Graph Database Platform | Graph Database Management System | Neo4j

Time 2021-05-26 09:11:09

Web Name: Graph Database Platform | Graph Database Management System | Neo4j

WebSite: http://neo4j.com

ID:179175

Keywords:

Platform,Database,Graph,

Description:

Warning: JavaScript is disabled on your browser. Parts of Neo4j.com will not work properly. Neo4j's fully managed cloud service the zero-admin, always-on graph database now for the globalenterprise Free O'Reilly Ebook Graph Algorithms: Examples in Spark and Neo4j Sample code and tips for over 20 practical algorithms. Find vulnerabilities, detect communities, improve machine learning. Read Now No Download Required Get Started Quickly with the Neo4j Sandbox Start using Neo4j in seconds, with built-in guides and datasets for popular use cases. No experience necessary. Try It Now Neo4j Special Edition Graph Data Sciencefor Dummies GDS for Dummies walks you through the foundations of graph data science, from defining algorithms to machine learning. Download Now 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 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: Cypher 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. Use Your Favorite Programming Language Neo4j officially supports drivers for .Net, Java, JavaScript, Go and Python. Our community contributors provide many more, including PHP, Ruby, R, Erlang, Clojure and C/C++. Learn More Neo4j for RDBMS Developers Get an introduction to Neo4j with The Definitive Guide to Graph Databases for the RDBMS Developer. Get the Guide Bottom-line Impact Learn how companies are using graph databases to gain sustainable competitive advantage. Get the White Paper Graph Expertise Tap into an ecosystem of solutions and graph-based services to shorten your learning curve. Professional Services If you weren’t able to make it to our webinar for Neo4j’s APAC Quarterly Customer Update, fear not – you’re still invited to check out the fascinating conversation between Emil Eifrem, our intrepid Co-founder and CEO, and Nik Vora, the Vice President of Neo4j APAC. These two impressive nodes ... Read More “I connect my communities by sharing the plethora of free events and tutorials that Neo4j offers. If there s any feedback I have, I connect with the experts in the user experience folks at Neo4j. I think Neo4j and graph databases are incredibly powerful and I would like more people to know about it,” ... Read More Fraud detection and anti-money laundering are top use cases for graph databases in the financial services industry. But it doesn’t stop there. Adoption of graph technology in one area often inspires use cases across the organization. At financial firms large and small, graph technology plays a key ... Read More

TAGS:Platform Database Graph 

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