BVLSM separates keys from values at WAL-write time, stores big values in multi-queue BValue files, and reports up to 7.6x write throughput over RocksDB and 1.9x over BlobDB on 64KB random writes.
Tidb storage design and implementation: Distributed transaction log analysis.TiDB Official Documentation, 2024
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BVLSM: Write-Efficient LSM-Tree Storage via WAL-Time Key-Value Separation
BVLSM separates keys from values at WAL-write time, stores big values in multi-queue BValue files, and reports up to 7.6x write throughput over RocksDB and 1.9x over BlobDB on 64KB random writes.