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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

SQL Server Data Access Components

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

Rating
0 reviews
Pricing
Paid Free trial $199.95 / One-off
Alternatives Is it good?
python xlrd

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

Rating
0 reviews
Alternatives Is it good?
Modelence
Create production-ready applications with zero code sponsored

Which is more popular?

Based on our record, python xlrd seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
0 vs 2
Development popularity
100% vs 0%
alternatives listed
30 vs 12

Base details

Website, pricing, platforms and company facts side by side.

SQL Server Data Access Components
python xlrd
Website devart.com github.com
Pricing
Paid Free trial $199.95 / One-off Official pricing
—
Company 2023 —
Listed in
Development Tools Application Builder Development Mobile App Development +1
Development Tools Application Builder Game Development Data Science And Machine Learning +1

About SQL Server Data Access Components and python xlrd

In their own words, as submitted to SaaSHub.

SQL Server Data Access Components
python xlrd

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....

Read more about SQL Server Data Access Components

No description of python xlrd yet.

Features and specs

What each product offers, as listed by its team.

SQL Server Data Access Components 5 features
python xlrd 3 features
  • Direct access to server data. Does not require installation of other data provider layers (such as BDE and ODBC)
  • Interface compatible with standard data access methods, such as BDE and ADO
  • VCL, LCL and FMX versions of library available
  • Separated run-time and GUI specific parts allow you to create pure console applications such as CGI
  • Unicode support
  • Simplicity
    xlrd provides a straightforward and easy-to-use API for reading Excel files, making it accessible for beginners and quick implementations.
  • Widely Used
    xlrd has been a popular choice for handling Excel files in Python, which means there is a lot of available documentation and community support.
  • Efficient Reading
    It is optimized for reading data from Excel files without loading entire data into memory, which is beneficial for handling large files.

Possible disadvantages

  • No Write Support
    xlrd is designed solely for reading, and it does not support writing or modifying Excel files.
  • Limited to Older Excel Formats
    With version 2.0 and above, xlrd only supports the older .xls Excel file format and does not support .xlsx files.
  • Deprecated Features
    Due to changes in dependencies and updates to Excel formats, some features in xlrd have become deprecated or removed, which can limit its functionality.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
SQL Server Data Access Components
python xlrd
100% 100%
Development
0% 0%
30% 30%
Application Builder
70% 70%
36% 36%
Development Tools
64% 64%
0% 0%
Data Science And Machine Learning
100% 100%

User comments

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

SQL Server Data Access Components 0 mentions
python xlrd 2 mentions

Tracking SQL Server Data Access Components since Mar 2021.

  • 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: over 4 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 / over 5 years ago

Alternatives to SQL Server Data Access Components and python xlrd

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