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AWS Deep Learning AMIs VS SQL Server Data Access Components

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

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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.

SQL Server Data Access Components logo SQL Server Data Access Components

Enjoy the highest performance and unlimited possibilities when working with SQL Server
  • AWS Deep Learning AMIs Landing page
    Landing page //
    2023-04-30
  • 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.

AWS Deep Learning AMIs 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): 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

Category Popularity

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

AWS Deep Learning AMIs

SQL Server Data Access Components

Development
78 78%
Development
22% 22
Development Tools
0 0%
Development Tools
100% 100
Diagnostics Software
100 100%
Diagnostics Software
0% 0
Domains
100 100%
Domains
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.

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

SQL Server Data Access Components mentions (0)

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

What are some alternatives?

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

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.

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

IBM Cloud Bare Metal Servers - IBM Cloud Bare Metal Servers is a single-tenant server management service that provides dedicated servers with maximum performance.

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

Amazon Elastic Inference - Utilities, Application Utilities, and Machine Learning as a Service

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

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