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A relational database engine extended with native vector search capabilities, allowing for scalable and efficient similarity search in combination with SQL queries.
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.
Apache Cassandra is a distributed NoSQL database that is adding native support for high-dimensional vector storage and approximate nearest neighbor search, making it a scalable choice for AI and vector search workloads.
AstraDB (also known as Astra DB by DataStax) is a cloud-native vector database built on Apache Cassandra, supporting real-time AI applications with scalable vector search. It is designed for large-scale deployments and features a user-friendly Data API, robust vector capabilities, and automation for AI-powered applications.
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.
Datastax offers a vector search solution integrated with its database platform, enabling approximate similarity search and hybrid queries for enterprise use cases.
Category: Vector Database Engines
Source: https://github.com/myscale/myscaledb
MyScale is a fork of ClickHouse that extends the original analytical database with high-performance vector search and full-text search capabilities. It is designed to enable scalable and efficient similarity search in combination with SQL queries, making it suitable for building AI and GenAI applications that require both structured and vector data management.
vector-search sql scalable hybrid-search