Neo4j Blog

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News

2025: Year of AI and Scalability

Discover how 2025 marked Neo4j’s evolution from a graph database and analytics leader into the world’s premier graph intelligence platform.

Agentic AI

What Are Agentic Workflows? Design Patterns & When to Use Them

Fraud is detected when relationships are visible, not when transactions are viewed in isolation.

Detect Fraud Faster With a Transaction Graph

Graph-Driven AI for All: Neo4j Aura Agent Enters General Availability

Featured Voices

Emil Eifrem

CEO & Co-Founder, Neo4j, Inc.

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Sudhir Hasbe

Chief Product Officer, Neo4j

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Philip Rathle

Chief Technology Officer, Neo4j

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Most Recent

Change Data Capture and Neo4j Connector for Confluent and Apache Kafka Go GA

Graph Data Science

Graphs4APAC: Enabling, Empowering & Engaging Professionals in APAC

Apache Spark for Neo4j AuraDB

Emil Eifrem BizTech Interview

Emil Eifrem

Emil Eifrem on Neo4j’s Rise, Rapid Growth in APAC, and the Thrill of Competition

Learn more about Neo4j Connector for Apache Spark.

The Great Hookup: Announcing Neo4j Connector for Apache Spark

Empower your data projects with Apache Zeppelin and Neo4j.

Cypher & GQL

Empower Data Projects with Apache Zeppelin & Neo4j

Graph Data Science

Free O’Reilly Book: Graph Algorithms in Apache Spark and Neo4j

Learn all about the vote to include Cypher queries and graph algorithms in Apache Spark 3.0

Apache Spark Developers Have Voted to Include Cypher in Spark 3.0 [Update]

Vote today to extend the graph capabilities of Apache Spark with Cypher queries

Apache Spark + Cypher: We Need Your Feedback & Votes

Learn about the importance of causal clustering in keeping data persistent.

Graphs at Scale: Scale Out Neo4j Using Apache Mesos and DC/OS

Learn about the alpha release of Cypher for Apache Spark™ making Cypher available for analytics

Cypher & GQL

Cypher – the SQL for Graphs – Is Now Available for Apache Spark

Learn how to use Neo4j with Scala for an awesome experience with the Apache Spark connector

Graph Database

Neo4j with Scala: An Awesome Experience with Apache Spark [Community Post]