Average Ratings 0 Ratings
Average Ratings 91 Ratings
Description
FairCom EDGE makes it easy to integrate sensor and machine data at their source - be that a factory, water treatment facility, oil platform, wind farm, or other industrial site. FairCom EDGE is the first converged IoT/Industrial IoT hub in the world. It unifies messaging and persistence with an all-in one solution. It also offers browser-based administration, configuration, and monitoring. FairCom EDGE supports MQTT, OPC UA and SQL for machine-tomachine (M2M), communication, and HTTP/REST for monitoring and real-time reporting. It constantly retrieves data from sensors and devices with OPC UA support and receives messages from machines with MQTT support. The data is automatically parsed and persisted, and made available via MQTT or SQL.
Description
The HiveMQ Platform provides a scalable, reliable data backbone with an event-driven MQTT architecture. Here are a few highlights:
1. MQTT Broker: At the heart of the HiveMQ platform is a fully MQTT-compliant broker purpose-built for fast, reliable, bi-directional data movement between IoT devices and enterprise systems.
2. Edge Data Integration: HiveMQ Edge seamlessly integrates edge data by converting industrial protocols into standardized MQTT, enabling an interoperable IIoT infrastructure.
3. IoT Streaming Governance: Data Hub transforms data in flight, passing only the most relevant, contextualized data to cloud and enterprise systems.
4. UNS & IT/OT convergence Enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability.
5. Distributed Data Intelligence: HiveMQ Pulse unifies and contextualizes data across the enterprise for smarter decisions exactly where they matter most.
6. Maximum Interoperability: Runs anywhere on-premises or in public or private clouds. Efficiently connects to streaming applications, databases and data lakes with a Java SDK to build your own
7. Scalability to Support Growth: Elastic scaling with automatic data balancing and smart message distribution. Proven benchmark of up to 200M active clients with 1.8B messages/hour
8. Business Critical Reliability: Zero message loss with persistence to disk and offline queuing. No single point of failure due to masterless cluster architecture and zero downtime upgrades
API Access
Has API
No
API Access
Has API
No
Integrations
Apache Kafka
Yes
AWS Glue
Yes
AWS IoT Core
Yes
ActiveMQ
Yes
Amazon Kinesis
No
Boomi
Yes
CData Drivers
Yes
Cogent DataHub
No
Docker
No
Hadoop
Yes
Integrations
Apache Kafka
Yes
AWS Glue
No
AWS IoT Core
No
ActiveMQ
No
Amazon Kinesis
Yes
Boomi
No
CData Drivers
No
Cogent DataHub
Yes
Docker
Yes
Hadoop
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$0.34/hour
Please visit our pricing page for more information.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
No
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
FairCom
Founded
1979
Country
United States
Website
www.faircom.com/products/faircom-edge
Vendor Details
Company Name
HiveMQ
Founded
2012
Country
Germany
Website
www.hivemq.com
Product Features
IoT
Application Development
Yes
Big Data Analytics
Yes
Configuration Management
Yes
Connectivity Management
Yes
Data Collection
Yes
Data Management
Yes
Device Management
Yes
Performance Management
Yes
Prototyping
Yes
Visualization
Yes
Product Features
Industrial IoT
Condition Monitoring
No
Data Visualization
No
Factory Data Analytics
No
Machine Learning
No
Machine Workflow Creation
No
Predictive Maintenance
No
Production Line / Factory Insights
No
Real-Time Monitoring
No
Reporting / Analytics
No
Smart Alerts / Notifications
No
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No
Message Queue
Asynchronous Communications Protocol
Yes
Data Error Reduction
No
Message Encryption
No
On-Premise Installation
Yes
Roles / Permissions
No
Storage / Retrieval / Deletion
No
System Decoupling
No
