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 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.
Benoît est un développeur en informatique passionné par les nouvelles technologies et la philosophie du libre.
Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.