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Elasticsearch is a distributed search engine supporting various data types, including vectors, and provides scalable vector search capabilities, making it a popular choice for modern AI-powered applications. It can be extended with the k-NN plugin to provide scalable vector search using HNSW and Lucene, enabling hybrid semantic and keyword search capabilities.
A distributed vector database designed for scalable and efficient vector similarity search. It is purpose-built for handling large-scale vector data and search workloads.
Milvus is a mature, open-source vector database maintained by Zilliz, supporting large-scale similarity search with multiple indexing strategies and GPU acceleration. It includes variants such as Milvus Lite (lightweight version), Milvus Standalone (single-machine deployment), and Milvus Distributed (Kubernetes-based deployment for large scale).
A relational database engine extended with native vector search capabilities, allowing for scalable and efficient similarity search in combination with SQL queries.
OpenSearch is a fully open-source, community-driven search and analytics suite that supports vector search, providing a transparent and flexible alternative for organizations seeking advanced search features.
Orama is a lightweight search engine that supports vector and hybrid search functionalities, suitable for browser, server, or edge environments.
Elasticsearch is an open source, distributed, RESTful search and analytics engine, scalable data store, and vector database. It is at the core of the Elastic Stack and is widely used for a range of search, analytics, and monitoring applications.