Loading...
You are here:  Home  >  Data Education  >  Big Data News, Articles, & Education  >  Big Data News  >  Current Article

Introducing Neo4j 3.0

By   /  April 27, 2016  /  No Comments

neoby Angela Guess

A new article out of the company reports, “Neo Technology, creator of Neo4j, the world’s leading graph database, today announced the immediate general availability of Neo4j 3.0 — a landmark release propelling graph databases into the mainstream thanks to its massive scalability, new language drivers and a raft of other developer-friendly properties. ‘Every aspect of the architecture has been revisited to make graph database development productive and intuitive, while at the same time supporting massive graphs — into the hundreds of billions and trillions of nodes and relationships,’ commented Jim Webber, Neo Technology’s chief scientist. ‘We’ve achieved all of this whilst retaining Neo4j’s signature ‘minutes-to-milliseconds’ performance’.”

The article goes on, “Backed by a new binary wire protocol, Bolt, Neo4j 3.0’s new official language drivers, now available for Java, .NET, JavaScript and Python, transform the development experience, he noted. ‘Together these provide an entirely new and vastly more productive way for developers to work with the database.’ ‘Convenience is the killer app for mainstream tech adoption,’ said James Governor, RedMonk co-founder and analyst. ‘Neo4j 3.0 aims to be more developer friendly thanks to Bolt and drivers for the most popular programming languages in their specific distribution systems’.”

It continues, “The new Neo4j 3.0 release offers a step change in the power to carry out real-time queries against graphs of massive size, while retaining its tremendous performance advantages. This is ideal for large-scale applications including real-time retail recommendations, on-the-fly fraud prevention and IoT applications. ‘Before Neo4j 3.0, graph sizes were limited to tens of billions of records. With Neo4j 3.0, those limits go away,’ said Neo Technology’s Vice President of Products, Philip Rathle. ‘We are already working with customers who are pushing into hundreds-of-billions scale graphs. This release takes them there — and beyond’.”

Read more here.

Photo credit: Neo4j

You might also like...

Predictive Analytics: Giving Smart Manufacturers an Edge

Read More →