by Angela Guess
A recent press release reports, “Neo4j, the leading platform for connected data, today announced Neo4j 3.4, which includes horizontal scaling, performance improvements of more than 50 percent, 3D geospatial search, and numerous operational improvements. Delivering on the company’s vision to make connected data – powered by graph database technology – accessible to more types of users, the company announced the release of an additional new product, Neo4j Bloom, which simplifies communication between developers and business stakeholders. Emil Eifrem, CEO and co-founder of Neo4j, believes these capabilities are essential to mainstay graph technology use cases such as fraud detection, real-time recommendation engines and knowledge graphs powering artificial intelligence. ‘If you look at our customers today, they have proven that connected data transforms any business,’ said Eifrem. ‘With Neo4j 3.4 and Neo4j Bloom we’ve extended the capabilities of the Neo4j Graph Platform both to make it more accessible and easy-to-use, and to stay ahead of the increasing performance demands of our existing customers’.”
The release goes on, “Neo4j Bloom is a search-based graph visualization product that transforms the abstract concepts of data relationships into tangible, easy-to-understand illustrated views of data. ‘Neo4j Bloom is specifically designed to illuminate connections between data points in an intuitive way, especially for executives and stakeholders who might not be very technical,’ said Eifrem. Neo4j Bloom is fully integrated with the Neo4j Graph Platform. Unlike traditional data discovery tools, Bloom reveals how data elements are related to each other, visualizing the context that these connections expose. Without knowing a query language, users explore the graph through search phrases and then zoom in and select nodes in the graph to review and edit their properties. They can also create storyboards for better collaboration between different stakeholders. The product is expected to be released by quarter’s end.”
Read more at Neo4j.
Photo credit: Neo4j