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InterBase Data Access Components VS AWS Deep Learning AMIs

Compare InterBase Data Access Components VS AWS Deep Learning AMIs and see what are their differences

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InterBase Data Access Components logo InterBase Data Access Components

Enjoy the highest performance and unlimited possibilities when working with InterBase & Firebird

AWS Deep Learning AMIs logo AWS Deep Learning AMIs

The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale.
  • InterBase Data Access Components Landing page
    Landing page //
    2023-04-28

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.

  • AWS Deep Learning AMIs Landing page
    Landing page //
    2023-04-30

InterBase Data Access Components

Website
devart.com
Pricing URL
Official InterBase Data Access Components Pricing
$ Details
paid Free Trial $169.95 / One-off
Release Date
2023 March
Categories -
Edit details

AWS Deep Learning AMIs

Website
aws.amazon.com
Pricing URL
-
$ Details
-
Release Date
-
Edit details

InterBase 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 and national charset support: Yes

AWS Deep Learning AMIs features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to InterBase Data Access Components and AWS Deep Learning AMIs)

InterBase Data Access Components

AWS Deep Learning AMIs

Monitoring Tools
17 17%
Monitoring Tools
83% 83
Development
8 8%
Development
92% 92
Diagnostics Software
0 0%
Diagnostics Software
100% 100
Website Monitoring
100 100%
Website Monitoring
0% 0

User comments

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Social recommendations and mentions

Based on our record, AWS Deep Learning AMIs seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

InterBase Data Access Components mentions (0)

We have not tracked any mentions of InterBase Data Access Components yet. Tracking of InterBase Data Access Components recommendations started around Mar 2021.

AWS Deep Learning AMIs mentions (3)

  • Machine Learning Best Practices for Public Sector Organizations
    AWS Deep Learning AMIs can be used to accelerate deep learning by quickly launching Amazon EC2 instances. - Source: dev.to / over 2 years ago
  • Unable to host a Flask App consisting of an Image Classification Model coded in Pytorch to a free tier EC2 instance. The issue occurs at requirements installation i.e The torch v1.8.1 installation gets stuck at 94%.
    Ok a bit more on topic of your question. Set up a docker locally on your computer, pick a relevant image with all the python stuff and then do pip install -r requirements -t ./dependencies zip it up, upload to S3 and then get it from there and use on the EC2 instance. Or look into using Deep Learning AMIs they should have pytorch installed: https://aws.amazon.com/machine-learning/amis/. Source: about 3 years ago
  • Is Sagemaker supposed to replace Keras or PyTorch? Or Tensorflow?
    Literally nothing stops you from running EC2 instance with GPU and configuring it yourself. There are even AMIs specialized for ML workloads with everything preconfigured and ready to use - https://aws.amazon.com/machine-learning/amis/. Source: about 3 years ago

What are some alternatives?

When comparing InterBase Data Access Components and AWS Deep Learning AMIs, you can also consider the following products

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

AWS Auto Scaling - Learn how AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost.

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

Amazon Simple Workflow Service (SWF) - Amazon SWF helps developers build, run, and scale background jobs that have parallel or sequential steps.

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

Faronics Deep Freeze - Faronics Deep Freeze provides the ultimate workstation protection by preserving the desired computer configuration and settings.

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