Donald Chamberlin, co‑author of SQL, explains why he now supports the NoSQL movement, describing how modern web applications demand scalability that traditional relational databases struggle to provide, and discusses emerging query languages like SQL++ (PartiQL) that bridge the gap between relational and document models.
This article walks through iQIYI's practical approach to database selection, covering key evaluation dimensions, a taxonomy of SQL/NoSQL and OLTP/OLAP workloads, detailed optimizations for MySQL, Redis, Couchbase and the internally built HiKV, as well as multi‑stage operational management and concrete selection recommendations.
This article discusses iQIYI’s approach to database selection, covering evaluation criteria, the variety of databases used—including MySQL, TiDB, Redis, Couchbase, and the in‑house HiKV—along with detailed optimization, high‑availability, auditing, and operational management techniques for each system.
This article explains iQIYI's multi‑dimensional approach to database selection, details the practical use and optimization of MySQL, TiDB, Redis, Couchbase, and the internally built HiKV, and offers concrete recommendations for choosing the right database in different scenarios.
The article outlines practical database selection criteria—cost, stability, performance, scalability, security—and details iQIYI’s concrete implementations of MySQL, Redis, Couchbase, and the custom HiKV store, describing their architectures, backup and scaling mechanisms, operational tooling evolution, and a decision‑tree guide for matching workloads to the appropriate database technology.
The article details iQIYI’s Bubble social service cache architecture, comparing Couchbase and Redis, explaining vBucket design and management UI, and presenting three real‑world optimizations—like‑system key redesign, voting‑system aggregation, and SDK upgrade—along with migration, synchronization, and operational best‑practice recommendations.
This article explains how Couchbase, a distributed NoSQL database, enables personalization, real‑time big‑data processing, and flexible content management for large enterprises, highlighting key requirements, solutions, and real‑world case studies from AOL, PayPal, and a Fortune‑500 media company.
This article provides a detailed comparison of five popular NoSQL databases—HBase, Redis, MongoDB, Couchbase, and LevelDB—covering their data models, performance characteristics, CAP classification, Node.js client options, advantages, drawbacks, and ideal use‑cases to help developers choose the right storage solution for a new Node project.
