turbodbc VS odbc

Compare turbodbc vs odbc and see what are their differences.

turbodbc

Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0. (by blue-yonder)
Python Odbc Database exasol Numpy Data Science pep249 python-database-api pyodbc speedup
Source Code
turbodbc.readthedocs.io
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odbc

Connect to ODBC databases (using the DBI interface) (by r-dbi)
R Database Odbc
Source Code
odbc.r-dbi.org
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turbodbc odbc
2 2
603 378
0.0% 0.0%
8.0 9.0
2 days ago 7 days ago
C++ C++
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

turbodbc

Posts with mentions or reviews of turbodbc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-16.
  • Arrowdantic 0.1.0 released
    3 projects | /r/Python | 16 Apr 2022
    It supports reading from and writing to ODBC compliant databases at likely similar performance as turbodbc and it does not require conda to install.
  • arrow-odbc: Fetch arrow arrays from an ODBC data source in a pip installable environment
    2 projects | /r/Python | 23 Nov 2021
    turbodbc is great, but a pain to build, at least without conda. arrow-odbc-py uses cffi (rather than PyO3) to talk to a rust backend and than uses the Arrow C Data interface to provide the user with pyarrow compatible arrow arrays. The use of a dedicated C interface in both places, avoids linking directly against the Python C-Interpreter as well as the specific C++ Arrow libraries your pyarrow version depends on. Avoiding some pain of dependency hell.

odbc

Posts with mentions or reviews of odbc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-21.

What are some alternatives?

When comparing turbodbc and odbc you can also consider the following projects:

arrow-odbc-py - Read Apache Arrow batches from ODBC data sources in Python

nanodbc - A small C++ wrapper for the native C ODBC API | Requires C++14 since v2.12

soci - Official repository of the SOCI - The C++ Database Access Library

RODBCext

vinum - Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.

pyodbc - Python ODBC bridge

pyexasol - Exasol python driver with low overhead, fast HTTP transport and compression

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

accessDBwE - Golang Microsoft Access Driver Add-On supporting decoding without password

arrow2 - Transmute-free Rust library to work with the Arrow format

Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

turbodbc vs arrow-odbc-py odbc vs nanodbc turbodbc vs soci odbc vs RODBCext turbodbc vs vinum odbc vs pyodbc turbodbc vs pyexasol odbc vs soci turbodbc vs Pytorch odbc vs accessDBwE turbodbc vs arrow2 turbodbc vs Apache Arrow