Inderpreet Singh Bindra·Oct 21Why Uber Needs Strong Consistency for Some of Its 2 Trillion IndexesWhy making every index strongly consistent would be expensive, and how Uber decides which financial lookups cannot tolerate stale data.
InTech and Me, Loving It or Hating ItbyThe AIExplorer·Oct 16Your AI Features Don’t Need a Dedicated Vector Database. They Need PostgresHow a failed deletion created a data leak, and what we’d have built instead
Inderpreet Singh Bindra·Oct 13Why Uber’s Financial Database Does Not Trust UPDATEHow Uber uses append-only records, cryptographic proofs, and revisions to correct financial mistakes without rewriting history.A response icon1A response icon1
Sunil Kumawat·Oct 12Database Replication : Behind the ScenesHow read replicas stay in sync with the primary database
OceanBase·Oct 10PowerContext: A Foundation for Human–Agent CollaborationThe AI-Native Organization’s Dilemma: If Every Agent Is Capable, Why Does Work Still Break Down?
DataStrata·Oct 2Your Temp Table Isn’t as Temporary as You ThinkA data engineer on a Vertica cluster notices something strange: a batch job that spins up a handful of temp tables for intermediate results…
InLevel Up CodingbySriram Mahalingam·Sep 23One Table to Rule Them All: How We Adapted a Document Schema in MySQLWe had a product catalogue with fifty attribute sets across twenty product types. The traditional approach meant twenty tables, fifty…A response icon1A response icon1
OceanBase·Sep 23From T+1 to Real Time: Rethinking Transactional and Analytical WorkloadsWhen Detection Comes Too Late
Twendee·Sep 21When a Serverless Database Makes Sense for Modern ApplicationsA serverless database is often described as a simpler way to scale modern applications. That is only partly true. Serverless can reduce…
OceanBase·Sep 9AI-Ready Data: The Conversation We Need to Have Before We Talk About AII recently had the opportunity to moderate a roundtable with technology and data leaders on a topic that sounds straightforward but is…
