Databases
"Historically, this segment of the market was not widely available to us because of the effort, cost, and risk of modernizing old and complex custom applications"
Sales reps spend most of their time not selling but caught up in data and admin. RevOps startup Scalestack, powered by MongoDB Atlas on AWS, is seeking to solve the problem with AI.
On going from academia to CIO; learning from hyper-growth Cisco (“make sure you are part of the team that is tackling the thorniest, ickiest, hairballiest problems in your organization”), being blown away by the first browser, and ‘build versus buy’
CEO vows continued investment in developer education, says many “historically only built SQL applications and simply do not know how to use MongoDB to its full potential”
Apple silicon support, faster queries, new cluster management software, MongoDB and Snowflake compatibility... and "capabilities for new applications"? Stranger things have happened at sea.
"With Atlas Vector Search we can compose sophisticated queries that quickly filter across product data, customer preferences and vector embeddings to precisely identify hyper-relevant product recommendations in real time"
Enpal's Chief Architect Nils Lappe on why the clean energy startup took its time-series data to MongoDB Atlas, asking "weird" questions, and saving 60% on data storage
Exadata running natively on Oracle hardware inside AWS? If you insist.
FinOps... CapEx? Access to IPv4 reserve pool protects it from “being forced to purchase these in an ad hoc manner”...