At the end of this session, you will understand:

• Addresses two core challenges: Data-performance paradox  and analytics engine explosion
• VeloDB Product positioning: High-performance, real-time analytical database built on open-source Apache Doris that unifies analytics workflows
• VeloDB Three core advantages:
  • Open-source architecture avoiding vendor lock-in
  • Lightning-fast performance supporting thousands of concurrent queries and billions of real-time events
  • Unified engine for all analytics scenarios (BI, ML, production analytics), dramatically reducing costs
• Use cases: Real-time analytics, lakehouse analytics, data warehousing, observability
• Complete ecosystem: Seamless integration with comprehensive ecosystem
• AI-ready: Architecture prepared for AI era, meeting sub-millisecond latency and fresh data requirements for autonomous agents