Check out your Company Bowl for anonymous work chats.
📖 Scalability is what TiDB does best—and it’s never static. When we hit the limits of the traditional shared-nothing architecture, we knew incremental changes wouldn't cut it. We needed a "GPU moment" for the database. In this deep-dive, our Co-Founder & CTO, Ed Huang, shares the full story behind TiDB X—the new cloud-native core engine for TiDB Cloud. Learn how we returned to first principles to build a database ready for the next decade of AI-driven workloads, featuring: 🔹 True Compute-Storage Separation (S3 backbone) 🔹 Service-Oriented Architecture (SOA) 🔹 Virtual Clusters for high-density multi-tenancy 🔹 The architectural roadmap for 10PB+ scale Read the full story of the origins, the missteps, and the future of hashtag#TiDB X. 👇 https://lnkd.in/gx865TT9 hashtag#TiDBX hashtag#CloudNative hashtag#DistributedSQL hashtag#DatabaseArchitecture hashtag#AI hashtag#Scalability
What do you do when your 25TB database hits the "ceiling"? 🚀 Bling faced a classic scaling nightmare with their mission-critical MySQL/MariaDB environment: 📉 The Stats: 25TB of data, 15 replicas, and 2-5 billion rows per table. 🔥 The Pressure: Peak loads hitting 350,000 QPS. Rather than sink months into high-risk sharding rewrites, the team chose a different path: migrating to TiDB. The results of the journey: ⚡ TiDB Lightning Import: 25TB moved in ~12 hours (compressed to 16TB logical). ⏱️ Precision Cutover: Switched writes in a planned 5-hour window. 🏗️ Massive Scale: 50 TiKV nodes & 15 TiDB instances handling 50,000+ concurrent connections at peak. Scaling doesn't have to mean manual sharding. Check out Bling’s full story and lessons learned here: https://lnkd.in/gkDszNJU
🤖 The primary users of databases are no longer humans. They are AI agents. This shift redefines what “scale” really means. It is no longer just about data volume. It is about supporting millions of concurrent agents, managing auto-generated schemas, and executing machine-written SQL in production. In this article, SVP of Product & Engineering Siddon Tang explains how TiDB evolved to meet these demands years ago while solving extreme scale challenges at companies like Atlassian and Databricks. Explore the three new dimensions of scalability and why distributed SQL fits the AI agent era: https://ow.ly/zWSg50XXqNS hashtag#TiDB hashtag#AgenticAI hashtag#DistributedSQL hashtag#Scalability hashtag#AIInfrastructure hashtag#Databases
🌐 2026 won’t be about AI assistants — it’ll be about AI agents writing code, spinning up databases, and shipping products at machine speed. Our latest blog from PingCAP CTO Ed Huang breaks down the database trends reshaping how autonomous agents interact with data — from hyper-elastic scalability to AI-first infrastructure. 🔍 Learn why databases must evolve beyond storage to become active substrates for AI-driven systems. 👉 Read now: https://ow.ly/IpRW50XSBHR hashtag#AgenticAI hashtag#Databases hashtag#AIInfrastructure hashtag#TiDB
𝗡𝗲𝘄 𝗬𝗲𝗮𝗿, 𝗻𝗲𝘄 𝘄𝗼𝗿𝗸𝗹𝗼𝗮𝗱𝘀! Here’s to 2026: may your systems be distributed, your latency be low, and your architecture scale smoothly.
Great conversation on The Ravit Show with Ravit Jain and our CTO Ed Huang on how hashtag#AI is changing database architecture. As applications and agents move across transactions, analytics, and vector search in real time, managing multiple databases no longer works. This is why we’re betting on unification with hashtag#TiDB X and where hashtag#data platforms are headed next.
Big thanks to everyone who joined our Amsterdam meetup this week with Amazon Web Services (AWS) and Bolt. 🙌 Packed room, great engagement, and plenty of chats over beers and food — exactly the kind of energy that makes this community fun to build with. Here’s what we dug into: 🔹 AWS on Kiro with Jukka Forsgren A closer look at Kiro, the AI IDE using prototype-based development to help teams ship production-ready applications with AI at the core. 🔹 TiDB with Daniël van Eeden How TiDB’s distributed SQL foundation and built-in AI capabilities support large-scale, production workloads without slowing teams down. 🔹 Bolt with Leandro Morgado Real-world insights on how Bolt runs TiDB without worrying about scale, HA, or ops overhead plus lots of practical lessons from their setup. Appreciate everyone who showed up, shared, learned, and helped make the night a solid one for the Amsterdam data infrastructure community. 🍻
🌍 TiDB momentum is everywhere this month. From the neon buzz of Las Vegas at AWS re:Invent to deep-dive sessions at IT-Tage Frankfurt and a high-energy meetup in Jakarta! Our team connected with builders and data leaders across three continents, and the innovation happening as teams scale data and AI with TiDB is incredible to see. 🚀 #aws hashtag#ittage hashtag#reinvent
Scaling MySQL shouldn’t mean piling on operational overhead. 🤯 This month, we're hosting a TiDB Use Case Lab (with Benjamin Sherrill) where we’ll walk through how teams scale out MySQL with fewer bottlenecks, less ops toil, and a cleaner path to growth. If you’re hitting limits with sharding, replicas, or constant fire drills, this session breaks down a practical alternative that keeps performance high and complexity low. 😌 Grab your spot now! Plus, you’ll get 𝟭𝟬 𝗧𝗶𝗗𝗕 𝗟𝗮𝗯𝘀 𝗰𝗿𝗲𝗱𝗶𝘁𝘀 so you can try things hands-on after the session: https://ow.ly/Z4YT50XBOFI
TiDB x AWS Hands-on Lab Workshop: Bengaluru Edition wrapped up! 🇮🇳 The workshop was packed with deep-dive learning, live demos, and amazing interaction from the community. Big thanks to all the participants who made it a fun and engaging learning session! 🙌 hashtag#TiDB hashtag#TiDBCloud hashtag#AWS hashtag#TiDBCommunity hashtag#DistributedSQL Amazon Web Services (AWS)
