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ClickHouse is an open-source column-oriented database that supports vectorized computation and now offers vector search features. Its architecture enables efficient real-time analytics and vector operations, making it a relevant choice for vector database use cases.
LanceDB is a columnar vector database optimized for real-time AI use cases and analytics workloads, providing efficient vector storage and fast similarity search.
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.
SingleStore (also known as SingleStoreDB) is a real-time data platform offering integrated vector search capabilities for building intelligent applications with high-throughput requirements. It is a relational database platform with built-in support for vector search, enabling high-performance similarity queries alongside structured SQL-based analytics.
Trieve provides an all-in-one infrastructure for vector search, recommendations, retrieval-augmented generation (RAG), and analytics, accessible via API for seamless integration.
Vespa.ai is a scalable open-source platform for real-time big data serving and vector search. It supports vector similarity search and is used for applications like retrieval augmented generation and e-commerce search, making it highly relevant for vector database and vector search use cases.
ChromaDB (also known as Chroma or chroma-core) is an open-source vector database focused on LLM applications, emphasizing simplicity and in-memory HNSW-based dense vector search. It is suited for prototyping, metadata filtering, and offers a user-friendly interface for building and testing vector search applications, though it currently lacks hybrid and distributed features.
ClickHouse is an open-source, column-oriented database management system (DBMS) designed for online analytical processing (OLAP) and real-time analytics. It is optimized for high performance and efficient use of system resources, making it suitable for scenarios that require fast data ingestion and querying, including analytics, machine learning, observability, and more.
open-source, analytics, vector-search, real-time
vector-database-engines