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Description
DataHUB+ is a next-generation process data historian and visualization platform. Monitor assets and systems across a network in real time, and obtain rapid insights with in-built analytics and visualization tools, to see what is happening in any facility, plant, or system at any time.
DataHUB+ is equipment and sensor agnostic, and can easily import data from any IoT device or sensor, regardless if it is structured or unstructured. As a result, DataHUB+ quickly becomes the source of truth, storing all operational data securely and reliably. The platform automatically checks data quality before it is ingested and alerts teams if there are any problems.
DataHUB+ does not rely on costly IT infrastructure like traditional process historians, and is easily scalable to support enterprise data management needs.
The platform can be used seamlessly with VROC's AI solution OPUS, for forecasting, predictive maintenance and advanced analytics.
Eliminate data silos and data wrangling in your organization, and start improving data-led decision making. Gain insights into your operations with DataHUB+.
Description
Transform the way you view time in data analytics. With the ability to access your business data almost instantly, you can operate directly from your dashboard without the need to consult the IT team repeatedly. Introducing Indexima DataHub, a revolutionary environment that empowers both operational and functional users to obtain immediate access to their data. Through an innovative fusion of a specialized indexing engine and machine learning capabilities, Indexima enables organizations to streamline and accelerate their analytics processes. Designed for robustness and scalability, this solution allows companies to execute queries on vast amounts of data—potentially up to tens of billions of rows—in mere milliseconds. The Indexima platform facilitates instant analytics on all your data with just a single click. Additionally, thanks to Indexima's new ROI and TCO calculator, you can discover the return on investment for your data platform in just 30 seconds, taking into account infrastructure costs, project deployment duration, and data engineering expenses while enhancing your analytical capabilities. Experience the future of data analytics and unlock unprecedented efficiency in your operations.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AVEVA Historian
Yes
AVEVA PI System
Yes
Amazon Redshift
No
Amazon S3
No
Amazon Web Services (AWS)
No
Azure Industrial IoT
Yes
Cloudera
No
Google Cloud Platform
No
Hadoop
No
IBM Cognos Analytics
No
Integrations
AVEVA Historian
No
AVEVA PI System
No
Amazon Redshift
Yes
Amazon S3
Yes
Amazon Web Services (AWS)
Yes
Azure Industrial IoT
No
Cloudera
Yes
Google Cloud Platform
Yes
Hadoop
Yes
IBM Cognos Analytics
Yes
Pricing Details
Competitive pricing structure based on number of tags. Includes unlimited users and data analytics
Free Trial
No
Free Version
No
Pricing Details
$3,290 per month
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
VROC
Founded
2016
Country
Australia
Website
vroc.ai/products/datahub/
Vendor Details
Company Name
Indexima
Country
United States
Website
indexima.com/en/home/
Product Features
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
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
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
