Find 16 Best Vector Database Software with Dashboard in August 2026

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 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 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 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 turbopuffer?

turbopuffer is a search engine that stores indexes on object storage rather than attached disks, which changes the cost profile substantially for large but infrequently queried corpora — you pay storage rates for cold data instead of provisioned memory. It supports vector similarity and ...

What is Marqo?

Marqo handles embedding generation and vector search in one system, so documents and queries are vectorised by the engine rather than by a separate pipeline the team maintains. It supports text and image search with multimodal models, and is positioned strongly around ecommerce product ...

What is Typesense?

Typesense is an open-source search engine positioned as a simpler alternative to Elasticsearch, with typo tolerance and fast faceted search out of the box, and support for vector and hybrid search alongside keyword matching. It is designed to be operable without a dedicated search team — ...

What is Meilisearch?

Meilisearch is an open-source search engine focused on developer experience and instant results, with typo tolerance, faceting and, more recently, hybrid search that blends keyword relevance with vector similarity. It is designed to be integrated quickly and tuned through simple ranking rules ...

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, ...

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 Redis?

Redis supports vector similarity search alongside its established role as an in-memory data store, cache and message broker, using HNSW and flat indexes with hybrid filtering on metadata. Because the vectors sit in memory, query latency is very low, and teams already running Redis avoid ...

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 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 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 Rockset?

Rockset is the ultimate solution for building data-driven apps at lightning speed. Our four-step process simplifies the entire workflow. In the first step, we integrate real-time data streams, lakes, warehouses, and databases, including various formats like XML, CSV, Parquet, and JSON. Then, ...