Neo4j Bloom is a graph visualization and exploration product. It offers a code-less search to graph insight experience suitable for end users of a graph-powered application. This enables graph novices and experts, technology and business side to easily collaborate and communicate. In addition, Bloom interprets and runs near natural language queries.
Neo4j Bloom 1.1 is the next browser-based version of Bloom. Host it centrally on a server and allow access via a web browser, without the need for a desktop installation. With this update, Bloom makes it easy for project teams to collaborate and communicate using shared views of the same graph.
What’s new in version 1.1:
- Enables Bloom for use by project teams
- Zero footprint access via modern HTML5 browsers - no local installation necessary
- Link Bloom to an external application and pass-in context for graph exploration
- Allow a graph admin to create separate perspectives for different user roles in the team
Anurag’s mission is to help Neo4j customers get successful with our portfolio of end-user products. Prior to Neo4j, Anurag spent almost two decades in big data analytics and business intelligence, while in product and customer facing roles at Zoomdata and MicroStrategy. He is keenly passionate about enabling visual experiences that allow end users to freely explore their data assets.
Anurag holds a B.Tech. from IIT Bombay and an MS from University of Maryland, both in Mechanical Engineering, and an MBA from University of Michigan. He lives in Northern Virginia and enjoys leisure time with family and friends, and wandering to new places; ideally both together.
As a developer relations engineer, Mark helps users embrace graph data and Neo4j, building sophisticated solutions to challenging data problems.
He is the co-author of the O'Reilly book, "Applied Graph Algorithms in Apache Spark and Neo4j" published in early 2019.
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