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What is SQL Server Data Access Components?

SQL Server provides exceptional performance and a wealth of opportunities for developers. The SQL Server Data Access Components (SDAC) comprise a suite of tools enabling native connectivity to SQL Server from Delphi and C++Builder, even supporting the Community Edition. Additionally, it caters to Lazarus and Free Pascal users on multiple platforms, including Windows, Linux, macOS, iOS, and Android, accommodating both 32-bit and 64-bit architectures. Applications built with SDAC can establish direct connections to SQL Server through OLE DB, which delivers a native interface for enhanced interaction. This framework is designed to streamline the development of SQL Server database applications, allowing programmers to build them more efficiently and with greater clarity. Serving as a high-performance and feature-rich connectivity solution, SDAC can effectively replace conventional SQL Server access methods. Furthermore, it provides an optimal native alternative to the Borland Database Engine (BDE) and the standard dbExpress driver for SQL Server access. Importantly, applications developed using SDAC are straightforward to install and eliminate the need for additional data provider layers, making the deployment process even smoother for developers.

What is NumPy?

Quick and versatile, the principles of vectorization, indexing, and broadcasting in NumPy have established themselves as the standard for modern array computations. This robust library offers a comprehensive suite of mathematical functions, random number generation tools, linear algebra operations, Fourier transformations, and much more. NumPy's compatibility with a wide range of hardware and computing platforms allows it to work effortlessly with distributed systems, GPU libraries, and sparse array structures. At its foundation, NumPy is constructed with highly optimized C code, enabling users to benefit from the speed typical of compiled languages while still enjoying the flexibility provided by Python. The intuitive syntax of NumPy enhances its user-friendliness and efficiency for programmers of all levels and expertise. By merging the computational power of languages such as C and Fortran with Python’s approachability, NumPy streamlines complex processes, leading to solutions that are both clear and elegant. As a result, this library equips users to confidently and easily address a diverse array of numerical challenges, making it an essential tool in the world of data science and numerical analysis. Furthermore, the active community around NumPy continuously contributes to its development, ensuring that it remains relevant and powerful in the face of evolving computational needs.

Media

Media

Integrations Supported

3LC
Avanzai
Azure SQL Database
Coiled
Cython
Dash
Delphi
FreeBSD
JAX
PaizaCloud
PyCharm
SQL Server
Spyder
Unify AI
Visual Studio Code
Yamak.ai
Yandex Data Proc
h5py
imageio
scikit-learn

Integrations Supported

3LC
Avanzai
Azure SQL Database
Coiled
Cython
Dash
Delphi
FreeBSD
JAX
PaizaCloud
PyCharm
SQL Server
Spyder
Unify AI
Visual Studio Code
Yamak.ai
Yandex Data Proc
h5py
imageio
scikit-learn

API Availability

Has API

API Availability

Has API

Pricing Information

$199.95 per year
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Devart

Date Founded

1997

Company Location

Czech Republic

Company Website

www.devart.com/sdac/

Company Facts

Organization Name

NumPy

Company Website

numpy.org

Categories and Features

Categories and Features

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