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SQL Server Data Access Components VS python xlrd

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

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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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 xlrd logo python xlrd

Please use openpyxl where you can... Contribute to python-excel/xlrd 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 xlrd 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 xlrd features and specs

No features have been listed yet.

Category Popularity

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

SQL Server Data Access Components

python xlrd

Development Tools
33 33%
Development Tools
67% 67
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Development
100 100%
Development
0% 0
Application Builder
26 26%
Application Builder
74% 74

User comments

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Social recommendations and mentions

Based on our record, python xlrd 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 xlrd mentions (2)

  • I need to read multiple excel files, extract a column from each and compose a new file
    So to get this out of the way first, xlrd has less features than openpyxl and in addition only works with the old '.xls' format, not the newer '.xlsx' format. Even on the xlrd's Github repo it says: 'Please use openpyxl where you can... '. Source: about 2 years ago
  • Sending Bulk SMS using Africas Talking, Python and Excel
    There are few alternative libraries for reading and writing excel files: Pandas, Xlrd , openpyxl among others. In the end I settled for openpyxl as I had the most experience Using it and it had support for .xlsx files. - Source: dev.to / about 3 years ago

What are some alternatives?

When comparing SQL Server Data Access Components and python xlrd, 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 docx - Create and modify Word documents with Python. Contribute to python-openxml/python-docx development by creating an account on GitHub.

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

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

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

Ionic - Ionic is a cross-platform mobile development stack for building performant apps on all platforms with open web technologies.

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