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python wiki VS SQL Server Data Access Components

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

python wiki logo python wiki

Component Libraries

SQL Server Data Access Components logo SQL Server Data Access Components

Enjoy the highest performance and unlimited possibilities when working with SQL Server
  • python wiki Landing page
    Landing page //
    2023-08-18
  • 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 wiki features and specs

No features have been listed yet.

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)
  • 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

python wiki videos

Python Wikipedia Module tutorial

SQL Server Data Access Components videos

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Category Popularity

0-100% (relative to python wiki and SQL Server Data Access Components)
Application Builder
64 64%
36% 36
Development
0 0%
100% 100
Development Tools
57 57%
43% 43
Data Science And Machine Learning

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What are some alternatives?

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

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