Nodedb

NodeDB is a universal database engine that combines vector search, property graph, document, columnar, key-value, full-text search, and sparse array storage into a single system with shared storage and zero network hops. It aims to eliminate the need for teams to manage multiple databases like PostgreSQL, Redis, Neo4j, Elasticsearch, and TileDB separately. Built for AI product teams, data engineers, and SaaS builders, NodeDB supports standard SQL for cross-engine queries, as well as engine-specific operations like vector similarity search, graph algorithms, BM25 full-text search, and bitemporal queries. Under the hood, NodeDB uses a unified storage engine with modular query execution. It integrates with the PostgreSQL wire protocol (pgwire), HTTP API, Redis RESP protocol, and offers native client libraries for Rust and Python. The system includes built-in features for multi-tenancy (RLS, RBAC, audit logging), CRDT-based offline sync, and cluster replication via Multi-Raft. What sets NodeDB apart is its ability to merge multiple database paradigms into a single planner. Users can write SQL that joins vector search results with relational data, or fuse BM25 and vector scores using Reciprocal Rank Fusion, all within one query. This eliminates the need for glue code, dual writes, and cross-service joins. NodeDB is currently in early access; the vendor emphasizes that it replaces the combination of PostgreSQL + pgvector + Redis + Neo4j + ClickHouse + Elasticsearch. However, it's an early-stage product—teams should expect limited ecosystem and maturity compared to established single-purpose databases.