Join leading data experts Sanjeev Mohan, Dave Burgess, and Mark Donsky for a panel discussion on why distributed SQL has become a critical building block for modern data platforms—and what that means for companies struggling with the limits of traditional databases, sharding complexity, and patchwork scalability.
The panel unpacks the macro trends accelerating adoption of distributed SQL, including the surge in data-intensive applications, demand for real-time analytics, elastic scalability, cost pressure, and the rise of AI workloads.
You’ll hear how enterprises and SaaS innovators are overcoming the limitations of legacy databases, simplifying operations, and unlocking new AI-driven capabilities with distributed SQL solutions like TiDB.
You’ll gain practical perspectives on:
- The evolution of distributed databases: Why is now the tipping point for distributed SQL?
- Business drivers: Scale, performance, cost efficiency, compliance, and AI-readiness.
- Architectural innovations: How technologies like TiDB solve challenges of multi-region deployments, always-on availability, and mixed workload processing.
- Real-world use cases: From e-commerce scalability to powering retrieval-augmented generation (RAG), agentic memory, and semantic search for AI applications.
- Future trends: The role of distributed SQL in shaping cloud-native and AI-powered data strategies.
