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Vector DBFreeOpen Source
OCEANBASE
Distributed SQL database with vector search
Apache-2.0
ABOUT
AI applications often need to manage both structured relational data and unstructured vector embeddings, leading to architectural complexity with separate databases for each workload. OceanBase combines distributed SQL processing with native vector similarity search, so developers can store transactional data, run analytical queries, and perform vector-based retrieval within a single, horizontally scalable database engine that tolerates node failures without data loss.
INTEGRATION GUIDE
1. Store and query product catalogs with both structured attributes and vector embeddings for semantic search recommendations
2. Power AI application backends that need transactional consistency for user data alongside vector similarity search for RAG
3. Replace multi-database architectures with a single distributed SQL engine that handles both OLTP and vector workloads
4. Build geo-distributed AI services that require low-latency vector search across multiple regions with automatic failover
TAGS
distributed-databasesqlvector-searchrelational-databasehigh-availability