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qs
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How to remove all columns except a select few with data.table?
My initial rec was to use the fst package, but I read the other thread and you said it's not compatible. qs works in a similar way / with similar performances and should be compatible with any R version > 3.0.2, but I have personally never used it.
RMySQL
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How to convert Blob from SQL to string?
Google came up with this, though I can't say it really looks like a likely winner.
What are some alternatives?
Turbo-Base64 - Turbo Base64 - Fastest Base64 SIMD:SSE/AVX2/AVX512/Neon/Altivec - Faster than memcpy!
mydumper - Official MyDumper project [Moved to: https://github.com/mydumper/mydumper]
incubator-fury - A blazingly fast multi-language serialization framework powered by JIT and zero-copy.
mydumper - Official MyDumper Project
zstd - Zstandard - Fast real-time compression algorithm
Collapse Launcher - An Advanced Launcher for miHoYo Games
Turbo-Range-Coder - TurboRC - Fastest Range Coder + Arithmetic Coding / Fastest Asymmetric Numeral Systems
catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
CheekyKitten - The Cheeky Kitten encoder is a simple binary obsfucation tool. Corrupts binary using a hex shuffle algorithm.
jsonlite - A Robust, High Performance JSON Parser and Generator for R
kunlun - KunlunBase is a distributed relational database management system(RDBMS) with complete NewSQL capabilities and robust transaction ACID guarantees and is compatible with standard SQL. Applications which used PostgreSQL or MySQL can work with KunlunBase as-is without any code change or rebuild because KunlunBase supports both PostgreSQL and MySQL connection protocols and DML SQL grammars. MySQL DBAs can quickly work on a KunlunBase cluster because we use MySQL as storage nodes of KunlunBase. KunlunBase can elastically scale out as needed, and guarantees transaction ACID under error conditions, and KunlunBase fully passes TPC-C, TPC-H and TPC-DS test suites, so it not only support OLTP workloads but also OLAP workloads. Application developers can use KunlunBase to build IT systems that handles terabytes of data, without any effort on their part to implement data sharding, distributed transaction processing, distributed query processing, crash safety, high availability, strong consistency
OHMySQL - Swift + MySQL = ❤️