Live Thursday: “Escape from Amazon Aurora”.
Learn why teams are exiting Aurora, how distributed SQL compares, and a safer way to migrate MySQL workloads.

Last chance to save your seat: https://ow.ly/xmN450Yyl9f

#TiDB #MySQL #DistributedSQL

The future of AI depends on smarter data infrastructure. Join Siddharth Taliyan at #MLDS2026 in Bangalore on 26 March!

#AIAgents #AIInfrastructure #TiDB

How CardX Scales 3.4M Credit Accounts Without Downtime | TiDB Read success stories from businesses using TiDB and the TiDB Cloud solutions from PingCAP. Learn more in our latest case study "How CardX Scales 3.4M Credit Accounts Without Downtime" here.

How does CardX scale 3.4M credit accounts with zero downtime?

This case study shows how TiDB enabled high availability, strong consistency, and scalable performance under heavy load.

https://ow.ly/5WXc50YwRyx

#FinTech #TiDB #ZeroDowntime #Scalability

AI agents are getting smarter—but databases aren’t keeping up.

At #AGENTICON Bengaluru, discover why monolithic systems fail at scale and how Manus AI migrated from Aurora MySQL to TiDB in just 2 weeks.

Rethink infra for agentic AI: https://ow.ly/Bk4p50YwrHP

#AgenticAI #DistributedSQL #TiDB

Planning life after Amazon Aurora?

Our Mar 26 webinar covers a practical migration framework: workload assessment, sync strategy, cutover, rollback, plus real stories of up to 10x better price-performance.

Register: https://ow.ly/lsL150YvKZs

#TiDB #MySQL #CloudDatabases

New episode of #datainthehallway 🎙️

Cassio Perin and #TiDB Champion Everton Silva from Bling share their migration journey to #TiDB, the lessons they learned along the way, and how they’re now contributing back to the TiDB community.

Watch full video: https://ow.ly/pzfu50Yv8y2

Raft Region Size: The Key to TiDB Performance & Recovery Struggling with TiDB? Learn how Raft region size shapes stability, recovery speed, and operational sanity.

In TiDB, Raft region size affects both performance and recovery behavior.

This post walks through what regions do, their sizing trade-offs, and how to tune for throughput and resilience.

https://ow.ly/T9oU50YuRpg

#TiDB #Raft #Performance #DistributedSQL

Agentic AI is easy to prototype - and brutal on the data layer.

On Mar 25, Ed Huang & Liya Du share how TiDB handles bursty agent workloads without cost spikes or constant re-architecture.

⏰ 10:30–11:30 AM IST

👉 Register: https://ow.ly/Qb8R50Yt21B

#AgenticAI #DistributedSQL #TiDB

Production-Grade AI Coding for TiDB | pingcap/agent-rules Stop "works on my machine" AI errors. Use TiDB Skills to give agents the context needed for scalable, hotspot-free, and secure SQL generation.

TiDB Skills adds AI-powered commands & natural language interaction to your database workflow — making query optimization and ops simpler.

https://ow.ly/SbfQ50Yster

#TiDB #AI #DatabaseOps #GenAI

Build Scalable AI: TiDB, Kiro, & Hybrid Data Architecture Build scalable AI with TiDB and Kiro. Use MCP and hybrid data to let AI reason over your database for faster production development.

AI apps need hybrid data stacks that handle OLTP, analytics & vector search together.

This post shows how Kiro built a scalable AI architecture on TiDB to serve unified workloads without stitching systems.

https://ow.ly/CEiL50YrVkv

#AI #GenAI #TiDB #DataStack

Privacy-First AI: Building a Voice-to-Text App That Learns Style Build a privacy-first, voice-to-text AI app using TiDB and Claude that learns writing styles without storing user messages.

Most voice-to-text tools ignore context. This tutorial shows how to build a privacy-first app that learns your style using a "style fingerprint" + TiDB Cloud vector search to personalize formatting across Gmail, Slack, X, and more.

Read here: https://ow.ly/H1i050Yrnm6

#TiDB #Privacy #GenAI

Scaling the AI-Native Future on a Modern Database | TiDB Join Bolt and TiDB for an in-person meetup where we break down how Bolt runs production workloads on TiDB to handle its rapid growth.

Sharding headaches or AI-driven cost spikes?

12 March (17:00–20:00) @ Bolt HQ: See how Bolt runs TiDB in production today, plus a first look at TiDB X (AI-native: OLTP + OLAP + vectors). Seats are limited!

