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Description
QuickHMI, developed by Indi.An GmbH in Bremen, Germany, is a cloud-based HMI and SCADA solution that has been providing automation software since 2006. Users can create their visualizations using a Windows editor, which can then be deployed across various platforms including Windows, Linux, Docker, or Raspberry Pi. The system allows operators to access their interfaces through any contemporary web browser, a dedicated viewer, or via a mobile application. There is no need for client installations or licenses, as QuickHMI does not impose follow-up costs for licensing; it does not charge for runtimes or tags. All commercial editions come with unlimited access to data sources, variables, alarms, pages, and concurrent sessions. QuickHMI supports a wide range of connectivity options, including Siemens S7, Modbus, Beckhoff TwinCAT, OPC UA, MQTT, KNX/EIB, Allen-Bradley, BACnet, SQL databases, InfluxDB, and various web services. The engineering process is facilitated by a user-friendly drag-and-drop interface that incorporates SVG graphics along with approximately 4,000 pre-designed controls, comprehensive alarm management features, recipe management, and user management with role-based permissions. Additionally, it offers responsive design breakpoints and the flexibility to integrate custom HTML5 and JavaScript elements. Users also benefit from twelve months of support and access to major upgrades, making it an attractive option for business clients. The platform stands out in the market for its comprehensive features and cost-effective licensing model.
Description
It facilitates device connectivity through widely accepted IoT protocols such as MQTT, CoAP, and HTTP, accommodating both cloud and local installations. ThingsBoard is engineered for scalability, reliability, and high performance, ensuring that your data remains secure and intact. You can provision, monitor, and manage your IoT devices securely by utilizing comprehensive server-side APIs. Establish connections among your devices, assets, customers, or other entities with ease. Efficiently gather and archive telemetry data in a scalable and resilient manner. You can visualize your data using either built-in or personalized widgets and adaptable dashboards, which can also be shared with clients. The platform allows you to create data processing rule chains, enabling you to transform and standardize your device data. It can trigger alerts based on incoming telemetry events, updates to attributes, periods of device inactivity, and user interactions. Build a ThingsBoard cluster to achieve maximum scalability and fault tolerance through a microservices architecture. Furthermore, ThingsBoard accommodates both cloud and on-premises setups, making it a versatile choice for various deployment needs. This flexibility ensures that users can tailor their IoT solutions according to specific requirements and preferences.
API Access
Has API
API Access
Has API
Integrations
Azure Marketplace
SIGNL4
hopit Manufacturing
Pricing Details
EUR 1,490 one-time (single dev
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Indi.An GmbH
Founded
2006
Country
Germany
Website
www.indi-an.com
Vendor Details
Company Name
Thingsboard
Country
Ukraine
Website
thingsboard.io
Product Features
Product 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