SingleStore

Everyone's asking which model to use for agents. Fewer are asking what the agent reads before it acts. An agent that checks inventory on a stale copy will sell the same item twice. Confidently. Agents need live data. Not copies. Not syncs. We've been building for this since 2011. Our CPO, Edward Hsu Hsu, explains why 👇 https://lnkd.in/eUx_eg-P

Planning for cheaper AI? Start with your data. Our CEO Raj Verma on the four things that grow more valuable as tokens get cheaper, and the questions to ask now. 🔗 Read more: https://lnkd.in/eCy9dG4P

More indexes, more caching, more read replicas. As analytics workloads grow, keeping queries fast usually means more infrastructure to manage. Chetan Thote explains how SingleStore Flow helps teams move demanding workloads to SingleStore while keeping their existing MySQL or Postgres database running. Reported migration results include: ⚡️ 1.5TB of Postgres data in under 2 hours ⚡️ 75TB of MySQL data across 4,000 tables in a week Read how teams start with a few workloads, check performance, and then decide what to move next: https://hubs.la/Q04C8C0R0

Some say the ideal database for AI agents doesn’t exist yet. We’d start somewhere simpler: one database, many right-sized agents, and the same live data underneath all of them. No giant model doing everything. No agents stitching answers together across systems. Right-size your AI. Start with the database. 🔗 https://bit.ly/3WgNZfl

One model surfaced a $𝟮.𝟴𝗠 annual gap between two architectures. 𝗔𝗯𝗼𝘂𝘁 𝗮 𝘁𝗵𝗶𝗿𝗱 𝗼𝗳 𝗶𝘁 𝗻𝗲𝘃𝗲𝗿 𝘀𝗵𝗼𝘄𝗲𝗱 𝘂𝗽 𝗼𝗻 𝗮𝗻 𝗶𝗻𝘃𝗼𝗶𝗰𝗲. Kevin Ng, our Lead Value Engineer, shows where hidden data stack costs live, and how to build a model engineering and finance can both defend. Read the full breakdown 👉 https://bit.ly/3VRZ8Dh

This is what a room looks like when AI finally makes sense. No slides full of buzzwords. No “just another copilot.” Last week in Tribeca, SingleStore Chief Product Officer, Edward Hsu, put one question to a room of executives: Your business has an Aura. Can you read it? Every transaction. Every customer click. Every system event. Together they make a live picture of your business, right now. Most companies sense it. Few can act on it in time. Ed’s point was simple: AI doesn’t stall because of the model. It stalls because of missing context. Aura Intelligence: sense → understand → decide → act. In real time. People ask. Agents act. Thank you to everyone who joined us at Maxwell Social in NYC. 🗽 👉 See what your Aura is telling you: https://lnkd.in/exgqCCs6 #AuraIntelligence

Confidence: 100% Data freshness: 💀 Your AI is only as smart as its last sync. Have a great weekend. Your data won't be taking one. 😉 #SingleStore

Every health system has an AI copilot now. Most of them are confidently wrong. 👀 Not because the model is bad. Because it’s working off of hours-old patient data. Speed without accuracy = quick mistakes. Accuracy without speed = late decisions. At the bedside, neither is acceptable. Tim Clendaniel, PT, DPT former clinic director, explains what most architectures get wrong 👉 https://bit.ly/4dsGYOu

Models are getting smarter. Your data is getting… older. 👀 That tension was the main course at our executive dinner in Stockholm. 🇸🇪 The photos say it all: big smiles, bigger questions, and a room fully leaned in. On the menu: → Real-time context as the key to trusted AI → Scaling without the complexity → Untangling fragmented data → Making performance, governance, and cost get along Why we do it: the best AI insights don't come from a keynote. They come from the person across the table who's living it. Tack så mycket to everyone who joined, and to Mo Kheir, Hans Bak and Micah Bhakti for leading the night. #SingleStore #AI #RealTimeData #Stockholm