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Global GraphHack 2019 winners announced.

Check Out Some Global GraphHack Projects & Help Us Pick the Winners!

One of the things I love most about working with developer communities is that there’s so much open-handed support of one another. The developer ecosystem thrives on learning and helping through continuous contribution. Everybody wins, because everyone helps. :) The theme for the... read more


Learn more about the new GQL project.

Bringing the Newly Approved GQL Project Into Focus

On September 9, 2019, a project was approved to create a new declarative property graph query language, GQL. The ballot to approve the GQL project was voted on by countries that are participating members in ISO/IEC JTC1. JTC1 is a Joint Technical Committee underneath both ISO... read more


This Week in Neo4j – NODES Preview: Data Science & Graph Algorithms, Graphing Brexit, Building a Chat Bot

This week we preview the Data Science and Graph Algorithms talks at the NODES 2019 conference and we do further analysis on the Brexit Graph. Max De Marzi starts a series of posts showing how to build a chat bot, František Hartman builds a custom analyser for Full Text Search, and the... read more


Catch this week's GraphCast: How Lyft Drives Data Discovery

#GraphCast: How Lyft Drives Data Discovery

Welcome to this week's #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Managing Editor, Jocelyn Hoppa, shared a reminder that GraphConnect 2020 Early Bird pricing is ending soon – as in October 1 soon! Don’t forget to sign... read more


Check out this interview with Lyft about using Neo4j.

Live from Lyft: Q&A with Mark Grover, Product Manager at Lyft

For more videos like this one, check out upcoming and on-demand video content in the Neo4j Webinar library. Mark Grover is a product manager at Lyft, working on data projects. He is a founder of the open-source data discovery platform Amundsen, which we'll be getting into today.... read more


Learn how to innovate on real-time recommendations with Neo4j.

5 Ways to Innovate and Delight Users with Real-Time Recommendations

Predictive systems, like recommendation systems, have become an extremely important source of new revenue growth and have proven to improve user stickiness. Because of their direct impact on top-line revenue through the organic use of enterprise data, recommendation systems are being... read more