” 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.”

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