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Ratings and Reviews 0 Ratings
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UTunnel VPN and ZTNAUTunnel Secure Access offers solutions including Cloud VPN, ZTNA, and Mesh Networking to facilitate secure remote connections and reliable network performance. ACCESS GATEWAY: Our Cloud VPN as a Service allows for the rapid deployment of VPN servers on either Cloud or On-Premise setups. By employing OpenVPN and IPSec protocols, it ensures secure remote connections complemented by policy-driven access controls, enabling businesses to establish a robust VPN network effortlessly. ONE-CLICK ACCESS: The Zero Trust Application Access (ZTAA) feature revolutionizes secure interaction with internal business applications such as HTTP, HTTPS, SSH, and RDP. Users can conveniently access these services via their web browsers without the necessity of any client-side applications. MESHCONNECT: This solution, combining Zero Trust Network Access (ZTNA) and mesh networking, offers detailed access controls tailored to specific business network resources and fosters the formation of secure, interconnected business networks for enhanced collaboration. SITE-TO-SITE VPN: Additionally, the Access Gateway allows for the establishment of secure IPSec Site-to-Site tunnels, which facilitate connections between UTunnel's VPN servers and other network infrastructure components like gateways, firewalls, routers, and unified threat management (UTM) systems, thereby enhancing overall network security. By integrating these features, UTunnel Secure Access is committed to providing comprehensive solutions that meet the evolving needs of modern businesses.
What is IoTWorX?
IoTWorXâ„¢ combines the cutting-edge IoT software solutions from ICONICS with its well-established HMI/SCADA systems, analytics tools, and cloud-based mobile applications. This innovative platform equips manufacturers and facility managers with crucial IoT functionalities, including asset connectivity, secure communications via the cloud, and integrated real-time visualization options. With the implementation of edge analytics, latency is significantly minimized, while FDD technology is utilized to drive cost efficiencies and improve operational performance. Additionally, users benefit from the adaptability to connect seamlessly with a wide range of automation devices through various supported industry protocols such as OPC UA, BACnet, SNMP, Modbus, web services, and traditional OPC tunneling. This all-encompassing strategy empowers businesses to sustain a competitive advantage in their respective fields. By leveraging these advanced features, organizations can enhance their decision-making processes and ultimately improve their bottom line.
What is Google Cloud IoT Core?
Cloud IoT Core serves as a robust managed service that streamlines the secure connection, management, and data collection from a diverse range of devices worldwide. By seamlessly integrating with other offerings on the Cloud IoT platform, it delivers a comprehensive method for the real-time gathering, processing, analysis, and visualization of IoT data, significantly boosting operational efficiency. Utilizing Cloud Pub/Sub, Cloud IoT Core amalgamates data from multiple devices into a unified global framework that aligns effortlessly with Google Cloud's data analytics capabilities. This integration enables users to tap into their IoT data streams for advanced analytics, visual representations, and machine learning initiatives, leading to enhancements in workflows, proactive issue resolution, and the creation of strong models that optimize business functions. Moreover, it facilitates secure connections for any scale of devices—ranging from a handful to millions—through protocol endpoints that support automatic load balancing and horizontal scaling, which guarantees effective data ingestion in any circumstance. Consequently, organizations can derive crucial insights and enhance their decision-making processes by leveraging the potential of their IoT data, ultimately paving the way for greater innovation and progress. This transformative approach positions businesses to respond swiftly to market demands and operational challenges.
Integrations Supported
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Platform
Google Cloud Trace
Google Data Studio
Hyper Historian
Microsoft Azure
Vertex AI
Integrations Supported
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Platform
Google Cloud Trace
Google Data Studio
Hyper Historian
Microsoft Azure
Vertex AI
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.00045 per MB
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
Iconics
Date Founded
1986
Company Location
United States
Company Website
iconics.com/Products/IoTWorX
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
cloud.google.com/iot-core/
Categories and Features
Industrial IoT
Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking