Average Ratings 91 Ratings
Average Ratings 0 Ratings
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
Description
Prescient Designer allows customers to easily access all data sources, whether they are cloud-based, network edge, or both. This makes it possible for them to create a complete solution. Users can quickly create and manage hundreds of flexible data models and distributed data pipelines, as well as automated workflows and IIoT solutions. They can extract, cleanse and transform, visualize, analyze, and load data from any source.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Amazon Kinesis
Yes
Amazon Web Services (AWS)
Yes
Apache Kafka
Yes
Cogent DataHub
Yes
Docker
Yes
Google Cloud Pub/Sub
Yes
InfluxDB
Yes
Kubernetes
Yes
Microsoft Azure
Yes
MongoDB Atlas
Yes
Integrations
Amazon Kinesis
No
Amazon Web Services (AWS)
No
Apache Kafka
No
Cogent DataHub
No
Docker
No
Google Cloud Pub/Sub
No
InfluxDB
No
Kubernetes
No
Microsoft Azure
No
MongoDB Atlas
No
Pricing Details
$0.34/hour
Please visit our pricing page for more information.
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
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
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
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
No
Vendor Details
Company Name
HiveMQ
Founded
2012
Country
Germany
Website
www.hivemq.com
Vendor Details
Company Name
Prescient
Founded
2018
Country
United States
Website
www.prescientdevices.com
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
Product Features
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
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