The company behind #TiDB, a #MySQL compatible, #OpenSource #DistributedSQL database for building scalable modern apps.
Sunnyvale, CA
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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
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We identified unauthorized access to certain PingCAP internal systems. We took containment measures and engaged independent cybersecurity firms. There is no evidence that user data stored in TiDB was impacted. We’ll share further updates as our investigation continues: pingcap.com/trust-hub/securi…
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What breaks in your data layer when the user is an AI agent, not a human? 🤖
@TiDB's Terry Purcell + Dify's Lusha Chen. Oct 29, 11 AM CEST. 30-min fireside, no slides.
Free 👉 pingcap.com/event/when-your-…
#TiDB #AgenticAI
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Big week at #SCaiLE2026. Four @pingCAP announcements
🔹 TiDB Cloud Premium: GA, Nov 2026
🔹 BYOC + Filesystem: public preview
🔹 Postgres on Starter: no gate
🔹 TiDB X: open source by end of 2026
Thanks to every speaker, attendee & the @pingCAP team
pingcap.com/blog/tidb-cloud-…
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🚀 TiDB Cloud BYOC is in Public Preview on AWS!
Your Cloud. Your Data. Our Ops.
Distributed SQL in your AWS account, managed by TiDB Cloud.
Join the preview: pingcap.com/contact-us/
#TiDB #BYOC#TiDBCloud #TiDBX #AWS
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Your AI support bot doesn't need four databases.
Vectors, SQL, and conversation history. One database on AWS.
Hands-on afternoon in Stockholm, Nov 3. Free. Bring a laptop.
👉 pingcap.com/event/aws-tidb-i…
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on 10/15 at 16:20
Tianyi Zhuang at #SCaiLE2026: seven release trains, one incident, zero data loss running production with a raft of AI agents. The hard part isn't capability. It's building the evidence structures that make agent work trustworthy. #TiDB #AgenticAI
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on 10/15 at 15:50
"Agents that work but repeat long cycles relearning what was already figured out. That's the token tax."
Adam B. Struck & Sunny Bains at #SCaiLE2026 #TiDB #AgenticAI
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on 10/15 at 15:10
500TB Spark pipeline. 600+ TiCDC changefeeds. 32 clusters at 600K rows/sec.
This is what fleet-scale TiDB looks like at Pinterest.
John Grass & Tailin Lyu at #SCaiLE2026. #TiDB
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on 10/15 at 14:45
Just heard Andy Wang at #SCaiLE2026: most companies can build an AI agent. What they can't do is keep it reliable, reusable, and cost-controlled as adoption grows. That gap between demo and production is where most AI initiatives die. #TiDB #AgenticAI
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on 10/15 at 14:30
"Every query must do a bounded amount of work."
One rule governs TiDB queries at Databricks. Madhav Ramesh at #SCaiLE2026 on the optimizer bugs they fixed, and the AI skill suite that lets teams audit their own queries. #TiDB
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on 10/15 at 13:30
Sang Mercado, Akshaya Bhat & Jimmy Rivera, Harmonic at #SCaiLE2026.
Fast transactions, high-volume ingestion, and AI queries all competing on the same data layer. One layer built to handle all three, and the trade-offs that come with it.
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Patrick Bossman, TiDB at #SCaiLE2026.
New capabilities for teams scaling mission-critical applications and building with AI agents, all on one unified data foundation. The next chapter of TiDB starts here.
"What's Next For TiDB"
#TiDB
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"When memory is the product, the database is the product."
Yijia Zhang, Plaud at #SCaiLE2026. 300M-row tables, frozen schemas, write ceilings. Building an AI-native data layer changed what was possible.
#TiDB #AgenticAI
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750+ PostgreSQL instances. 16 TiDB clusters. 3M+ tables. Zero performance degradation.
Vinod Kumar at #SCaiLE2026 on what comes after one of the biggest database consolidations in the industry.
"Beyond 3 Million Tables: Atlassian's Next Chapter on TiDB"
#TiDB
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