Neo4j Bloom

Neo4j Bloom is a graph visualization and exploration application designed to illuminate patterns and relationships within connected data stored in the Neo4j graph database. It features a codeless, near-natural language search interface, high-performance GPU-powered rendering, and capabilities for defining, saving, and sharing graph perspectives. Bloom enables users, from data scientists to business analysts, to gain deeper insights, prototype solutions, and communicate findings effectively through interactive visual representations of their graph data, supporting diverse use cases across industries.

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Vendor Details

Neo4j Bloom is a beautiful and expressive data visualization tool that allows graph technology novices and experts to visually explore, investigate, and interact with complex Neo4j graph data with no coding required, fostering cross-team collaboration and insight discovery.

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Pillar
Social Media Management & Operations
Primary SITech Category
Data Visualisation
2nd SubCat
3rd SubCat
Tech Category
Graph Data Visualization; Near-Natural Language Querying; GPU-powered Rendering; Graph Analytics Integration
Data Coverage
Business & Firmographic (B2B) Data
Consumer & Demographic (B2C) Data
Geospatial & Location Data
Alternative / Niche Data
Data Sources
No items found.
AI/GenAI Type
Natural Language & Conversational AI
Geographic Coverage
No items found.
Specialized Industries
No items found.
HQ Location
North America

Company Info

info@neo4j.com

Neo4j Bloom is a graph visualization and exploration application designed to illuminate patterns and relationships within connected data stored in the Neo4j graph database. It features a codeless, near-natural language search interface, high-performance GPU-powered rendering, and capabilities for defining, saving, and sharing graph perspectives. Bloom enables users, from data scientists to business analysts, to gain deeper insights, prototype solutions, and communicate findings effectively through interactive visual representations of their graph data, supporting diverse use cases across industries.