TiDB SCaiLE 2026 | October 15 · Mountain View, CA

About the Event

Agentic AI is breaking the assumptions legacy databases were built on. One user action now spawns thousands of agent instances. Context branches per agent in milliseconds. Vectors, transactions, and analytics all need to live in the same place. Fragile multi-database stacks cannot keep up, and the engineering teams holding them together are paying the cost in reliability, operational overhead, and time to market.

Infinite agents. Infinite data. They demand one infrastructure built to absorb both, not a patchwork stretched past its limits.

Join us at TiDB SCaiLE 2026, the premier event for teams building the data infrastructure behind agentic AI. Come see what becomes possible when one database is built for agent behavior, not retrofitted for it.

Call for Presentations

TiDB SCaiLE 2026 brings together the builders, operators, and infrastructure leaders running data platforms under agentic workloads. Agents now create databases, provision tenants, and drive query volume without a human in the loop, and the systems underneath them are being rewritten to keep up. This year’s program spotlights the architectural decisions that make that possible.

We are looking for original, practitioner-led talks with real numbers, real tradeoffs, and real production scars. If you have built something worth sharing, this is your stage.

2026 Session Tracks

AI-Native: Infinite Agents
Show how you designed for workloads where software, not people, is the primary user: agent-driven provisioning, per-agent or per-tenant isolation, vector and semantic retrieval, memory layers, sub-second database creation, and cost control when instance counts run into the millions.
Enterprise: Infinite Data
Present what it took to run transactional and analytical workloads at scale across global, compliance-sensitive, or high-throughput environments: consolidation projects, zero-downtime migrations, multi-region resilience, observability, and the operational practices that held up under load.

What We’re Looking For

We welcome submissions including but not limited to:

Where TiDB fits in your stack, or why you evaluated it and chose something else
Distributed SQL in production: what worked, what broke, what you would do differently
Data architectures behind agentic and AI-native applications
Scaling storage and compute independently
Multi-tenancy at high tenant counts
Platform engineering practices that improved reliability
Lessons from outages, performance tuning, or migration projects
Real-time analytics inside transactional systems

Panels and roundtables on emerging data infrastructure topics are also encouraged.