🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
Gel supercharges Postgres with a modern data model, graph queries, Auth & AI solutions, and much more.
OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi-Master), supports SQL, ACID Transactions, Full-Text indexing and Reactive Queries.
Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
- database
- graph
- client-server
- cross-platform
AgensGraph, a high performance transactional graph database based on PostgreSQL
EliasDB a graph-based database.
- golang
- graph
- embedded
- supports-transactions
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.
- bolt
- cypher
- database
- enterprise-solutions
Graph is a semantic database that is used to create data-driven applications.
Embedded transactional database for blobs, documents & graphs, with kernel-bypass NVMe through io_uring & SPDK, GPU compaction, and one C ABI over its own, RocksDB & LevelDB engines 🗄️
One database for user-user (follows), user-item (likes), and item-item (related items) interactions — precomputed at write time, served as simple lookups
JavaScript tools for graph processing in Node.js and the browser inspired by the Apache TinkerPop API