Neo4j – World’s Leading Graph Database Connect the Data, and Revamp Your Business

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Neo4j adapts easily into the changing requirements, and is prominent as a natural way of forming data. It makes easy to analyze data by the use of graphs in near real-time for online systems.

A little different from the other relational databases, Neo4j is an open source and enterprise-grade graph database, which was first deployed in 2003. Apart from having a little strange name as compared to other softwares, Neo4j is by far the topmost and leading graph database, witnessing active developments, opens-source operations, lively community, and a numerous number of commercial successes.

Not only diverse from the relational databases, the data model of the neo4j is also fundamentally different from the denormalised aggregate stores, although being the part of NoSQL space. To keep intact the key-value pairs, data is stored in nodes, edges, or attributes in the neo4j, which are consecutively linked through relationships. The nodes and the edges of the neo4j can be labeled, as labeling is useful in narrowing down the searching areas with the help of the labels. The previous version of the neo4j used to support the node indexing technique, which is no more an important part in the latest version.

The key characteristics of neo4j:

» Commercial and open source licensing.

» Compatible for many web use cases such as social networks, metadata annotations, tagging, wikis and other hierarchical or network-shaped data sets.

» A responsive and active email list, upright documentation, good buzz, and quite a few releases.

» A flexible graph network comprising of nodes, relationships and properties.

» An instinctive graph-oriented model representing data. Rows and columns are used Instead of stationary and inflexible tables.

» Neo4j is a disk based graph database. This native storage manager is entirely optimized for accumulating graph structure for scalability and high performance. SSD Ready.

» Language obligation for Jython, Python, Clojure, and Ruby. .NET has been not yet in the list of language obligations. A REST interface is required to access.

» Neo4j can hold graphs of quite a lot of billion nodes/relationships/properties on a solo machine.

» Dominant traversal framework for speedy traversals in the node space.

» Recurrently do better than relational backend.

» Neo4j is a distinct <500k jar relied on the Java Transaction API.

» Trouble-free and expedient object-oriented API.

» Missing some common graph calculations, like finding a common friend for a set of users in a social networking site.

» Neo4j passes through depths of 1000 levels and beyond in a speed of milliseconds. This is faster than any relational system.

» Supports JTA/JTS, 2PC, Tx, XA, recovery, deadlock detection, etc.

» No events or triggers. They will possibly be released in the future versions.

» No slicing or sharding

» Graphs are indigenous to a graph database, and hence there is no need to compress an object graph.

» Separate data and logic with a more “likely” representation than tables.

Neo4j adapts easily into the changing requirements, and is prominent as a natural way of forming data. It makes easy to analyze data by the use of graphs in near real-time for online systems. Moreover, it is similarly deployed to a great extent in the startups, and in large enterprises as well. The Neo technology has also emphasized highly on the user interface to make it trouble-free and accessible.

Kosntant Infosolutions has also adopted the Neo technology very efficiently in its framework of graphical interface to deliver excellent web and mobile app development services to its clients.

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About Author

Manish Jain

Manish Jain is the co-founder and Managing Director at Konstant Infosolutions. He is responsible for the overall operations of the company and has played a major role in bringing Konstant up from its humble beginnings and, with his immense energy and drive, transforming it into a globally trusted name in IT solutions.

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