Neo4j Graph DB
Neo4j: The World’s Leading Graph Database
High Performance Queries
A graph data model which enables high performance queries on the complex, connected data inherent in today’s applications. It can traverse complex graphs with improvements of 1000x or more compared to SQL and other NOSQL databases.
If you can whiteboard, you can design a graph database. The graph data model simplifies application development. Enterprises can quickly capture all kinds of data – structured, semi-structured, and unstructured – and easily store it in Neo4j. This results in shorter development times, lower maintenance costs and higher performance.
Real ACID Transactions
Mature support for transactions so that enterprise developers can execute “all or nothing” transactions. Although this is a must-have for relational databases, none of the other NOSQL databases can do this. Neo4j supports full ACID transactions including XA-compliant distributed two-phase commits.
While supporting all of the leading development platforms, (Ruby, Python, Groovy, Gremlin, etc) Neo4j began in Java and will always be easily accessible and available for Java, the most widely used development environment in the enterprise.
Best NOSQL database for Spring
Spring Data Neo4j enables POJO-(Plain Old Java Object) based development for graph databases like Neo4j. For more information go to spring.neo4j.org.
Try Neo4j. It’s easy to get started.
Video: Getting Started with Neo4j
- Overview of NOSQL
- Why graphs matter
- Overview of Neo4j
- Use cases for graph databases
Andreas Kollegger is a leading speaker and writer on graph databases and Neo4j, and the bridge between community and developer efforts. He works actively in the community, appearing at meetups around the world and helping promote the larger Neo4j ecosystem of projects. Author of Fair Trade Software, and the lead for Neo4j in the cloud, Andreas plays a valuable role for progressive happenings within Neo4j.
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