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This article explains the differences between row-based and column-based storage, comparing their write and read performance, outlining advantages and disadvantages, and describing suitable scenarios such as OLAP queries, column families, compression, and indexing, to help choose the appropriate storage model.
This article explains the fundamental differences between row‑based and column‑based storage in databases, compares their write and read performance, lists pros and cons, presents an openGauss experiment with sample tables, and offers practical guidance on when to choose each storage model.
Tongcheng Yilong’s BaikalDB deployment combines high‑availability multi‑Raft HA, HTAP support, and share‑nothing scalability to deliver over 72K TPS OLTP and ten‑fold faster OLAP queries while cutting operational costs up to a hundredfold through dual‑center, columnar storage and cloud‑native elasticity.
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