As enterprises shift from compute-storage integrated to separated architectures, managing multiple storage systems such as COS, OBS, S3, and HDFS becomes a major operational burden. Tencent Cloud, in collaboration with JuiceFS, has developed a unified storage layer powered by FoundationDB to tackle protocol inconsistencies, authentication differences, and metadata performance bottlenecks. The solution provides a single namespace across diverse backends, enabling efficient data reuse, caching acceleration, and simplified access control. This case study highlights how a robust metadata engine like FoundationDB can serve as the backbone for enterprise-grade unified storage, particularly in AI and big data scenarios where performance and scalability are critical. For organizations grappling with storage fragmentation, this architecture offers a proven path toward consolidation and operational efficiency.
Tencent Cloud and JuiceFS present a unified storage solution built on FoundationDB to address the challenges of heterogeneous storage backends like COS, OBS, S3, and HDFS. The architecture simplifies data access, improves metadata performance, and enables seamless caching in compute-storage separated environments. This is a significant reference for enterprises modernizing their data infrastructure for AI workloads.