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What is Azure Data Share?

Seamlessly distribute data from multiple sources to other organizations, regardless of its format or volume. You can easily control the information shared, determine who has access, and set the terms for its use. Data Share provides full visibility into your data-sharing relationships via an intuitive interface. With just a few clicks, you can share data or develop your own tailored application using the REST API. This serverless, no-code data-sharing solution removes the necessity for infrastructure setup or ongoing maintenance. Its user-friendly design enables you to manage all your data-sharing activities with ease. The automated features boost productivity and guarantee consistent results. Furthermore, the service is enhanced by Azure's security measures to protect your data during sharing. You can quickly share both structured and unstructured data from various Azure repositories without delay. There is no need to establish infrastructure or manage SAS keys, making the sharing process entirely code-free. You retain authority over data access while defining terms of use that conform to your organizational policies, ensuring both compliance and security throughout the sharing process. This efficient method not only facilitates collaboration within your organization but also protects sensitive information, fostering a culture of secure data management. By utilizing this service, organizations can enhance their operational efficiency and build stronger partnerships.

What is AVEVA Data Hub?

To boost operational efficiency, encourage sustainable practices, and support digital transformation, organizations need to identify cost-effective methods for gathering, storing, and distributing crucial industrial data. By integrating and analyzing this data, companies can achieve deep insights and securely communicate them with trusted partners both inside and outside their organizations to foster collaboration. Leveraging the software-as-a-service (SaaS) capabilities of our industrial cloud platform, AVEVA Connect, the AVEVA Data Hub removes barriers to data sharing by utilizing the scaling and flexibility offered by cloud technology. This platform provides users with secure, real-time access to data, independent of their location or network connection. As a fully managed, cloud-native SaaS solution, AVEVA Data Hub is ready to use immediately and can expand as required without the need for extra infrastructure or IT staff. Designed for smooth integration with AVEVAâ„¢ PI System, AVEVAâ„¢ Historian, and Edge Data Store, companies can transition their operational data to the cloud at a comfortable pace, all while promoting ongoing advancements. This functionality not only enhances decision-making but also stimulates innovation throughout the organization, making it a valuable asset for future growth. Ultimately, embracing such cloud solutions positions organizations to thrive in an increasingly data-driven environment.

Media

Media

Integrations Supported

Artificio
Azure Blob Storage
Azure Data Lake Storage
Azure Marketplace
Azure SQL Database
Azure Synapse Analytics
Bobsled
Microsoft Azure

Integrations Supported

AVEVA Connect
AVEVA Historian
AVEVA PI System
PARCview
Rayven

API Availability

Has API

API Availability

Pricing Information

$0.05 per dataset-snapshot
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/data-share

Company Facts

Organization Name

AVEVA

Company Location

Untied Kingdom

Company Website

www.aveva.com/en/products/aveva-data-hub/

Categories and Features

Big Data

Not specified

Data Collaboration

Not specified

Categories and Features

Data Management

Not specified

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