Weaviate
Open-source vector database
About Weaviate
Weaviate is an open-source vector database designed for AI-native applications. Founded in 2019 in Amsterdam, Weaviate enables developers to store, search, and manage vector embeddings alongside traditional data, making it a unified database for both structured queries and semantic AI search.
Weaviate differentiates from Pinecone with its open-source model and hybrid search capabilities — combining vector similarity search with traditional keyword (BM25) search in a single query. The database includes built-in vectorization modules that automatically generate embeddings from text, images, and other data types, eliminating the need for separate embedding pipelines.
The company serves a mix of enterprises and developers who prefer the flexibility and transparency of an open-source solution. Weaviate Cloud provides a managed service for production deployments.
Products & Services
Weaviate Database
Open-source vector database with hybrid search (vector + keyword). Built-in vectorization from text, images, and more.
Open SourceWeaviate Cloud
Managed vector database service. Production-ready with high availability and automatic scaling.
Cloud ServiceWeaviate Embedded
Embedded vector database that runs in-process. No separate server needed for development and small deployments.
Developer ToolLeadership
Notable Achievements
- ✓ Most popular open-source vector database
- ✓ Hybrid search combines vector and keyword matching in single queries
- ✓ Built-in vectorization eliminates separate embedding pipelines
- ✓ Named a Gartner Cool Vendor in data management
- ✓ Used by StackOverflow, Red Hat, and Instabase
Competitive Landscape
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