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Fully managed graph database service on AWS supporting both Gremlin and openCypher, with high‑availability and seamless integration with other AWS services.
Globally distributed, multi‑model database offering a Gremlin API for graph workloads, with turnkey scaling and low‑latency reads/writes.
#4 ArangoDB
Native multi‑model database that combines graph, document, and key‑value data models, with AQL query language and a flexible schema.
#5 TigerGraph
High‑performance, distributed native graph database built for real‑time analytics and deep link analysis, featuring GSQL query language.
#6 JanusGraph
Open‑source, scalable graph database that runs on top of storage back‑ends like Cassandra, HBase, or BerkeleyDB, and uses Gremlin for queries.
#7 OrientDB
Multi‑model DBMS supporting graph, document, key‑value, and object models, with SQL‑like query language and ACID transactions.
#8 Dgraph
Distributed, native graph database with GraphQL‑compatible query language, built for low‑latency queries at massive scale.
Enterprise‑grade RDF triplestore optimized for semantic graph queries, supporting SPARQL and reasoning capabilities.
#10 Blazegraph
High‑performance RDF graph database offering SPARQL 1.1 support, suitable for knowledge‑graph and linked‑data applications.
#11 RedisGraph
Graph module for Redis that adds Cypher‑compatible query capabilities on top of Redis' in‑memory speed.
#12 Memgraph
Real‑time, in‑memory graph database with Cypher support, designed for high‑throughput analytics and streaming data.
#13 AllegroGraph
Enterprise RDF graph database with advanced reasoning, geospatial, and temporal features, used for knowledge‑graph and AI workloads.
#14 Cayley
Open‑source graph database from Google, written in Go, supporting Gremlin, MQL, and GraphQL query interfaces.
#15 Nebula Graph
Scalable, distributed native graph database with its own nGQL query language, optimized for large‑scale social and recommendation systems.
#16 Anzo Graph
Enterprise knowledge graph platform offering RDF storage, SPARQL querying, and AI‑ready data integration.
High‑performance, in‑memory distributed graph processing engine for large‑scale analytics, used internally at Microsoft.
#18 InfiniteGraph
Enterprise‑grade, distributed graph database designed for complex relationship queries across massive data sets.
Hybrid relational‑graph database supporting SQL, SPARQL, and RDF, suitable for linked‑data and data‑virtualization scenarios.
#20 Stardog
Enterprise knowledge graph platform that combines RDF storage, reasoning, and a unified query engine (SPARQL + GraphQL).
#21 Kùzu
Modern, high‑performance graph database written in C++, offering a Cypher‑compatible query language and built‑in analytics.