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Introducing Neo4j 2.2: The World–s Fastest, Most Scalable Native Graph Database

SAN MATEO, CA — (Marketwired) — 03/25/15 — Neo Technology, creator of , the world–s leading graph database, today announced the immediate availability of , with major updates allowing organizations to derive maximum value from their data relationships. Enhancements in Neo4j 2.2 include significantly improved read and write performance, which organizations can put to immediate use to build even faster, more powerful mission-critical graph database applications.

“Neo4j 2.2 is the latest advancement in the Neo4j series. The new Cypher cost-based optimizer and the addition of a new in-memory page cache will greatly improve application read performance and scalability,” said Neo Technology–s CTO, Johan Svensson. “Improvements to the database engine, in particular Neo4j–s new fast write buffering architecture, improves write scaling quite dramatically, both for initial loading of the graph, and for highly concurrent transactional applications.”

Neo4j 2.2 offers overall read and write performance that is up to than previous versions, making it the ideal platform for a wide range of applications requiring real-time access to information on data relationships. Today–s release represents an astounding of engineering effort on top of Neo4j 2.1, making version 2.2 a significant step forward for Neo4j, as well as the graph database industry as a whole.

“Neo4j has the largest and most vibrant graph database community in the world. This release would not have been possible without a continuous stream of input from community members. Neo4j 2.2 represents our largest beta to date, with participation from more than two thousand users,” said Neo Technology–s VP of Products, Philip Rathle.

Neo4j 2.2 speeds write throughput significantly across the board, as much as 100 times in certain cases to benefit highly-concurrent applications while leveraging available hardware much more efficiently. This is achieved through faster buffering of updates, and a new unified transaction log that now serves both the graph and its indexes. The results include significant streamlining within the database engine, and efficient leveraging of the underlying hardware–s IO capacity. For the initial import of very large graphs, Neo4j 2.2 introduces a new bulk import utility that can bring data in from external sources at a sustained rate of over 1M records/second — supporting graphs with tens of billions of nodes and relationships.

The new in-memory page cache increases read throughput by up to 10 times for highly concurrent transactional read applications.

A new statistics-gathering capability in Neo4j 2.2, together with a new cost-based query optimizer for Neo–s Cypher query language, optimizes queries like never before, as a cost-based optimizer now chooses the best query execution plan using built-in statistics containing information on graph size and shape. Performance improvements in Neo4j 2.2 are as much as 100 times faster in certain cases than in previous versions.

Neo4j 2.2 offers improved developer productivity through a number of accompanying tooling improvements:

New graph visualization features

Query plan visualization

New integrated tutorials and learning materials

Neo Technology continues to address a tremendous need for powerful graph database technology, as Forrester Research analysts have recently reported that graph databases will reach over 25 percent of all enterprises by 2017.(1) And according to leading analyst firm, Gartner Inc., “Graph analysis is possibly the single most effective competitive differentiator for organizations pursuing data-driven operations and decisions after the design of data capture.”(2) Neo Technology is consistently recognized by Gartner and other leading organizations for its innovation, having being named a , listed among the and included in the

To download Neo4j 2.2 immediately, visit . To register for our Neo4j 2.2 webinar on March 26th at 9:00 a.m. PDT, visit: . More information on Neo4j is available at: .

Neo Technology is the creator of Neo4j, the world–s leading graph database, that brings data relationships to the fore. From companies offering personalized product and service recommendations; to websites adding social capabilities; to telcos diagnosing network issues; to enterprises reimagining master data, identity, and access models; organizations adopt graph databases as the best way to model, store and query both data and its relationships. Neo Technology researchers pioneered the modern graph database and have been instrumental in bringing the power of the graph to numerous organizations worldwide. Large enterprises like Walmart, eBay, UBS, Nomura, The InterContinental Exchange, Cisco, CenturyLink, HP, Telenor, TomTom, Lufthansa, and The National Geographic Society, as well as startups like CrunchBase, Medium, Polyvore, Zephyr Health, and Elementum use Neo4j to unlock business value from data relationships.

Neo Technology is a privately-held company funded by Fidelity Growth Partners Europe, Sunstone Capital, Conor Venture Partners, Creandum and Dawn Capital, and is headquartered in San Mateo, CA, with regional offices in Sweden, UK, Germany, France, and Malaysia. For more information, please visit .

(1) TechRadar: Enterprise DBMS, Q1 2014. Forrester Research. February 13, 2014.

(2) Gartner, –IT Market Clock for Database Management Systems, 2014,– by Donald Feinberg and Nick Heudecker, September 22, 2014.

Tanya Carlsson
Kulesa Faul for Neo Technology, Inc.

Posted by on 25. March 2015. Filed under Hardware, Picture Gallery. You can follow any responses to this entry through the RSS 2.0. You can leave a response or trackback to this entry

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