Understanding Graph Database Patterns

SHOW: 405 DESCRIPTION: Aaron and Brian talk with Emil Eifrem, (@emileifrem, Founder/CTO @Neo4j) about the emergence of graph databases, common use-cases, and how developers are thinking about new ways to leverage graph databases. SHOW SPONSOR LINKS: Datadog Homepage - Modern Monitoring and Analytics Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt Digital Ocean Homepage Get Started Now and Get a free $50 Credit on Digital Ocean CLOUD NEWS OF THE WEEK: IBM closes acquisition of Red Hat ($34B) Cisco acquires Acacia (Optical Networking - $2.6B) Google Cloud acquires Elastifile ($200M) Microsoft and ServiceNow announce strategic partnership Microsoft joins hospital chain Providence to build “hospital of the future” SHOW INTERVIEW LINKS: Neo4j Homepage Neo4j Open Source SHOW NOTES: Topic 1 - Welcome to the show. You’ve been the CEO of Neo4j for over a decade now. How has the landscape around application-usage of data changed in the most significant ways? Topic 2 - For many decades, most data-centric applications were built around Relational Databases (SQL Databases). These days, application patterns and use-cases have expanded significantly. How do graph databases fit into these new trends? Topic 3 - With all the new patterns emerging, there are both business reasons and technical reasons for choosing the right database platform. How do you find the business-level thought process happening (contributing, influencing) around platform choice? How do you find the technical-level thought process happening (contributing, influencing) around platform choice? Topic 4 - Every company that’s involved with the commercialization of open source projects is trying to figure out the best way to manage a portfolio between OSS, software offerings and cloud offerings. How does Neo4j think about that balance? Topic 5 - Getting developer momentum and mass around a set of patterns is critical. How does Neo4j think about enabling developers, and what are some of the things you’ve done to accelerate their success and consistent learning? FEEDBACK? Email: show at thecloudcast dot net Twitter: @thecloudcastnet and @ServerlessCast FEEDBACK? Email: show @ the enterprise ai show dot com Bluesky: @TheEntAIShow.bsky.social Twitter/X: @TheEntAIShow Instagram: @TheEntAIShow