Row storage, short-circuit, prepared statement, and row cache.

Don’t bury the lede:

” Most current OLAP databases are built with a columnar storage engine to process huge data volumes. They take pride in their high throughput, but often underperform in high-concurrency scenarios. As a complement, many data engineers invite Key-Value stores like Apache HBase for point queries, and Redis as a cache layer to ease the burden. The downside is redundant storage and high maintenance costs.”

Now we know why should read about your approach.