Compare IBM Graph and Neo4j Graph Database 
- Users report that Neo4j Graph Database excels in its Ease of Setup with a score of 8.8, making it a preferred choice for small businesses looking for a quick implementation, while IBM Graph lacks a score in this area, indicating potential challenges in initial setup.
- Reviewers mention that IBM Graph shines in Ease of Use with a score of 9.0, suggesting that its interface and user experience are more intuitive compared to Neo4j's score of 8.2, which some users find less user-friendly.
- G2 users highlight that Neo4j's Product Direction is rated highly at 9.0, indicating strong confidence in its future development and features, whereas IBM Graph's score of 4.2 raises concerns about its long-term viability and innovation.
- Users on G2 report that Neo4j offers better Data Model capabilities with a score of 7.7, which is crucial for complex data relationships, while IBM Graph does not provide a score, suggesting it may not be as robust in this area.
- Reviewers say that IBM Graph provides superior Quality of Support with a score of 9.0, indicating that users feel more supported and satisfied with their service, compared to Neo4j's score of 8.5.
- Users say that Neo4j's Data Replication features are more advanced, allowing for better data consistency and availability, while IBM Graph's lack of specific ratings in this area suggests it may not meet the same standards.
- Get started with IBM Graph by enjoying 500 MB of free data storage, and 25,000 API calls free per month.
- console.neo4j.io
We needed a tool to create professional and accurate flow charts for all types of data from out team. Creating those tasks with IBM Graph was a breeze. Easy to use, lot of features, and very powerful for huge data compilation.
Need technical knowledge or expertise resource. Can be difficult to model and query complex relationships Challenge is having in the migration which is migrate existing data to IBM graph Limited support for very large graphs and Limited...
I started using Neo4J to represent various facilities ( of a startup that I work at) across the city as nodes and represent their relationships in terms of mode of commute available and the associated costs. The brilliant thing about Neo4J, or graph DB...
The tooling itself was an issue. We used the neo4j ruby bindings to create an embedded neo4j database in rails. This required us to use jruby instead of regular ruby. Using jruby created a lot of other issues with compatibility with the various gems out...
We needed a tool to create professional and accurate flow charts for all types of data from out team. Creating those tasks with IBM Graph was a breeze. Easy to use, lot of features, and very powerful for huge data compilation.
I started using Neo4J to represent various facilities ( of a startup that I work at) across the city as nodes and represent their relationships in terms of mode of commute available and the associated costs. The brilliant thing about Neo4J, or graph DB...
Need technical knowledge or expertise resource. Can be difficult to model and query complex relationships Challenge is having in the migration which is migrate existing data to IBM graph Limited support for very large graphs and Limited...
The tooling itself was an issue. We used the neo4j ruby bindings to create an embedded neo4j database in rails. This required us to use jruby instead of regular ruby. Using jruby created a lot of other issues with compatibility with the various gems out...
