Software Alternatives, Accelerators & Startups

Amazon Elastic Inference VS Oracle Data Access Components

Compare Amazon Elastic Inference VS Oracle 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

Oracle Data Access Components logo Oracle Data Access Components

Enjoy the highest performance and unlimited possibilities when working with Oracle
  • Amazon Elastic Inference Landing page
    Landing page //
    2023-05-23
  • Oracle Data Access Components Landing page
    Landing page //
    2023-04-07

Oracle Data Access Components (ODAC) is a library of components that provides native connectivity to Oracle 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. The ODAC library is designed to help programmers develop faster and more native Oracle database applications.

ODAC, a high-performance and feature-rich Oracle connectivity solution, is an efficient native alternative to the Borland Database Engine (BDE) and standard dbExpress driver. It provides both possibilities of connection to Oracle through native Oracle data access and direct Oracle access from Delphi without Oracle Client.

Amazon Elastic Inference features and specs

No features have been listed yet.

Oracle 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
  • Highly usable design time support: Yes
  • Easy to deploy: Yes

Amazon Elastic Inference videos

Introduction to Amazon Elastic Inference

Oracle Data Access Components videos

How to Connect Devart ODAC to Oracle Database: Step-by-Step Tutorial

Category Popularity

0-100% (relative to Amazon Elastic Inference and Oracle Data Access Components)
Development
63 63%
37% 37
Diagnostics Software
67 67%
33% 33
Domains
64 64%
36% 36
Monitoring Tools
58 58%
42% 42

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

Oracle Data Access Components mentions (0)

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

What are some alternatives?

When comparing Amazon Elastic Inference and Oracle 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

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.

WinSCP - WinSCP is an open source free SFTP client and FTP client for Windows.

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