Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
To achieve greater operational efficiency, enhance sustainability, and facilitate digital transformation, businesses must find economical methods to gather, store, and disseminate essential industrial data. By consolidating and analyzing this information, organizations gain a comprehensive view that can be securely shared with trusted partners both within and outside the organization, enabling access to additional expertise. Utilizing the Software as a Service (SaaS) capabilities of our industrial cloud platform, AVEVA Connect, AVEVA Data Hub eliminates obstacles to data sharing, harnessing the scalability and flexibility of cloud technology. This platform ensures secure access to real-time data for users located remotely or operating outside the corporate network. As a fully managed, cloud-native SaaS solution, AVEVA Data Hub is instantly available, requiring no setup time. Furthermore, it can be effortlessly scaled according to demand without necessitating extra infrastructure or IT personnel. With native integrations with AVEVA™ PI System, AVEVA™ Historian, and Edge Data Store, businesses can migrate their operational data to the cloud at a pace that suits them, ensuring a smooth transition to modern data management practices. Ultimately, this approach empowers companies to fully leverage their data's potential while maintaining control and security.
Description
Facilitate rapid and secure data sharing by creating an engaging marketplace that allows users to access data with assurance. Promote the responsible distribution of verified data products that drive analytical and AI efforts. Empower teams to independently discover, request, and assess pertinent data through self-service capabilities. Ensure that trusted data sharing is automated in compliance with governance standards. Distribute and highlight curated datasets, AI/ML models, and pipelines from a diverse array of sources. Enhance efficiency by streamlining processes from ordering to delivery while providing easy tracking of operational metrics. Foster improved data literacy through actionable insights and reviews, guiding users on optimal data-driven decisions. Use communication tools like chat, reviews, alerts, and user ratings to share insights and foster collaboration among teams across the organization. A data-sharing marketplace serves as a crucial link between data providers and consumers, allowing for seamless access to valuable information. Such a marketplace empowers organizations to swiftly locate, comprehend, trust, and utilize relevant data through automated processes, ultimately enhancing decision-making capabilities. By bridging the gap between data supply and demand, it cultivates a culture of data-driven innovation and collaboration.
API Access
Has API
No
API Access
Has API
No
Integrations
AVEVA Connect
Yes
AVEVA Historian
Yes
AVEVA PI System
Yes
PARCview
Yes
Rayven
Yes
Integrations
AVEVA Connect
No
AVEVA Historian
No
AVEVA PI System
No
PARCview
No
Rayven
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
AVEVA
Country
Untied Kingdom
Website
www.aveva.com/en/products/aveva-data-hub/
Vendor Details
Company Name
Informatica
Founded
1993
Country
United States
Website
www.informatica.com/products/data-governance/cloud-data-marketplace.html
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No