py-tsbs-benchmark VS c-questdb-client

Compare py-tsbs-benchmark vs c-questdb-client and see what are their differences.

py-tsbs-benchmark

Benchmark ingestion of the TSBS "dev ops" dataset into QuestDB via ILP using the `questdb` Python library and Pandas. (by questdb)
Pandas questdb questdb-ilp-client
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c-questdb-client

Rust, C and C++ client for QuestDB InfluxDB Line Protocol (by questdb)
C11 client-library Cpp17 questdb questdb-ilp-client Rust
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py-tsbs-benchmark c-questdb-client
11 2
28 39
- -
1.1 6.9
about 1 year ago 6 days ago
Python C++
Apache License 2.0 Apache License 2.0
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py-tsbs-benchmark

Posts with mentions or reviews of py-tsbs-benchmark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-09.

c-questdb-client

Posts with mentions or reviews of c-questdb-client. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-09.
  • Inserting 1.8M Rows/S from Pandas into QuestDB with Arrow, Rust and Cython
    2 projects | news.ycombinator.com | 9 Mar 2023
    Hi, I'm the original author of the QuestDB Python client library and benchmark.

    It all started when we had one of our users needing to insert quite a bit of data into our database quickly from Pandas. They had a dataframe that took 25 minutes to serialize row-by-row iterating through the dataframe. The culprit was .iterrows(). Now it's a handful of seconds.

    This took a few iterations: At first I thought this could all be handled by Python buffer protocol, but that turned out to create a whole bunch of copies, so for a number of dtypes the code now uses Arrow when it's zero-copy.

    The main code is in Cython (and the fact that one can inspect the generated C is pretty neat) with supporting code in Rust. The main serialization logic is in Rust and it's in a separate repo: https://github.com/questdb/c-questdb-client/tree/main/questd....

  • Inserting 1.1M rows/s from Pandas into QuestDB with Arrow, Rust & Cython
    4 projects | /r/programming | 16 Jan 2023
    The main code is in Cython (and the fact that one can inspect the generated C is pretty neat) with auxilliary code in Rust. The main serialization logic is in Rust and it's in a separate repo: https://github.com/questdb/c-questdb-client/tree/main/questdb-rs.

What are some alternatives?

When comparing py-tsbs-benchmark and c-questdb-client you can also consider the following projects:

Numba - NumPy aware dynamic Python compiler using LLVM

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

py-tsbs-benchmark vs Numba py-tsbs-benchmark vs Pandas