Sparsity graph technology solutions
We provide high-end technology solutions to improve your development to a more competitive customer offer Graph technology to push your business We provide high-end technology solutions to improve your development to a more competitive customer offer Graph Database | Sparksee Leveraging our proprietary graph technology, *Sparksee, which can be embedded into any device, we provide robust and secure
Graph Engine
Graph Engine# = RAM Store + Computation Engine + Graph Model Graph Engine (GE) is a distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine. The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access p
An Introduction to Tinkerpop
The document provides examples of using the TinkerGraph graph database and Gremlin traversal language. It shows how to: 1) Create a TinkerGraph, add vertices and edges, and get basic graph information and elements. 2) Perform common traversals in Gremlin such as getting vertex neighbors, paths, filtering, transforming properties, and looping through connections. 3) Demonstrate more complex multi-s
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GitHub - levelgraph/levelgraph: Graph database JS style for Node.js and the Browser. Built upon LevelUp and LevelDB.
GitHub - jQAssistant/extended-objects: eXtended Objects - Lightweight and flexible datastore mapping of Java domain objects
GitHub - cayleygraph/cayley: An open-source graph database
GitHub - twitter-archive/flockdb: A distributed, fault-tolerant graph database
