RocksDB VS cpp_redis

RocksDB

• How to choose the right type of database
  15 projects | dev.to | 28 Feb 2024

  RocksDB: A high-performance embedded database optimized for multi-core CPUs and fast storage like SSDs. Its use of a log-structured merge-tree (LSM tree) makes it suitable for applications requiring high throughput and efficient storage, such as streaming data processing.

• Fast persistent recoverable log and key-value store
  3 projects | news.ycombinator.com | 24 Feb 2024

  [RocksDB](https://rocksdb.org/) isn’t a distributed storage system, fwiw. It’s an embedded KV engine similar to LevelDB, LMDB, or really sqlite (though that’s full SQL, not just KV)

• The Hallucinated Rows Incident
  2 projects | dev.to | 23 Nov 2023

  To output the top 3 rocks, our engine has to first store all the rocks in some sorted way. To do this, we of course picked RocksDB, an embedded lexicographically sorted key-value store, which acts as the sorting operation's persistent state. In our RocksDB state, the diffs are keyed by the value of weight, and since RocksDB is sorted, our stored diffs are automatically sorted by their weight.

• In-memory vs. disk-based databases: Why do you need a larger than memory architecture?
  3 projects | dev.to | 5 Sep 2023

  The in-memory version of Memgraph uses Delta storage to support multi-version concurrency control (MVCC). However, for larger-than-memory storage, we decided to use the Optimistic Concurrency Control Protocol (OCC) since we assumed conflicts would rarely happen, and we could make use of RocksDB’s transactions without dealing with the custom layer of complexity like in the case of Delta storage.

• Local file non relational database with filter by value
  1 project | /r/Database | 17 Jun 2023

  I was looking at https://github.com/facebook/rocksdb/ but it seems to not allow queries by value, as my last requirmenet.

• Rocksdb over network
  1 project | /r/programming | 20 May 2023
• How RocksDB Works
  2 projects | news.ycombinator.com | 19 Apr 2023

  Tuning RocksDB well is a very very hard challenge, and one that I am happy to not do day to day anymore. RocksDB is very powerful but it comes with other very sharp edges. Compaction is one of those, and all answers are likely workload dependent.

  If you are worried about write amplification then leveled compactions are sub-optimal. I would try the universal compaction.

  - https://github.com/facebook/rocksdb/wiki/Universal-Compactio...

• What are the advantages of using Rust to develop KV databases？
  2 projects | /r/rust | 22 Mar 2023

  It's fairly challenging to write a KV database, and takes several years of development to get the balance right between performance and reliability and avoiding data loss. Maybe read through the documentation for RocksDB https://github.com/facebook/rocksdb/wiki/RocksDB-Overview and watch the video on why it was developed and that may give you an impression of what is involved.

• We’re the Meilisearch team! To celebrate v1.0 of our open-source search engine, Ask us Anything!
  14 projects | /r/rust | 8 Feb 2023

  LMDB is much more sain in the sense that it supports real ACID transactions instead of savepoints for RocksDB. The latter is heavy and consumes a lot more memory for a lot less read throughput. However, RocksDB has a much better parallel and concurrent write story, where you can merge entries with merge functions and therefore write from multiple CPUs.

• Google's OSS-Fuzz expands fuzz-reward program to $30000
  3 projects | news.ycombinator.com | 2 Feb 2023

  https://github.com/facebook/rocksdb/issues?q=is%3Aissue+clic...

  Here are some bugs in JeMalloc:

cpp_redis

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Tracking mentions began in Dec 2020.