Jim Webber, Chief Scientist at Neo4j
Jim Webber is Neo4j’s chief scientist and a visiting professor at Newcastle University. At Neo4j, Jim works on fault-tolerant graph databases and co-wrote Graph Databases (1st and 2nd editions, O’Reilly) and Graph Databases for Dummies (Wiley).
Prior to Neo4j, Webber worked on fault-tolerant distributed systems. First at Newcastle University startup Arjuna and then for a variety of clients for global consulting firm ThoughtWorks. Along the way, he co-authored the books REST in Practice (O’Reilly) and Developing Enterprise Web Services—An Architect’s Guide (Prentice Hall).
Webber is active in the software development and database research communities, presenting regularly around the world. His blog is located at https://jimwebber.org and he tweets sometimes at @jimwebber.
Articles by Jim Webber, Chief Scientist at Neo4j
When building a product or application, most systems designers understand that you can't have it all. Creating a high-performing and scalable system can be a daunting challenge since those considerations are often in opposition to one another—typically high performance in a single machine's memory space or scalable across several servers.
Posted February 14, 2022
Graph databases are increasingly popular. In fact, according to DB-Engines graphs are the fastest growing of any database category since 2013. This growth is fueled in part because many organizations are realizing the value of understanding connections in their data. For companies looking to use a graph database to build behavior and decision-making applications based on real-time evaluation of connected data, there are several key attributes, including integrity, performance, efficiency and scalability.
Posted March 07, 2018