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AI Workloads Break Traditional Databases

Traditional databases are built for fixed queries and stable workloads.

Agentic AI workloads are dynamic, bursty, and exploratory, forcing teams to rely on multiple systems just to keep up.

How TiDB Cloud Essential Powers Agentic AI Workloads

Instant Branching for Agentic Workloads

Explore, branch, and run agents in parallel without waiting on infrastructure or data pipelines.

  • Support parallel agent execution
  • No data copying or environment setup
  • Faster experimentation cycles

One Unified Backend for AI Data

Power agents, RAG, and real-time features with transactions, analytics, and vectors in one system.

  • SQL + vector search in one database
  • No pipelines or sync jobs
  • Simpler AI architecture

Pay Only for What You Use

Adapt to unpredictable AI workloads without paying for idle capacity.

  • Workload-aware autoscaling
  • Usage-based pricing
  • No overprovisioning or manual tuning

CUSTOMERS

Proven at Scale

Leading AI innovators are solving scaling challenges with TiDB.

General-Purpose AI Agents

“TiDB’s elastic architecture enabled us to migrate in two weeks, supporting users and massive ‘Context Engineering’ workloads for viral success.”

AI App Development Platform

“We consolidated our entire AI backend into TiDB—letting our engineers focus on building agent features instead of managing database complexity.”

Autonomous Marketing Automation

“TiDB’s unified architecture enabled AI agents to access complete, real-time user context for autonomous marketing decisions.”

ECOSYSTEM

Integrations

Production-ready integrations for every stage of your AI pipeline.

Quick start: copy paste your Connection String into listed integrations.

Explore All Integrations

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