June 17, 2021
Neo4j Online Developer Expo and Summit
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Graph Algorithms: Examples in Spark and Neo4j
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What is Neo4j?
Neo4j is a native graph database platform, built from the ground up to leverage not only data but also data relationships. Neo4j connects data as it’s stored, enabling queries never before imagined, at speeds never thought possible.
The Native Graph Advantage
Unlike traditional databases, which arrange data in rows, columns and tables, Neo4j has a flexible structure defined by stored relationships between data records.
With Neo4j, each data record, or node, stores direct pointers to all the nodes it’s connected to. Because Neo4j is designed around this simple, yet powerful optimization, it performs queries with complex connections orders of magnitude faster, and with more depth, than other databases.Learn More
Cypher — The Graph Query Language
With Neo4j, connections between data are stored – not computed at query time. Cypher is a powerful, graph-optimized query language that understands, and takes advantage of, these stored connections.
When trying to find patterns or insights within data, Cypher queries are often much simpler and easier to write than massive SQL JOINs. Since Neo4j doesn’t have tables, there are no JOINs to worry about. For comparison with SQL, here's a simple Cypher query matching all products in a category hierarchy:
Here's a similar query in SQL, which is longer and more complex. Unlike Cypher, where depth is unlimited, this SQL query selects just three levels of depth.
Aloha, my name is Keoni Gaspar. I am a Senior Business Development Manager here at Neo4j and lead the US Business/Sales Development team. I have been a leader at Neo4j for over four years now, and have been in the tech industry for over 20 years leading previous sales teams. Like most sales professionals, I ...Read More
Neo4j Aura Enterprise is a graph database-as-a-service, offered by the creators of the only enterprise native graph database. Fully managed and completely automated, Aura Enterprise enables developers to rapidly deploy, build, and expand graph-powered applications in the cloud, without the friction of ...Read More
Hello, everyone! In this week’s episode, Neo4j Engineering announced the release of Neo4j Streams with many new features. Dirk Fahland describes his project to transform event logs into a knowledge graph and the templates he has published. Rick Van Bruggen writes about how he retrieved new ...Read More