What is the Graph Platform?

Neo4j Desktop, the developers’ mission control console

  • Free, registered local license of Enterprise Edition
  • APOC library installer
  • Algorithm library installer
  • Neo4j 3.4 is faster & with new data types

  • Writes are now up to 5x faster
  • New supported data types: date/time format and 3D geospatial data
  • A new kernel API
  • Discovery & Visualization

  • Integration with popular visualization vendors
  • Neo4j Browser and custom visualizations allow graph exploration
  • Neo4j Graph Platform Diagram

    Data Integration

  • Neo4j ETL reveals RDBMS hidden relationships upon importing to graph
  • Data Importer for fast data ingestion
  • Data Lake Integrator materializes graphs from Apache Hadoop, Hive and Spark
  • Graph Analytics

  • Graph Algorithms support PageRank, Centrality and Path Finding
  • Cypher for Apache Spark from openCypher.org supports graph composition (sub-graphs) and algorithm chaining
  • Neo4j - The Fastest Path To Graph Success

    What is Neo4j?

    Graph Technology Solutions

    From fraud detection and real-time recommendations to network security and master data applications, Neo4j powers some of the most essential enterprise use cases for connected data.

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    Connected Enterprises Powered by Neo4j

    See for yourself how Neo4j customers use the world's leading graph database to power real-time intelligent applications.

    Read Case Studies

    Transforming Logistics: Real-time Routing and Tracking with Neo4j

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    Next-Gen Master Data Management Comes to Marketing at Pitney Bowes

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    Walmart Optimizes Customer Experience with Real-time Recommendations

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    Natasha Manuel' Picture

    Neo4j Blog
    Fraud Detection Using Graph Technology

    Graph technology refers to the storage, management and querying of data graphical representation. Here, your indices become vertices and your relationships are converted into edges. Through analysis of the fine-grained relationships, by using graph analysis, you can find out oddities with the help of

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    Syed Haniff' Picture

    Neo4j Blog
    Creating a Data Distribution Knowledge Base Using Neo4j

    Editor’s Note: This presentation was given by Syed Haniff at GraphConnect Europe in May 2017. Presentation Summary UBS bank was relying on a data distribution model that was no longer serving its internal consumers, largely because it required its users to manually join returned data to glean any

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    Bryce Merkl Sasaki' Picture

    Neo4j Blog
    Graph Databases for Beginners: ACID vs. BASE Explained

    When it comes to NoSQL databases, data consistency models can sometimes be strikingly different than those used by relational databases (as well as quite different from other NoSQL stores). The two most common consistency models are known by the acronyms ACID and BASE. While they’re often pitted against

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