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The company behind #TiDB, a #MySQL compatible, #OpenSource #DistributedSQL database for building scalable modern apps.

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Modern apps need more from databases—TiDB delivers! Learn more: https://t.co/WW6yndUbZz

Discover how #DistributedSQL eliminates #MySQL & #NoSQL compromises to:
🔹 Scale without limits
🔹 Boost efficiency
🔹 Cut costs

#Scalability #TiDB #DSQL

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Most databases weren't designed for AI agents. TiDB Cloud + Amazon Bedrock changes that — unified HTAP, vector search, serverless branching, no separate systems. Full reference architecture on the AWS APN Blog.

🔗 https://t.co/bEGIABqE6k

#GenerativeAI #AWS #AIInfrastructure

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Tomorrow. Epicenter Stockholm.

The agentic afternoon: Ahsan Ayaz (Scandia), Fredrik Tormod + Anja Pettersson (AWS), Bernard Kavanagh (TiDB). Plus Ed Huang's keynote and 6 more sessions.

🛎️ TiDB SCaiLE Europe 2026. Free.
https://t.co/m4QhGQGBV7

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2 days to TiDB SCaiLE Europe. Practitioners take the floor.

Leandro Morgado (Bolt). Tarmo Kople (LHV Bank). Simon Hearne (Zilliz). Alex Campos (Ververica). Four customers and partners. One afternoon.

⌛ 4 June, Stockholm.
https://t.co/vflOr39vqN

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June 10 in Singapore we're putting 50 builders in one room to pull that stack apart.
Closed-door. After @SuperAISummit.
w/ Granite Asia, EDB, IMDA + community partners AI Builders, supermomos, and Linkloud
A few seats left 👇
https://t.co/OTLEgVff6B

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We’re thrilled to announce that TiDB will be at the Databricks Data + AI Summit 2026!

Stop by Booth #607 at the Moscone Center to chat with our experts about:

More info: https://t.co/yZr2ERUgng

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3 days to TiDB SCaiLE Europe. Four sessions from the engineers building it.

Ed Huang: agent-first software.
Bernard Kavanagh: memory for millions of agents.
Mattias Jonsson: native vector search.
Daniël van Eeden: MySQL to distributed SQL.

🧱 4 June, Stockholm.
https://t.co/eqkeywf8V5

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AWS Summit Mumbai 🇮🇳 Checked ✔️

The conversations we had here, about concurrency, state, and what databases actually need to handle agentic traffic, are the ones we're taking into the rest of the tour.

Thank you to every customer, partner, and engineer who stopped by.

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SQL has EXPLAIN. Vector search has vibes.

At TiDB SCaiLE Europe, Simon Hearne (Zilliz) on visualising what your vector pipeline is actually doing, plus Mattias Jonsson on native vector search in distributed SQL.

🧪 4 June, Stockholm.
https://t.co/Ht1U5Lyfi3

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TiDB is a Leader in G2's Spring 2026 Relational Database Grid Report.

Real user reviews. Real deployment data. Worth a look if you're in the middle of a database evaluation.

Download the report: https://t.co/udfnTfRm1Q

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Two failure modes for production agents: state drift and stale data.

At TiDB SCaiLE Europe, Bernard Kavanagh on the architecture for millions of concurrent agents, plus Alex Campos (Ververica) on streaming + TiDB.

🪫 4 June, Stockholm. Happy hour after.
https://t.co/EQSBR6SOyj

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June 10, Singapore. After @SuperAISummit.
50 AI founders + senior builders. One room. Closed-door.
Two conversations:What should AI infra actually look like?What's growing between the model and the product?
w/ Granite Asia, EDB, IMDA.
Application only 👇
https://t.co/Qkvm9iJcVy

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Two practitioners. Two very different orgs.

At TiDB SCaiLE Europe, Tarmo Kople on running TiDB across ride-hailing and regulated banking, plus Leandro Morgado on Bolt's migration from inside the DRE team.

🪜 4 June, Stockholm. Stick around for happy hour.
https://t.co/I8ATbu84FX

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700+ plugins. Each with its own DB schema. FedRAMP. HIPAA. BYOK.

That's Atlassian's infrastructure reality.

Here's how TiDB handles it, in their own words.

#TiDB #Atlassian #EnterpriseDatabase

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Most agentic stacks bolt on a vector DB. Another system. Another sync. Another failure point.

At TiDB SCaiLE Europe, Mattias Jonsson on native vector search in distributed SQL, and Bernard Kavanagh on memory for millions of agents.

4 June, Stockholm.
https://t.co/NpzMpgtnkS

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Kimi K2.6 provisions a fully isolated database for every agent task.
Sub-1-second. Zero idle cost. Tens of millions of tenants. One TiDB cluster.

This is what agentic infra at production scale looks like: https://t.co/2F9j1piaDE

#TiDB #AgenticAI #AIInfrastructure

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As AI agents and autonomous systems become the new standard, the underlying data architecture must evolve.
At Booth #307, our team will be showcasing how TiDB the distributed SQL database is purpose-built to handle the high-concurrency and low-latency demands of modern AI agent workflows.

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Kimi K2.6 runs on millions of agent branches.

Each needs state, memory, isolation. No per-tenant instances.

Here's the database architecture behind it: https://t.co/StbhUusYKf

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AI agents don't just read and write. They provision tenants, generate schemas, and run millions of parallel workflows.

That's not a query problem. That's an architecture problem.

Tech in Asia covers what databases need to look like now: https://t.co/EwTWZmXKaQ

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Bolt at 100M users: a schema change on a 1TB table could take a week.

At TiDB SCaiLE Europe, Leandro Morgado on how they got out, and Daniël van Eeden on what really breaks when MySQL meets distributed SQL.

🛤️ 4 June, Stockholm. Happy hour after.
https://t.co/vMpSVXVekK

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We are thrilled to host the upcoming South Bay Systems meetup on May 26th. Our VP of Engineering, Yu Dong, shares how TiDB scales AI agent memory. Come for the technical insights, stay for the community (and the pizza)!

Register now: https://t.co/CMqAVtI5cl