Upstash Vector
Vector Databases & Retrieval Infrastructure
Last updated · Compiled from public sources with automated enrichment
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Serverless vector database from the Upstash Redis/Kafka team.
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- Category
- Vector Databases & Retrieval Infrastructure
- Founded
- —
- Status
- Active
- Open source
- No
- Pricing
- Freemium
- Funding stage
- Unknown
- Total raised
- —
- Popularity
- Steady
- Modality
- Infrastructure
- GitHub stars
- —
Relationships
3 of 4 confirmed by two independent sources, 1 under review · 1 backed by a published source.
competes with4
- ChromaUpstash Vector competes with Chroma for LLM application embeddings.
- PineconeUpstash Vector competes with Pinecone in managed serverless vector search.
- QdrantUpstash Vector competes with Qdrant in vector database infrastructure.
- WeaviateUpstash Vector competes with Weaviate in managed vector retrieval.
References
Published sources supporting the relationships above.
- Upstash Vector Database - Agno
unknown publisher · supports Upstash Vector competes with Chroma
More in Vector Databases & Retrieval Infrastructure
- ChromaOpen-source embedding database designed for LLM applications.
- Elastic / ElasticsearchWidely used search engine with vector/hybrid search support.
- LanceDBEmbedded, serverless vector database built on the Lance data format.
- MarqoEnd-to-end vector search engine combining embeddings and retrieval.
- MongoDB Atlas Vector SearchVector search built into MongoDB's managed Atlas platform.
- Neo4jLeading graph database, also supports vector indexes for GraphRAG.
- OpenSearchOpen-source search and analytics suite, an Elasticsearch fork, with vector search.
- PineconeManaged vector database purpose-built for similarity search at scale.
- QdrantOpen-source vector database written in Rust, focused on performance.
- Redis (vector search)In-memory database with vector search capabilities for RAG use cases.
- SingleStoreDistributed SQL database with native vector search support.
- TileDBUniversal database engine supporting vector search on multi-dimensional data.