Trinity Graph Engine Alternatives
Trinity Graph Engine is described as 'Graph Engine (GE) is a distributed, in-memory, large graph processing engine, underpinned by a strongly-typed RAM store and a general computation engine'. There are more than 10 alternatives to Trinity Graph Engine, not only websites but also apps for a variety of platforms, including Linux, Mac, Windows, Self-Hosted solutions and Python. The best alternative is Wikibase, which is both free and Open Source. Other great sites and apps similar to Trinity Graph Engine are ArangoDB (Free, Open Source), neo4j (Free, Open Source), Titan Database (Free, Open Source) and RedisGraph (Free, Open Source).
- Wikibase is the software that runs Wikidata, but is also usable for other projects beyond that. Wikibase allows the collaborative editing of structured data on top of MediaWiki. It is optimized for graph-like, schema-poor data, not for tabular and strongly pre-structured data.No screenshots yet
- ArangoDB database is an open-source NoSQL solution with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient sql-like query language or JavaScript extensions.
- Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster.
- Free • Open Source
- Mac
- Windows
- Linux
No screenshots yet - RedisGraph is a property graph database module for Redis. It is the first graph database to use linear algebra on sparse adjacency matrices to implement graph operations, which lets it achieve high performance. It understands OpenCypher queries.No screenshots yet
- Bitsy is a small, fast, embeddable, durable in-memory graph database that implements the Blueprints API. It supports ACID transactions with optimistic concurrency control and on-disk persistence.No screenshots yet
- An embedded transactional graph engine for Python.No screenshots yet
- Nebula Graph is an open-source graph database capable of hosting super large-scale graphs with billions of vertices (nodes) and trillions of edges, with milliseconds of latency.No screenshots yet
- The Document-Graph database, SQL and Native Queries, asynchronous commands, intents, and much more. OrientDB is "fast" ( storing 220,000 records per second on common hardware ).