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Modern apps need more from databases—TiDB delivers! Learn more: hubs.ly/Q031-VCq0 Discover how #DistributedSQL eliminates #MySQL & #NoSQL compromises to: 🔹 Scale without limits 🔹 Boost efficiency 🔹 Cut costs #Scalability #TiDB #DSQL

Join us for Alibaba Cloud Singapore x TiDB AI Innovation Night — an evening exploring how Cloud, data, and AI are driving real-world innovation. 📅 21 May | 6:30–9:30pm 📍 Blu Jaz, Clarke Quay Central, Singapore Register → ow.ly/ZZkP50YXWrC

Next week: Plaid's Zander Hill shares the Aurora to TiDB migration playbook live. 234 databases. 6 engineers. Zero downtime. Real lessons. Register: ow.ly/ONHe50YXLGo #TiDB #AuroraMigration #DistributedSQL

Tarmo Kople ran databases at Bolt. Now he's at LHV Bank. At #TiDBSCaiLE Europe, he's sharing what TiDB looks like across both — startup scale to regulated banking. No fluff, just field experience. 🔍 June 4 | Stockholm 👉 ow.ly/aL9950YXKV2 #TiDB #DistributedSQL #DatabaseEngineering

A huge thanks to everyone who stopped by the TiDB booth at AWS Summit Bengaluru and Singapore. Next stops: Sydney, Korea, Bangkok, Mumbai. See you there 👋 More info: ow.ly/88Ib50YXLuJ #TiDB #AWSSummit #AgenticAI #AIInfrastructure #APAC

Agent memory isn't a storage problem. It's a precision problem. Too little recall = agent forgets what matters. Too much = context noise kills trust. How we built mem9 to solve this → ow.ly/5HLC50YXJJB

What if your AI IDE could query your database schema directly — no hallucinated column names, no boilerplate? Two engineers built a full AI app using TiDB + Kiro MCP. Schema design: 4hrs → 45 mins. P99 latency: <15ms. Here's how they did it: ow.ly/1yiO50YWu7V

4 sessions. 4 problems engineers are actively hitting. → Bolt's 100M-user MySQL migration → What actually breaks in MySQL → distributed SQL → Why agentic AI never needed a vector sidecar → Architecture for millions of concurrent agents June 4: ow.ly/H4Qa50YWtZ4

Your agent's biggest risk isn't model quality. It's state lock-in. Switch frameworks → rebuild memory from scratch. Agent interrupted → no record of what it tried. State belongs outside the harness. Here's why: ow.ly/Nhci50YVSIl

🇦🇺 TiDB @ AWS Summit Sydney — Booth B28 May 13–14! Real talk with our engineers + future database tech + TiCard swag. Plan your visit → ow.ly/rYIh50YVSH2 #AWSSummitSydney #TiDB

TiDB is heading to The AI Summit London — the #1 AI event of London Tech Week! Stop by our booth 208 and let's talk about your AI data stack: ow.ly/saP050YVxl6 #AISummitLondon #ArtificialIntelligence #AgenticAI #TiDB #LondonTechWeek #Database #AI2026

Most teams would staff up for 234 database migrations. Plaid did it with 6 engineers by scoping smart, automating early, and frontloading risk. Zander Hill breaks it down May 21. Register: ow.ly/rJP750YNvJM #TiDB #AuroraMigration #DatabaseMigration

The AI era won't be won by the best model. It'll be won by the infrastructure that serves millions of agents at machine speed. 🤖 At Manus, 90%+ of new DB instances are created by AI agents. Not humans. 📐 Read why the AI-native database era is already here → ow.ly/AjUM50YUZyg 🔍 #TiDB #AgenticAI

TiDB Cloud Premium is in Public Preview. 🔒 Dedicated isolation. Elastic compute. Consumption-based pricing. No more choosing between performance predictability and cost efficiency. 📡 Try it → ow.ly/esqq50YUv1A 💳 #TiDB #CloudDatabase

Ready to move your GenAI apps from prototype to production? Join TiDB, AWS, and Dify at the AWS Builder Loft in San Francisco on May 7th! We’re diving deep into what it actually takes to ship scalable AI agents and enterprise-grade workflows. Register here: ow.ly/qO6Q50YUuV6

Dify replaced 500,000 database containers with one TiDB instance. 🗂️ 80% lower infra costs. 90% less operational overhead. Vectors, docs, and relational data — unified. 📉 Full case study → ow.ly/z7WO50YUtEV #TiDB #GenAI

Drive9 is not just file storage. We built a small demo: PhotoVault drive9-photo-vault.netlify.app Upload a photo, and Drive9 can automatically generate its summary and tags. That means your app does not just “store files” anymore. It can understand them. With this, you can easily build your own photo service, personal knowledge vault, AI album, content management app, or any AI application that needs file + metadata + retrieval. This is the power of Drive9: Files become searchable. Files become understandable. Files become part of the AI runtime. Try Drive9: drive9.ai

mem9.ai - A unified memory solution is all your AI agents need.

The workload is also completely different. The 2008 paper was thinking about Web 2.0 applications: small objects, interactive services, scale-out availability. TiDB X is designed for AI-agent workloads: sessions, memory, checkpoints, artifacts, logs, replayable state, bursty compute, and many short-lived tenants. Different animal.

The old question was: Can we build a database on S3? The new question is: What kind of database do AI agents need when object storage becomes the ground truth? That is a much more important question.