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SQL Server Data Access Components VS python docx

Compare SQL Server Data Access Components VS python docx and see what are their differences

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SQL Server Data Access Components logo SQL Server Data Access Components

Enjoy the highest performance and unlimited possibilities when working with SQL Server

python docx logo python docx

Create and modify Word documents with Python. Contribute to python-openxml/python-docx development by creating an account on GitHub.
  • SQL Server Data Access Components Landing page
    Landing page //
    2023-04-12

SQL Server Data Access Components (SDAC) is a library of components that provides native connectivity to SQL Server from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) for Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. SDAC-based applications connect to SQL Server directly through OLE DB, which is a native SQL Server interface. SDAC is designed to help programmers develop faster and cleaner SQL Server database applications.

SDAC, a high-performance and feature-rich SQL Server connectivity solution, is a complete replacement for standard SQL Server connectivity solutions and presents an efficient native alternative to the Borland Database Engine (BDE) and standard dbExpress driver for access to SQL Server.

  • python docx Landing page
    Landing page //
    2023-08-18

SQL Server Data Access Components features and specs

  • Direct access to server data. Does not require installation of other data provider layers (such as BDE and ODBC): Yes
  • Interface compatible with standard data access methods, such as BDE and ADO: Yes
  • VCL, LCL and FMX versions of library available: Yes
  • Separated run-time and GUI specific parts allow you to create pure console applications such as CGI: Yes
  • Unicode support: Yes

python docx features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to SQL Server Data Access Components and python docx)

SQL Server Data Access Components

python docx

Development Tools
29 29%
Development Tools
71% 71
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Development
100 100%
Development
0% 0
Application Builder
22 22%
Application Builder
78% 78

User comments

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Social recommendations and mentions

Based on our record, python docx seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

SQL Server Data Access Components mentions (0)

We have not tracked any mentions of SQL Server Data Access Components yet. Tracking of SQL Server Data Access Components recommendations started around Mar 2021.

python docx mentions (2)

  • What Would Go in Your Dream Documentation Solution?
    So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:. Source: 5 months ago
  • See unknow person with a problem in Stackoverflow: writes a library for her
    Here's the project: https://github.com/python-openxml/python-docx. Source: about 1 year ago

What are some alternatives?

When comparing SQL Server Data Access Components and python docx, you can also consider the following products

Universal Data Access Components - Enterprise solution at a low price. Powerful functionality with fast and reliable support

python pillow - The friendly PIL fork (Python Imaging Library). Contribute to python-pillow/Pillow development by creating an account on GitHub.

PostgreSQL Data Access Components - Enjoy the highest performance and unlimited possibilities when working with PostgreSQL

python xlrd - Please use openpyxl where you can... Contribute to python-excel/xlrd development by creating an account on GitHub.

Oracle Data Access Components - Enjoy the highest performance and unlimited possibilities when working with Oracle

Flutter.dev - Build beautiful native apps in record time 🚀

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