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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.
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.
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.
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.
Google Cloud Platform offers vector search as part of its Vertex AI suite, enabling scalable and integrated vector search capabilities for AI-driven applications.
KDB is a high-performance vector database supporting billion-scale vector search, with features aimed at enterprises needing large-scale vector storage and retrieval.
Category: Vector Database Engines
Tags: nosql, distributed, vector-search, scalable
Website: https://cassandra.apache.org/
Apache Cassandra is an open source, distributed NoSQL database designed for scalability, high availability, and fault tolerance. It is trusted by thousands of companies to manage massive amounts of data without compromising performance. Recent developments include native support for high-dimensional vector storage and approximate nearest neighbor search, making it suitable for AI and vector search workloads.
fqltool allow for workload analysis.Apache Cassandra is open source and free to use under the Apache License 2.0.