Software Alternatives, Accelerators & Startups

Amazon Elastic Inference VS MySQL Data Access Components

Compare Amazon Elastic Inference VS MySQL Data Access Components and see what are their differences

Amazon Elastic Inference logo Amazon Elastic Inference

Utilities, Application Utilities, and Machine Learning as a Service

MySQL Data Access Components logo MySQL Data Access Components

Enjoy the highest performance and unlimited possibilities when working with MySQL
  • Amazon Elastic Inference Landing page
    Landing page //
    2023-05-23
  • MySQL Data Access Components Landing page
    Landing page //
    2023-03-23

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.

Amazon Elastic Inference features and specs

No features have been listed yet.

MySQL Data Access Components features and specs

  • Direct access to server data without using client library. 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

Amazon Elastic Inference videos

Introduction to Amazon Elastic Inference

MySQL Data Access Components videos

Connect to MySQL using Data Access Components for Delphi

Category Popularity

0-100% (relative to Amazon Elastic Inference and MySQL Data Access Components)
Development
73 73%
27% 27
Diagnostics Software
73 73%
27% 27
Domains
66 66%
34% 34
Monitoring Tools
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Amazon Elastic Inference seems to be more popular. It has been mentiond 1 time 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.

Amazon Elastic Inference mentions (1)

  • Use AWS services from different region
    Elastic inference not ENI: https://aws.amazon.com/machine-learning/elastic-inference/. Source: about 3 years ago

MySQL Data Access Components mentions (0)

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

What are some alternatives?

When comparing Amazon Elastic Inference and MySQL 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.

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

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.

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

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

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