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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Thanks for this -- I've pushed a PR that corrects a slight incorrectness issue that biased the results in Cursively's favor, uses the original byte array directly instead of needlessly wrapping it in a MemoryStream, and uses the same optimization that you used to make SylvanSimplePool win in its category. CursivelyCsv is now the winner on my machine in this category when doPooling is on.
Agreed, and agreed. #21 and #22 seek to address this, but these have actually been very low priority for me: as your benchmarks show, if you primarily need a bunch of objects that must be UTF-16 strings, then are other libraries out there that will do the job just fine. The main reason to use Cursively for that would be if you have some use cases where you need the unusual qualities that Cursively offers, but other use cases where you can live with something more traditional, and you don't want to have two different CSV processing libraries.
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