage
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
Pinecone API (metadata filter expressions)
GraphQL, Weaviate query API
Client languages
Python, JavaScript, Java, Go, .NET, Rust
Python, TypeScript, Go, Java, C#
Best for
Vector search, RAG
Vector search, RAG, Search

Pinecone vs Weaviate: FAQ

What is the difference between Pinecone and Weaviate?

Pinecone: Fully managed serverless vector database with built-in embedding, reranking and assistants. Weaviate: Open-source AI-native vector database with hybrid search, modules for embeddings and multi-tenancy. Licensing: Pinecone is proprietary (Proprietary SaaS); Weaviate is open source (permissive) (BSD-3-Clause (core); enterprise features under the Weaviate License). Only Pinecone has encryption at rest. Only Weaviate has full-text search, geospatial, compression.

When should I choose Pinecone over Weaviate?

Choose Pinecone for RAG over company documents; semantic search in SaaS products; and recommendation and similarity lookups. Choose Weaviate for RAG over documents with hybrid retrieval; multi-tenant SaaS semantic search; and product and content recommendation.

Is Pinecone or Weaviate more popular?

Weaviate ranks #65 on the WhichDB Score (33.4/100) and Pinecone ranks #213 (15.5/100). Popularity is not fit: check the requirements that matter for your project.

Are Pinecone and Weaviate open source?

No. Pinecone is proprietary, closed-source software. Yes. Weaviate is open source. License: BSD-3-Clause (core); enterprise features under the Weaviate License.