A scalable, distributed, collaborative, document-graph database, for the realtime web
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A scalable, distributed, collaborative, document-graph database, for the realtime web
high-performance graph database for real-time use cases
An open-source graph database
🥑 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.
A distributed, fast open-source graph database featuring horizontal scalability and high availability
JanusGraph: an open-source, distributed graph database
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.
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
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.
Graph is a semantic database that is used to create data-driven applications.
One database for user-user (follows), user-item (likes), and item-item (related items) interactions — precomputed at write time, served as simple lookups