MVCC Vector Indexing

Indexing strategy where vector indexes are stored in the same partitions as corresponding table rows, ensuring data locality and operational advantages in distributed databases.

Configuration options in distributed vector databases that trade off between data consistency, availability, and performance. Critical for understanding read/write behavior in production systems with replication.

Distributed NoSQL database with vector search capabilities via Storage-Attached Indexes (SAI) in Cassandra 5.0+. Uses Lucene HNSW for approximate nearest neighbor search. This is an OSS database under Apache 2.0 license.

Milvus Distributed is the cluster mode of the scalable open-source vector database for AI embeddings search, supporting HNSW, IVF, and NGT indexes in high-availability distributed setups. It provides GPU support, billion-scale capacity, real-time upsert/query capabilities, and multi-modal vector handling. Suited for RAG, recommendations, and image/video search at enterprise scale. Self-hosted unlike Pinecone's managed offering, and more ANN-centric than Weaviate.

Open-source distributed SQL database with integrated vector search for storing embeddings alongside relational data, offering strong SQL-based filtering, hybrid search, and high scalability for production RAG and AI applications.

Distributed vector engine for embedding similarity search.