Distributed DaaS Platform

Enterprise Challenge

Enterprise clients needed a unified data platform that could handle both transactional (OLTP) and analytical (OLAP) workloads efficiently. Traditional data warehouses couldn't provide real-time analytics, while OLTP systems struggled with complex analytical queries. The need for a hybrid solution that could scale to petabytes while maintaining sub-second query performance was critical.

Solution Architecture

The Distributed DaaS Platform combines Apache Flink for real-time stream processing, TiDB for distributed SQL processing, MongoDB for document storage, and Apache Hudi for data lake management. This hybrid architecture enables HTAP (Hybrid Transactional/Analytical Processing) workloads while maintaining ACID compliance and horizontal scalability.