SingleStore

Meet Ryan Sarginson 👋 Solutions Engineer at SingleStore and the mind behind our latest deep dive on modern data stacks. In his new blog, Ryan breaks down where traditional warehouse-centric stacks start to crack when teams move toward real-time, application-driven workloads. We sat down with him to unpack the key takeaways — including why a Toyota Camry could never replace the need for a Ferrari 😉 Watch the video + read the blog: https://ow.ly/WnQ450XXttQ

The stack that works…until it doesn’t. Every fast-growing team hits this moment sooner or later, and the only question is: do you catch it early or pay for it later? 🤔 Our latest piece by Ryan Sarginson breaks down why the classic data stack (OLTP + OLAP + search + vector + ETL) falls apart when you need real-time analytics and AI. Every new requirement becomes another bottleneck and financial burden. The article demonstrates how unifying transactions, analytics, and vector/hybrid search in SingleStore reduces data movement, simplifies complexity, and enables teams to scale the product — without relying on band-aids. Check this out 🔗 https://lnkd.in/ePTKfRqG

Chicago tech leaders, it's time to make an impact! We're hosting an invite-only networking experience for Chicago's tech leaders, at Blackhawks vs. Lightning ... a night built for bold ideas, fast thinking and real connection. 🗓️ January 23, 2026 ⏰ 6 p.m. CST No matter how you follow the game, this is about being in the room with leaders who know how to anticipate the play, adapt quickly, and turn momentum into impact. Interested? Reach out to us to learn more. We look forward to hosting you. 🏒

Who's taking the win — the New York Knicks or the Dallas Mavericks? 🏀 Join us for a curated group of executive and technical leaders at Madison Square Garden for an exclusive evening where we talk AI, data and scaling innovations — all while the Knicks take on the Mavericks on their home court! 🗓️ January 19, 2025 ⏰ 5 p.m. EST 📍 Madison Square Garden, New York See you all at MSG! 👋

What would your team build if a working application prototype took hours instead of weeks? 🤔 AI-assisted prototyping is changing what teams can explore. With an AI agent connected through MCP, you can go from an idea to a working, database-backed application prototype in an afternoon. Projects that once felt too small to justify the time of engineering teams can now be prototyped on the same day they are conceived. 👉 The new pace of prototyping is here. Here’s how the workflow integrates with MCP and an AI agent 🔗 https://ow.ly/H4xb50XRxA4

Driving Automation with AI Agents AI agents are becoming the engine behind modern automation. They can plan tasks, reason over data, and take actions with minimal human intervention. In this session, John Bagnall will break down how AI agents work, what makes them effective, and how organizations can use them to automate real-world workflows.

🎆 New Year’s resolution: Get real about AI. 2025 was a big year — every company invested in the future, exploring what’s possible with AI. But as we kick off 2026, a new phase is taking shape: making sure it delivers real business value, not just roadmap promises. Join us for an executive roundtable to explore how leaders are moving from ambition to impact with smarter data strategies and scalable AI. 🗓️ January 15, 2025 ⏰ 6 p.m. PT 📍 The Cavalier, San Francisco You don’t want to miss this 🔗 https://ow.ly/Fv4j50XMHHu

Modern workloads have to do it all: real-time transactions, fast analytics on huge datasets, and flexible AI/ML use cases. Instead of forcing a choice between rowstore and columnstore, this guide breaks down where each engine shines and how unified storage in #SingleStoreHelios helps you match the right engine to each workload (without sacrificing performance). Get the full guide 🔗 https://ow.ly/5keU50XQwuv

New year means new data habits. If you could fix one thing about your data stack in 2026, what would it be — speed, simplicity, AI readiness, or cost? Vote in the poll and tell us why in the comments 👇