Graph Engine vs Neo4j: What are the differences?
Graph Engine: RAM Store + Computation Engine + Graph Model (by Microsoft). 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 power over a large distributed data set; Neo4j: The world’s leading Graph Database. Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
Graph Engine and Neo4j belong to "Graph Databases" category of the tech stack.
Graph Engine and Neo4j are both open source tools. Neo4j with 6.6K GitHub stars and 1.63K forks on GitHub appears to be more popular than Graph Engine with 1.75K GitHub stars and 249 GitHub forks.
What is Graph Engine?
What is Neo4j?
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What are the cons of using Graph Engine?
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Neo4j is a great graph database, but it's also a great tool for any application in general. The data model is easy to figure out and is flexible to use as your application changes in the early stages. Further, there are constraints you can add to get data consistency once you have a firm data model. The built in admin tool makes it easy to review the data, see how your application is being used, and has a great query plan visualizer for when you want to optimize for performance.
To be evaluated
- + Leading Graph DB provider, large community
- + Rich querying language
- + Tools to visualise and interact visually with results
Possible alternative to triple store.
- does it support full text search?
- does it support some sort of inference or derived relationships (e.g. transitivity, symmetry)?