Qwak Vector Store

HAKES is a system designed for efficient data search using embedding vectors at scale, making it a relevant solution for vector database applications.

Milvus Distributed is a horizontally scalable, distributed deployment of the Milvus vector database designed for enterprise workloads, offering high reliability and the ability to handle billions of vectors with a comprehensive management toolkit.

A multi-model AI database designed for high-throughput vector processing at scale, supporting real-time AI use cases with a patented Hybrid Memory Architecture and efficient infrastructure usage, capable of handling large volumes of data and concurrent users.

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.