This article explains how Alibaba built, customized, and operated a massive HBase platform—covering its architecture, high‑availability design, asynchronous and synchronous replication, multi‑link data flow, cost‑aware redundancy, cross‑cluster migration, performance optimizations, and future directions for the distributed NoSQL database.
OceanBase, a homegrown distributed database developed by a small Ant Group team, overcame technical and cultural challenges to power Alibaba’s record‑breaking Double‑11 payment peaks, earning international recognition and illustrating China’s push to break the Western monopoly on core database technology.
TiDB’s founder Huang Dongxu recounts the journey of building a MySQL‑compatible, distributed database—detailing early challenges, architectural decisions, the extensive testing, the adoption of Go, Rust, Raft, RocksDB, and the emphasis on metrics, cloud‑native design, and open‑source community collaboration.
This article provides a comprehensive overview of HBase, covering its distributed architecture, component roles, data organization, read/write mechanisms, and best practices for schema and region design to ensure efficient big‑data storage and retrieval.
The article introduces MyCat, an open‑source distributed database middleware that provides transparent sharding, multi‑backend support, AI‑driven catlet extensions, and advanced read‑write splitting to enable low‑cost migration of single‑node databases to cloud environments while addressing performance and scalability challenges.
The article analyzes the architecture of TDSQL, a MySQL‑based distributed SQL system designed for Tencent’s billing platform, detailing its transition from an in‑memory NoSQL solution to a high‑consistency, auto‑scaling, fault‑tolerant database with sharding, scheduler, agent, and gateway components.
This article presents a comprehensive technical overview of TiDB, a NewSQL distributed database, covering its architecture, SQL layer, KV engine, distributed transaction mechanisms, code implementation in Go, open‑source practices, and future roadmap.
The article describes how the limitations of an in‑memory NoSQL HOLD platform led to the creation of TDSQL, a distributed MySQL‑based SQL system featuring ZooKeeper‑coordinated Scheduler, Agent, and Gateway modules, automatic cross‑IDC disaster recovery, transparent horizontal scaling, strong synchronous replication, and future integration with container technologies.
This article explains how TDSQL transforms MySQL into a distributed, high‑availability SQL system by addressing NoSQL limitations, introducing a Scheduler‑Agent‑Gateway architecture, automatic scaling, sharding, robust disaster‑recovery mechanisms, and future integration with container technologies.
MyCat is an open‑source distributed database middleware that transparently shreds tables across multiple backend databases, solves connection overload, provides ER‑based sharding, global partitioning, AI‑driven catlets, and advanced read‑write separation, enabling low‑cost migration of single‑node databases to the cloud.
The article describes the evolution, architecture, automatic scaling, sharding, disaster‑recovery mechanisms, and strong synchronous replication strategy of TDSQL, a MySQL‑engine based distributed database built to meet the high‑availability and high‑consistency requirements of Tencent's billing platform.
This article introduces MySQL Cluster, an in‑memory, real‑time, ACID‑compliant distributed database, explains its multi‑master architecture, data, application and management nodes, transparent partitioning, NoSQL APIs, and presents a benchmark achieving 200 million queries per second on up to 32 nodes.
Amoeba is an open‑source MySQL front‑end proxy that acts as an SQL router, offering load balancing, high availability, query filtering, read/write splitting, and linear scaling, thereby simplifying data sharding, reducing client connections, and enabling seamless database expansion.
This article provides a comprehensive overview of Google Spanner, a globally distributed, multi‑version database, covering its background, core components, TrueTime‑based global synchronization, Paxos replication, data model, and the various transaction and concurrency mechanisms it employs.
This interview with Alibaba’s DRDS expert Shen Xun reveals how the distributed relational database service evolved from an internal tool to a cloud‑native solution, detailing its architecture, scalability advantages, middleware ecosystem, and real‑world performance during massive events like Double‑11.
