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What is eQube®-DaaS?

Our platform establishes a holistic data ecosystem that links a variety of interconnected data, applications, and devices, enabling users to extract meaningful insights through advanced analytics. By leveraging eQube's data virtualization capabilities, data from any source can be seamlessly integrated and accessed via multiple services, including web, REST, OData, or API. This functionality facilitates the rapid and effective merging of a wide array of legacy systems with modern commercial off-the-shelf (COTS) solutions. As a result, outdated systems can be systematically retired without interrupting ongoing business activities. In addition, the platform provides real-time visibility into operational processes through its sophisticated analytics and business intelligence (A/BI) tools. The application integration framework driven by eQube®-MI is built for straightforward scalability, ensuring secure and efficient information sharing among networks, partners, suppliers, and customers across different locations. Furthermore, this framework supports various collaborative initiatives, promoting both innovation and productivity throughout the organization. By harnessing these capabilities, businesses can adapt quickly to changing environments and enhance their overall strategic agility.

What is Azure Open Datasets?

Improve the accuracy of your machine learning models by taking advantage of publicly available datasets. Simplify the data discovery and preparation process by accessing curated datasets that are specifically designed for machine learning tasks and can be easily retrieved via Azure services. Consider the various real-world factors that can impact business outcomes. By incorporating features from these curated datasets into your machine learning models, you can enhance the precision of your predictions while reducing the time required for data preparation. Engage with a growing community of data scientists and developers to share and collaborate on datasets. Access extensive insights at scale by utilizing Azure Open Datasets in conjunction with Azure’s tools for machine learning and data analysis. Most Open Datasets are free to use, which means you only pay for the Azure services consumed, such as virtual machines, storage, networking, and machine learning capabilities. The availability of curated open data on Azure not only fosters innovation and collaboration but also creates a supportive ecosystem for data-driven endeavors. This collaborative environment not only boosts model efficiency but also encourages a culture of shared knowledge and resource utilization among users.

Media

Media

Integrations Supported

Ansys Cloud Direct
Apache Hive
Apache Spark
Bitbucket
Hadoop
IBM Rational ClearCase
IBM Rhapsody
JFrog Connect
Jama Connect
Microsoft Dynamics 365
Microsoft Excel
Microsoft Project
Microsoft SharePoint
Microsoft Teams
NoSQL
Oracle Database
PTC Windchill
SAP S/4HANA
Salesforce
Solumina

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

eQ Technologic

Date Founded

2000

Company Location

United States

Company Website

www.1eq.com/products_eqube-platform

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/open-datasets/

Categories and Features

Categories and Features

AI Development

Not specified

Data Management

Not specified

Data Modeling

Not specified

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