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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 Cogent DataHub?

Gather all data from various sources and protocols into a single, extensive data set through the Cogent DataHub application. Clients have the ability to access any selected portion of this integrated data via a multitude of supported protocols, which include, but are not limited to, OPC UA, OPC Classic, Modbus, MQTT, DDE, TCP, ODBC, HTTP, and XML. This flexible data set enables a wide range of applications, such as connecting OPC servers with clients, enabling monitoring and supervisory control, archiving data to real-time historians or SQL databases, establishing alarms and alerts based on data changes, and conducting real-time analysis right within Excel. Furthermore, this holistic approach not only streamlines operations but also fosters improved collaboration and informed decision-making by granting easy access to essential information across various platforms and devices. Consequently, organizations can enhance their responsiveness and agility in a rapidly changing data landscape.

Media

Media

Integrations Supported

AVEVA Historian
AVEVA PI System
AWS Amplify
AWS IoT Core
Aspen HYSYS
Azure Industrial IoT
Azure Marketplace
Canary Historian
ControlST
DCS
FactoryTalk Historian
Google Cloud IoT
Ignition SCADA
Microsoft Entra ID
RPA Supervisor
SIMATIC SCADA

Integrations Supported

AVEVA Historian
AVEVA PI System
AWS Amplify
AWS IoT Core
Aspen HYSYS
Azure Industrial IoT
Azure Marketplace
Canary Historian
ControlST
DCS
FactoryTalk Historian
Google Cloud IoT
Ignition SCADA
Microsoft Entra ID
RPA Supervisor
SIMATIC SCADA

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

VROC

Date Founded

2016

Company Location

Australia

Company Website

vroc.ai/products/datahub/

Company Facts

Organization Name

Cogent

Company Location

Canada

Company Website

cogentdatahub.com/products/cogent-datahub/

Categories and Features

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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