storage selection

Code Ape Tech Column

Sep 19, 2022 · Databases

Query Separation: Optimizing Large Table Queries with Separate Read Stores

The article explains query separation as a technique to improve performance of massive database tables by storing write‑optimized data and read‑optimized copies in separate systems, discusses when to apply it, implementation methods, storage choices, consistency handling, and practical considerations.

Database OptimizationMessage Queueasynchronous replication

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Query Separation: Optimizing Large Table Queries with Separate Read Stores

DaTaobao Tech

Feb 11, 2022 · Databases

Guidelines for Choosing Storage Solutions and Database Types

When selecting a storage engine, evaluate business metrics such as user and data volume, read/write bias, and consistency needs, then match those requirements to the strengths and limits of relational databases, key‑value caches, column‑stores, document stores, search engines, and other NoSQL options to achieve the right balance of performance, scalability, and operational cost.

DatabaseNoSQLSQL

0 likes · 17 min read

Guidelines for Choosing Storage Solutions and Database Types

Hujiang Technology

Mar 1, 2018 · Backend Development

Beyond Maslow's Hammer: Avoiding Tool Bias in System Architecture and Storage Decisions

The article examines Maslow's hammer metaphor to highlight how engineers often default to familiar technologies—such as Java, H5, or Ceph—when solving problems, urging a deeper analysis of requirements, diverse skill sets, and appropriate solutions like cloud storage for high‑availability needs.

backend developmentcloud storagestorage selection

0 likes · 7 min read

Beyond Maslow's Hammer: Avoiding Tool Bias in System Architecture and Storage Decisions