Neo4j vs OrientDB: What are the differences?
Developers describe Neo4j as "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. On the other hand, OrientDB is detailed as "An open source NoSQL database management system". It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.
Neo4j and OrientDB are primarily classified as "Graph Databases" and "Databases" tools respectively.
Neo4j is an open source tool with 6.73K GitHub stars and 1.65K GitHub forks. Here's a link to Neo4j's open source repository on GitHub.
Medium, Movielala, and Hinge are some of the popular companies that use Neo4j, whereas OrientDB is used by Acadar, Bright Power, and GittiGidiyor. Neo4j has a broader approval, being mentioned in 154 company stacks & 277 developers stacks; compared to OrientDB, which is listed in 10 company stacks and 5 developer stacks.
What is Neo4j?
What is OrientDB?
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What are the cons of using OrientDB?
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What tools integrate with OrientDB?
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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)?
- does it support faceted search?
Multi-model DB: document (JSON), graph, key-value, text, geospatial, binary, reactive, SQL
TO BE EVALUATED