Average Ratings 77 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
eHive serves as an online cataloging platform designed for collections, utilized globally by numerous museums, organizations, and individual collectors. This innovative system enables users to catalog items, store images, oversee acquisition details, and showcase their collections on the internet. Accessible from any device equipped with a web browser, including desktops, laptops, and smartphones, eHive ensures that your collection's information is both secure and easily retrievable, as we handle all data hosting and backups. Additionally, we manage all system updates, guaranteeing that you have immediate access to the latest features of eHive. As a cloud-based and budget-friendly solution, eHive simplifies the process of sharing your collection online. Allow us to manage the technical aspects so you can focus on your collection. Furthermore, eHive offers straightforward methods to share data with major aggregation platforms such as Trove in Australia and Digital NZ, while ensuring that your branding is preserved and that you can present your collection with the same flexibility provided by the WordPress content management system. Ultimately, eHive empowers you to effectively manage and promote your collection with ease.
API Access
Has API
API Access
Has API
Integrations
Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Docker
Google Cloud Pub/Sub
InfluxDB
Kubernetes
Microsoft Azure
MongoDB Atlas
Integrations
Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Docker
Google Cloud Pub/Sub
InfluxDB
Kubernetes
Microsoft Azure
MongoDB Atlas
Pricing Details
$0.34/hour
Free Trial
Free Version
Pricing Details
$99 per year
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
HiveMQ
Founded
2012
Country
Germany
Website
www.hivemq.com
Vendor Details
Company Name
Vernon Systems
Founded
1985
Country
New Zealand
Website
vernonsystems.com/products/ehive/
Product 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
Message Queue
Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling
Product Features
Museum
Collections Management
Event Management
Exhibit Management
Gift Shop POS
Grant Management
Insurance Management
Membership Management
Ticketing