Software Alternatives & Reviews

SQL Server Data Access Components VS bokeh python

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

SQL Server Data Access Components logo SQL Server Data Access Components

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

bokeh python logo bokeh python

This Python tutorial will get you up and running with Bokeh, using examples and a real-world dataset. You'll learn how to visualize your data, customize and organize your visualizations, and add interactivity.
  • 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.

  • bokeh python 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

bokeh python features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to SQL Server Data Access Components and bokeh python)
Development Tools
39 39%
61% 61
Development
100 100%
0% 0
Application Builder
27 27%
73% 73
Data Science And Machine Learning

User comments

Share your experience with using SQL Server Data Access Components and bokeh python. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

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

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

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

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

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