RSVP: https://ow.ly/L0zM50YhEua

#TiDB #TiDBX #AIInfra

PingCAPと富士通、次世代プロセッサ上の新たなデータベースソリューションの検証スタート PingCAPと富士通が次世代プロセッサ「FUJITSU-MONAKA」を用いて、NewSQLデータベース「TiDB」の検証を開始。業界の拡張性と省電力化を促進する取り組みを紹介します。

PingCAPと富士通、次世代プロセッサ上の新たなデータベースソリューションの検証スタート #東京都 #千代田区 #PingCAP #TiDB #FUJITSU-MONAKA

PingCAPと富士通が次世代プロセッサ「FUJITSU-MONAKA」を用いて、NewSQLデータベース「TiDB」の検証を開始。業界の拡張性と省電力化を促進する取り組みを紹介します。

TiDB Cloud Traffic Replay: Seamless Production Upgrades Ensure seamless TiDB Cloud upgrades with Traffic Replay. Replicate workloads with 99% accuracy to find performance issues early.

Staging environments lie. Synthetic benchmarks miss the chaos of real traffic.

Traffic Replay on TiDB Cloud replays your actual production workload before you upgrade — < 1% CPS error, P999 latency down 20%+.

Catch regressions before prod does.
🔗 https://ow.ly/nI0l50YnVS7

#TiDB #DatabaseUpgrades

Real-Time Game Analytics: Building B40 Sim with TiDB & Convex How a real-world game used a fire-and-forget pattern with TiDB Cloud and Convex to scale real-time gameplay analytics.

A meme → a hackathon game → a "Best Use of TiDB" win.

The architecture? Convex for real-time gameplay. TiDB Cloud for behavioral analytics. Fire-and-forget sync so neither blocks the other.

Clean separation of concerns. Built in 24 hours. 🧵

👉 https://ow.ly/PXs450YnVFE

#TiDB #Hackathon

What do winning hackathon teams actually build with TiDB?
We asked them. 🎙️

New #DataInTheHallway episode — 3 "Best Use of TiDB" winners from Malaysia's AI Hackathon share their projects + first-hand experience.

▶️ https://ow.ly/xY5Q50YnVj1

#TiDB #AIHackathon

次世代通信基盤と分散型データベースが切り拓くデータセンターの未来 PingCAPとCTCが協力し、分散型データセンターの検証を行いました。次世代の通信基盤と強力なデータベースが、データ処理能力を引き上げます。

次世代通信基盤と分散型データベースが切り拓くデータセンターの未来 #東京都 #千代田区 #PingCAP #TiDB #CTC

PingCAPとCTCが協力し、分散型データセンターの検証を行いました。次世代の通信基盤と強力なデータベースが、データ処理能力を引き上げます。

最新AIテクノロジーを体験する「Microsoft AI Tour Tokyo」開催決定 PingCAPは、2026年3月24日に東京ビッグサイトで開催される「Microsoft AI Tour Tokyo」に協賛。このイベントで最新のAI技術を深く学べます。

最新AIテクノロジーを体験する「Microsoft AI Tour Tokyo」開催決定 #東京都 #千代田区 #Microsoft #PingCAP #TiDB

PingCAPは、2026年3月24日に東京ビッグサイトで開催される「Microsoft AI Tour Tokyo」に協賛。このイベントで最新のAI技術を深く学べます。

grasys and PingCAP Join Forces to Revolutionize Game and Entertainment Data Infrastructure The partnership between grasys and PingCAP aims to enhance scalability and real-time data analytics for the gaming industry using TiDB.

grasys and PingCAP Join Forces to Revolutionize Game and Entertainment Data Infrastructure #Japan #Tokyo #grasys #TiDB #PingCAP

grasysとPingCAPが提携、ゲーム業界向けデータ分析基盤の構築へ 株式会社grasysとPingCAP株式会社がパートナー契約を結び、ゲーム・エンタメ業界向けにTiDBを活用したデータ分析基盤を強化します。

grasysとPingCAPが提携、ゲーム業界向けデータ分析基盤の構築へ #TiDB #grasys #PingCAP

株式会社grasysとPingCAP株式会社がパートナー契約を結び、ゲーム・エンタメ業界向けにTiDBを活用したデータ分析基盤を強化します。

grasysとPingCAPが協業、ゲーム・エンタメ向けデータ基盤の新時代を切り開く 株式会社grasysとPingCAP株式会社が提携し、ゲーム＆エンタメ業界向けのデータ基盤強化を宣言！TiDBを活用し、リアルタイム分析を実現。

