Storage engines, or embedded key-value stores, play a crucial role in large-scale systems by managing metadata-intensive workloads and preventing metadata access bottlenecks.
B-tree and LSM tree are two data structures used by data engines, with B-trees being suitable for small general-purpose databases and LSM trees more efficient in managing write-intensive workloads.
The article, published in "Infoworld" discusses the core performance factors in a key-value store, namely write amplification, read amplification, and space amplification, and the need for optimizing both writes and reads.
New storage engines like Speedb are emerging in the market, which can replace RocksDB and better meet the demands of modern applications with low-latency microservices architectures.

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