Developer Data Platforms

Andrew Davidson (SVP Products, @MongoDB) talks about MongoDB's evolution from a software company to a cloud services company (MongoDB Atlas), how developers traditionally interacted with databases, and the need for Developer Data Platforms going forward. SHOW: 671 CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS" SHOW SPONSORS: Datadog Security Solution: Modern Monitoring and Security Start investigating security threats before it affects your customers with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt. CDN77 - CDN Focused on VOD and Security CDN77 - ask for a free trial with no duration or traffic limits. CloudZero - Cloud Cost Intelligence for Engineering Teams SHOW NOTES: Press Release: MongoDB Unveils Vision for a Developer Data Platform at MongoDB World 2022 Forbes: MongoDB Extends Developer Data Platform For Modern Applications TechCrunch: MongoDB puts a spotlight on its developer data platform Topic 1 - Welcome to the show. Let’s talk about your background, and what you focus on at MongoDB. Topic 2 - Data is a weird beast. It’s cheap to create, it’s expensive to move, and it’s complicated to use because there’s so many ways to interact with it depending on the use-case. So for someone that thinks about data a lot, how do you frame up the challenges of how applications interact with data? Topic 3 - People tend to think about MongoDB as a database company, and then a Cloud database company. What did the company learn as it moved to the cloud, as a lot of barriers for developers got knocked down in that transition? Topic 4 - As a developer today, do I still need to think about the relationship between the underlying data and the database access model needed to make that useful to an application, or are any of those lines blurring or going away? Topic 5 - Databases have traditionally followed the CAP theorem, and different choices have different strengths and tradeoffs. As you start to think about this concept of developer data platform, how do you try and reframe those tradeoffs? Do any of them go away? Topic 6 - What are some examples of how companies and their developers are able to think differently about how their new applications can be built with this new platform approach to data? FEEDBACK? Email: show at the cloudcast dot net Twitter: @thecloudcastnet FEEDBACK? Email: show @ the enterprise ai show dot com Bluesky: @TheEntAIShow.bsky.social Twitter/X: @TheEntAIShow Instagram: @TheEntAIShow