Everything You Need to Know About the Features of Neo4j Database
Posted By : Pankaj Kumar Yadav | 26-Dec-2017
Neo4j database encourages effective implementation into the Property Graph Model to the storage level. Unlike, to in-memory libraries or graph processing, this database provides characteristics of full database including runtime failover, ACID transaction compliance, and cluster support. This makes it highly preferable for using graph data when it comes to production scenarios.
Know here what special features of Neo4j makes this database highly popular among DBAs, users and developers- invaluable
Relationship materialization at the time of creation; with Neo4j there are no penalties for the runtime queries of complex nature.
Neo4j’s relationships are equally competent and important. This makes it possible for the new relationships to materialize and use “shortcut” later on for speeding up the data.
Constant time traversals in the graph for relationships both in breadth and in depth due to effective representation of relationships and nodes
Written on the JVM
Compact memory and storage of Neo4j is great for graphs caching, offering the benefit of billions of nodes and efficient scale-up on moderate hardware in one database
The improvements in Neo4j’s Cypher delivers support and cost-based optimizer for index-based string queries, parallel indexes, speedier join queries and global aggregation.
Today, countless organizations and companies belonging to diverse industries use Neo4j. Use cases include network management, matchmaking, scientific research, software analytics, project and organizational management, routing, social networks, recommendations, and more.
About the latest release
Pankaj Kumar Yadav
Pankaj has been working as a Grails developer expertise in struts, spring, ejb, hibernate and angularjs framework.