The fastest Path to Graph Data Visualization
A beautiful and expressive data visualization tool to quickly explore and freely interact with Neo4j’s graph data platform with no coding required.
Trusted and Valued by our Customers
Search, Explore, and Collaborate with Ease
Neo4j Bloom gives graph technology novices and experts the ability to visually explore and investigate their Neo4j graph data.
Its illustrative, codeless search-to-visualization design makes it the ideal interface for fostering communication between peers and domain specialists.
With Neo4j Bloom, immerse yourself in the data through the power of visualization. Gain deeper insight into each and every connection, relationship, and properties within and between entities of your Neo4j graph data, all through a rich and friendly UI.
With Neo4j Bloom, investigate and explore data that drives meaningful outcomes within your organization. Bloom’s easy-to-use illustrative design and powerful graph analytics help to paint a beautiful picture of what your data is telling you.
Neo4j Bloom improves cross-team collaboration with codeless search-to-story design. Simplify complex queries using custom Cypher-based search phrases and the near-natural language search functions. Define, save and share graph perspectives and assign role-based access to each one.
Get a glimpse of what's included for both Basic Access and Enterprise.
with paid plan
|Near-Natural language search
|Use with Local Database
|Use with Remote Databases
|Local to client
|Sharing and Authorization
Hear from our customers visualizing cool things with Bloom
In the graph, I see genes, proteins, and metabolic pathways visualized pictorially. I can follow links across multiple nodes, dive into groups of data, and move freely in all directions. This is investigative research in the truest sense of the word.
Dr. Alexander Jarasch, Head of Data and Knowledge Management, DZD
For me, utilizing this type of technology was a no-brainer. Neo4j really stood out as something that made sense to me, both from a logical standpoint and a visual standpoint. It made it really easy for our end users to visualize that data, see connections, find out how the data was being impacted, and to find information much more quickly.
David Meza, Chief Knowledge Architect, NASA