grasysとPingCAPが協業、ゲーム・エンタメ向けデータ基盤の新時代を切り開く #grasys #TiDB #PingCAP

株式会社grasysとPingCAP株式会社が提携し、ゲーム＆エンタメ業界向けのデータ基盤強化を宣言！TiDBを活用し、リアルタイム分析を実現。

株式会社grasysとPingCAPがパートナーシップを締結し、ゲーム業界でのデータ管理を革新 株式会社grasysとPingCAPが提携し、ゲーム・エンタメ業界向けのスケーラブルなデータソリューションを提供。TiDBを活用することで迅速なデータ分析や無しシステムの拡張が可能に。

株式会社grasysとPingCAPがパートナーシップを締結し、ゲーム業界でのデータ管理を革新 #東京都 #渋谷区 #PingCAP #TiDB #grasys

株式会社grasysとPingCAPが提携し、ゲーム・エンタメ業界向けのスケーラブルなデータソリューションを提供。TiDBを活用することで迅速なデータ分析や無しシステムの拡張が可能に。

Zero Downtime Database Upgrade with TiDB | Always-On DB Learn how TiDB enables zero downtime database upgrades with rolling updates, distributed SQL, and high availability for production databases.

Upgrades shouldn’t mean outages.

This post explains how TiDB achieves zero-downtime upgrades using coordinated version rollouts and Online DDL so applications stay running even as clusters evolve.

https://ow.ly/3nYG50YlJNp

#ZeroDowntime #DistributedSQL #TiDB

TiDB: The Distributed MySQL Alternative Dive deep into two popular MySQL alternatives and discover why TiDB is a better option for extreme scalability and real-time analytics.

MariaDB fixes some MySQL pain, but it is still a single node engine at heart.
TiDB takes a different path: distributed SQL, horizontal scale, real time analytics, and MySQL compatibility, plus migration tooling from MySQL and MariaDB.
Details in the new blog: https://ow.ly/rC6g50Yl7lb #TiDB #MariaDB

Agentic AI is easy to prototype - and brutal on the data layer.

On Feb 26, Ed Huang & Liya Du share how TiDB handles bursty agent workloads without cost spikes or constant re-architecture.

⏰ 10–11 AM PT

👉 Register: https://ow.ly/1Hmc50YhJrU

#AgenticAI #DistributedSQL #TiDB

GenAI demo ✅ Join TiDB + Amazon Bedrock on Feb 25 to see GenAI in production with real latency & cost targets❓

🕚 10:30 IST | 13:00 SGT

👉 Register: https://ow.ly/bbGS50Yi0ib

#GenAI #AWS #AmazonBedrock #TiDB

Scaling the AI-Native Future on a Modern Database | TiDB Join Bolt and TiDB for an in-person meetup where we break down how Bolt runs production workloads on TiDB to handle its rapid growth.

Scaling like Bolt?

12 March (17:00–20:00) at Bolt HQ: learn how Bolt runs TiDB in production for hyper-growth + reliability, plus a first look at TiDB X (AI-native: OLTP + OLAP + vectors).

Save your seat: https://ow.ly/v0G650YgLno

#TiDB #TiDBX #Scalability

“Can you at least tell us if this feedback is good or bad?”

That ask led Hasitha Ariyarantha (Founder, CrowdSnapAI) to build Lens by CrowdSnap on TiDB vector search—turning a year of text feedback into fast, scalable insight.

Watch the podcast: https://ow.ly/Q8Br50Yfeuy

#TiDB

ITちゃんねる CTC×MRI、オール光ネットワークで分散型データセンターの検証を実施 #オール光ネットワーク #TiDB #ITニュース

CTC×MRI、オール光ネットワークで分散型データセンターの検証を実施
#オール光ネットワーク #TiDB #ITニュース

Agentic AI Architecture for Scale: A Unified Database on TiDB Explores how agentic AI changes both the exploration and scale-up phases of successful product development, and what infrastructure you need.

1M rows/sec and counting! TiDB CEO Max Liu reveals 10x cross-region replication throughput for modern multi-tenant architectures.

Watch the full keynote from Max Liu at #TiDBSCaiLE to see what’s behind the numbers: https://ow.ly/9aul50YetG1

#TiDB #DistributedSQL