Top 10 Redis Alternatives 2026

What is Upstash Vector?

Upstash Vector is a serverless vector database billed per request rather than per provisioned instance, with no cluster to size or keep running. It supports metadata filtering, namespaces and hybrid search, and includes built-in embedding models so vectors can be generated at write time. The ...

What is MongoDB Atlas Vector Search?

Atlas Vector Search adds approximate nearest-neighbour search to MongoDB Atlas, so embeddings are stored as fields on the documents they describe and queried through the standard aggregation pipeline. Vector similarity, document filters and joins compose in one query, and there is no second ...

What is Milvus?

Milvus is an open-source vector database designed for large-scale similarity search, handling billions of vectors across distributed clusters. It supports multiple index types including HNSW, IVF and DiskANN so teams can trade recall against memory and latency, and offers hybrid search ...

What is LanceDB?

LanceDB is a vector database built on the Lance columnar format, designed to run embedded in an application or over object storage rather than as a separate cluster. It stores vectors alongside the source data — text, images, video — so retrieval returns the record rather than an ID to look up ...

What is Vespa?

Vespa is a search and recommendation platform that handles vector search, text search and structured filtering in one query, with a tensor model that supports ranking logic well beyond nearest-neighbour lookup. Originally built at Yahoo, it is designed for serving large corpora with low latency ...

What is pgvector?

pgvector adds vector storage and similarity search to PostgreSQL as an extension, so embeddings live in the same database as the relational data they relate to. That removes the operational burden of running a second datastore and lets a single SQL query filter on business columns and rank by ...

What is Deep Lake?

Deep Lake from Activeloop stores vectors together with the underlying data — images, video, audio, text — in a format designed for machine learning workflows, supporting version control over datasets and streaming to training jobs. Its distinguishing idea is treating the vector index and the ...

What is Azure AI Search?

Azure AI Search combines vector similarity, keyword search and a semantic reranking layer in one managed service, with built-in document cracking and chunking so files can be indexed without a separate ingestion pipeline. It integrates closely with Azure OpenAI for embedding generation and ...

What is Vertex AI Vector Search?

Vertex AI Vector Search is Google Cloud's managed nearest-neighbour service, derived from the ScaNN algorithm developed by Google Research and built for indexes running into billions of vectors with low query latency. It handles index building, sharding and serving, and integrates with Vertex ...

What is ClickHouse?

ClickHouse is a columnar analytical database that also supports vector similarity search through distance functions and approximate nearest-neighbour indexes, letting teams run vector retrieval alongside large-scale analytical queries in one system. It is not a purpose-built vector database, ...