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
Get 20% off VelocityConf passes using discount code CLOUD

CLOUD NEWS OF THE WEEK:

SHOW INTERVIEW LINKS:

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

Understanding Graph Database Patterns 29:20 Share

The Cloudcast

Shownotes Transcript

Understanding Graph Database Patterns