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🥑 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 graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
Object-storage native graph database with branching and typed ontology
AgensGraph, a high performance transactional graph database based on PostgreSQL
EliasDB a graph-based database.
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.
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
One database for user-user (follows), user-item (likes), and item-item (related items) interactions — precomputed at write time, served as simple lookups
VivaceGraph. Open source Common Lisp graph database & Prolog implementation.
A pure JavaScript implementation of TinkerPop's TinkerGraph in-memory graph database
TinkerPop 3 implementation on Elasticsearch backend