About
InterBase (and FireBird) Data Access Components (IBDAC) is a library of components that provides native connectivity to InterBase and Firebird from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) on Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. IBDAC-based applications connect to the server directly using the InterBase client. IBDAC is designed to help programmers develop faster and cleaner InterBase database applications.
IBDAC is a complete replacement for standard InterBase connectivity solutions. It presents an efficient alternative to InterBase Express Components, the Borland Database Engine (BDE), and the standard dbExpress driver for access to InterBase.
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About
Enjoy the highest performance and unlimited possibilities when working with MySQL. MySQL Data Access Components (MyDAC) is a library of components that provides direct access to MySQL and MariaDB from Delphi and C++Builder, including Community Edition, as well as Lazarus (and Free Pascal) on Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. Applications based on MyDAC can connect directly to MySQL server or work through the MySQL client library. MySQL Data Access Components are designed to help programmers develop MySQL database applications faster and easier. MyDAC is a complete replacement for standard MySQL connectors and presents an efficient alternative to the Borland Database Engine (BDE) and standard dbExpress driver for access to MySQL.
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About
Django-MySQL extends Django’s built-in MySQL and MariaDB support their specific features not available on other databases. A new cache backend that makes use of MySQL’s upsert statement and does compression. Named locks for easy locking of e.g. external resources. Extra checks added to Django’s check framework to ensure your Django and MySQL configurations are optimal. Django-MySQL comes with a number of extensions to QuerySet that can be installed in a number of ways - e.g. adding the QuerySetMixin to your existing QuerySet subclass.
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About
The h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. Thousands of datasets can be stored in a single file, categorized and tagged however you want. H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy array syntax. For example, you can iterate over datasets in a file, or check out the .shape or .dtype attributes of datasets. You don't need to know anything special about HDF5 to get started. In addition to the easy-to-use high level interface, h5py rests on a object-oriented Cython wrapping of the HDF5 C API. Almost anything you can do from C in HDF5, you can do from h5py.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Enterprise organizations
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Audience
IT teams searching for an unified connectivity solution
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Audience
Component Library solution for developers
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Audience
IT teams in need of a Component Library solution
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
$169.95
Free Version
Free Trial
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Pricing
$199.95 one-time payment
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationDevart
Founded: 1997
Czech Republic
www.devart.com
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Company InformationDevart
Founded: 1997
Czechia
www.devart.com/mydac/
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Company Informationdjango-mysql
United Kingdom
pypi.org/project/django-mysql/
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Company InformationHDF5
www.h5py.org
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Integrations
BrainWave 6
MariaDB
MySQL
NumPy
Python
RadiantOne
Visual Studio
Xcode
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Integrations
BrainWave 6
MariaDB
MySQL
NumPy
Python
RadiantOne
Visual Studio
Xcode
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Integrations
BrainWave 6
MariaDB
MySQL
NumPy
Python
RadiantOne
Visual Studio
Xcode
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Integrations
BrainWave 6
MariaDB
MySQL
NumPy
Python
RadiantOne
Visual Studio
Xcode
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