Apache TinkerPop grows when 3rd party data systems and query languages utilize it. While Apache's distribution of TinkerPop does provide production ready implementations and tools, it is ultimately the larger ecosystem of providers that ensure TinkerPop's widespread adoption. There are two types of providers. The first are those that develop a (graph) database, (graph) processor, or (graph) analytics tool and want to offer their users TinkerPop-specific graph computing features. The other type of provider are language designers that have a (graph) query language they wish to have execute on the Gremlin traversal machine and thus, against any TinkerPop-enabled graph system.
Learn MoreApache TinkerPop is always looking to point users to graph systems that are TinkerPop-enabled. Please read Apache TinkerPop's provider listing policy for adding new projects to the listing below. The listing is intended to help users identify TinkerPop-enabled graph systems and does not constitute an endorsement by Apache TinkerPop nor the Apache Software Foundation.
A massively scalable, high-performance graph database for the property graph model
A real-time, reliable, cloud-native graph database service that supports property graph model.
Fully-managed graph database service.
Multi-Model Database Supporting Graphs, Key/Value, Documents and Time-Series.
OLTP Provider for ArangoDB.
A small, fast, embeddable, durable in-memory graph database.
RDF graph database with OLTP support.
Microsoft's distributed OLTP graph database.
A versioned graph database.
DataStax graph database with OLTP and OLAP support.
OLAP graph processor using Spark.
OLTP graph database running on Apache HBase.
Fully-managed, distributed, at-scale graph query and analysis service that provides a visualized interactive analytics platform.
A high-speed, distributed and scalable OLTP and OLAP graph database with visualized analytics platform.
Graph database using IBM® Db2®.
Distributed OLTP and OLAP graph database with BerkeleyDB, Apache Cassandra and Apache HBase support.
OLTP graph database (embedded and high availability).
OLTP graph database
In-memory graph database with low memory footprint
Query tablular data (Iceberg, Hive, MySQL, etc) as a graph.
OLTP graph database running on Apache HBase.
OLTP implementation on SQL databases.
RDF graph database with OLTP and OLAP support.
Combined OLTP and OLAP features in a single enterprise-grade database.
In-memory OLTP and OLAP reference implementation.
OLTP Elasticsearch and JDBC backed graph.
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