The article explains how Apache Doris 2.0 introduces hot‑cold data tiering to move infrequently accessed data from expensive SSDs to cheaper object storage, dramatically reducing storage costs while maintaining query performance through automatic lifecycle management, storage policies, and cache mechanisms.
To replace Elasticsearch, the team built a ClickHouse‑based log platform that uses table‑level TTL and custom storage policies to automatically move data among hot (ESSD PL1), cold (ESSD PL0) and archive (OSS) disks, achieving faster writes, comparable query latency, and over 50 % cost reduction.
The article details JD Retail's JIMKV distributed database, explaining its unified cache‑storage architecture, fault‑detection and elastic‑scaling mechanisms, hot‑cold data tiering, read/write amplification mitigation, real‑world product‑detail use case, and future plans for intelligent operations and OLAP support.
