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What is DataHUB+?
DataHUB+ represents an advanced process data historian and visualization solution for modern enterprises. It empowers users to monitor assets and systems in real-time across extensive networks, providing quick insights through integrated analytics and visualization tools, enabling visibility into the status of any facility, plant, or system at any given moment.
Being agnostic to equipment and sensors, DataHUB+ can effortlessly import data from any IoT devices or sensors, regardless of whether the data is structured or unstructured. This adaptability allows DataHUB+ to establish itself as the definitive source of truth, ensuring all operational data is securely and reliably stored. Additionally, the platform proactively assesses data quality prior to ingestion and notifies teams of any issues that arise.
Unlike traditional process historians that depend on expensive IT infrastructure, DataHUB+ is designed for easy scalability to meet the demands of enterprise data management. Furthermore, it integrates seamlessly with VROC's AI solution OPUS, facilitating forecasting, predictive maintenance, and sophisticated analytics.
By removing data silos and minimizing data wrangling within organizations, DataHUB+ enhances data-driven decision-making processes. Organizations can harness DataHUB+ to gain deeper insights into their operations and drive significant improvements in efficiency.
What is AVEVA PI System?
The PI System unlocks a wealth of operational insights and creates avenues for innovation. By delivering dependable and high-caliber operations data, it streamlines the journey toward digital transformation. This system enables data to be gathered, refined, and delivered in real-time from virtually any source. It equips engineers and operators with powerful tools while speeding up the analytical processes for data scientists. Furthermore, the PI System encourages new business opportunities through the aggregation of real-time information from a wide range of assets, including legacy systems, specialized equipment, remote devices, mobile technology, and IIoT innovations. It guarantees that users can retrieve their data regardless of where it resides or its format, thus facilitating the storage of extensive historical data at exceptional sub-second resolution. Organizations benefit from immediate access to high-fidelity historical, real-time, and predictive data, allowing them to uphold vital operations and extract significant business insights. By employing user-friendly labels and metadata, the data becomes more insightful, enabling users to create hierarchies that match their operational and reporting needs. This added context provides a comprehensive view, allowing individuals to connect data points to the larger narrative and make more educated choices. Consequently, the PI System not only boosts operational productivity but also propels strategic initiatives that have the potential to revolutionize entire industries. Ultimately, embracing the PI System can lead to a competitive advantage in a rapidly evolving market landscape.
Integrations Supported
AVEVA PI System
AWS Amplify
Aspen HYSYS
Azure Industrial IoT
Canary Historian
ControlST
DCS
Integrations Supported
AVEVA System Platform
Braincube
Cogent DataHub
API Availability
Has API
API Availability
Pricing Information
Competitive pricing structure based on number of tags. Includes unlimited users and data analytics
Pricing Information
Pricing not provided
Supported Platforms
SaaS
On-Prem
Supported Platforms
SaaS
Windows
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Company Facts
Organization Name
VROC
Date Founded
2016
Company Location
Australia
Company Website
vroc.ai/products/datahub/
Company Facts
Organization Name
AVEVA
Date Founded
1967
Company Location
United Kingdom
Company Website
www.aveva.com/en/products/aveva-pi-system/
Categories and Features
Data Historians
Not specified
Categories and Features
Big Data
Collaboration
Data Blends
Data Mining
Data Visualization
Data Warehousing
Predictive Analytics
Templates
Data Historians
Not specified
Data Management
Not specified
Meter Data Management
Not specified