Useful AI Agent Case Studies: What Actually Works in Production
AI agents go beyond “ask a model, get text back.” They pursue goals over time: planning steps, retrieving information, calling tools, observing results, and adapting…
Read MoreUseful AI Agent Case Studies: What Actually Works in Production
Is Your Payment Infrastructure Ready for Agentic Payments?
If you own payments infrastructure, platform stability, or risk controls at a payments company, this article’s title is not a rhetorical question. This article first…
Exploring Ultimate Beneficial Ownership with Graph Technology
In this blog, I’d like to share insights from our recent webinar on Ultimate Beneficial Ownership (UBO) and how graph technology helps organizations tackle ownership…
Why Squarespace migrated global data workloads from PostgreSQL to CockroachDB
Every year at RoachFest, we hear directly from the teams running some of the most demanding data workloads in production. RoachFest 2025 was no different—except…
Why AI scale is breaking systems built for humans
83% of technology leaders believe their infrastructure will fail under AI pressure within two years. That number is not meant to provoke alarm. It’s simply…
Agentic AI is coming for your database
AI agents are no longer a thought experiment. They’re already writing code, calling APIs, retrying failed requests, and coordinating work at machine speed. And they’re…
The Math and the Graph Behind a Popular Match Game
Overview The game and the math Graph-backed game you can play Graph as Judge pattern? Most days, we use graphs to power serious systems. Fraud detection. Recommendations. Digital…
300-Node Clusters Now Supported in CockroachDB
As AI-driven and agentic applications push data platforms into new territory, data architects are increasingly forced to choose between correctness, simplicity, and scale. Today, we’re…
Unlocking High-Conversion Recommendations with Graph Analytics in Snowflake
Evolving basic recommendations into true customer intelligence requires moving past the architectural limits of traditional data models. While these systems excel at tracking customer actions,…
From Cafeteria Cliques to Graph Communities: Understanding the Louvain Algorithm
If you can navigate the complex social dynamics of a high school cafeteria, then you can understand how Louvain works. Imagine it’s your first day…
Detect Fraud Faster With a Transaction Graph
Financial Crime is Getting Harder to Uncover A few small purchases— a familiar ride-hailing service charge, maybe a food delivery here and there. Each of these…
A Reference Architecture for a Next Generation Global Reporting Platform
In Part 1 of this article series on Global Reporting Platforms, we explored why traditional reporting architectures are increasingly unable to keep up with modern…
Text2Cypher Guide
When and How to Implement Text2Cypher in Agentic Applications Courtesy of Microsoft Designer Introduction In this article, we’ll discuss the process of generating database queries…
What Database Modernization Means in the Cloud Era
Database modernization is a priority for many enterprises in 2026, as pressure builds for applications to grow more distributed, failure-tolerant, and globally accessible. Increasing cloud…
Bringing Application-Level Observability to CockroachDB: Query Tagging
Building mission-critical applications on CockroachDB demands robust observability. In complex, microservices-oriented architectures, it can be especially hard to correlate activity and pinpoint problems between different…