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Product News : Neo4j 2.1 Speeds Relational to Graph Data Transfer With Built-In ETL
on 2014/6/2 8:57:53 (482 reads)
Product News

Neo Technology has announced the general availability of Neo4j 2.1, featuring built-in ETL that makes it easier to bring data in from relational databases and other data sources. Neo4j 2.1 enables businesses to quickly and easily bring their existing data into Neo4j, and unlock new business value by using the power of the graph to leverage the connections in the data. The new functionality provides easy methods for mapping tabular data into Neo4j from CSV files, and runs up to 100 times faster than previously existing methods.

"Neo4j 2.1 represents a major step forward in lowering the bar to graph database adoption for organizations who have massive amounts of data in their relational databases," said Emil Eifrem, CEO of Neo Technology. "Companies across the board are recognizing the value that comes from re-imagining their existing data as a graph. While Neo4j is already renowned for its ease, scalability, and speed, the new built-in ETL capabilities enable the same ease and speed when moving data from an RDBMS into a graph. This will make it easier than ever for organizations to unlock the hidden value of their data, by leveraging the connections."

The use of graph databases continues to broaden and accelerate. Forrester estimates that over 25 percent of enterprises will be using a graph database by 2017.1 The wide adoption of graph databases can be attributed to their value in solving a lot of seemingly intractable technology problems. These span all industries, with uses ranging from social to digital content management, bioinformatics to trading, identity and access management to Internet of Things, and geo routing to recommendations. Neo4j is trusted by more and more organizations around the world to gain value from the connections in their data. Customers include Walmart and eBay, National Geographic and Cisco, Lufthansa, and HP, and over 40 of the Global 2000.

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