eHiveVernon Systems
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About
HiveMQ is the Industrial AI Platform helping enterprises move from connected devices to intelligent operations. Built on the MQTT standard and a distributed edge-to-cloud architecture, HiveMQ connects and governs industrial data in real time, enabling organizations to act with intelligence. With proven reliability, scalability, and interoperability, HiveMQ provides the foundation industrial companies need to operationalize AI, powering the next generation of intelligent industry. Global leaders including Audi, BMW, Eli Lilly, Liberty Global, Mercedes-Benz, and Siemens trust HiveMQ to run their most mission-critical operations.
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About
eHive is a web-based collection cataloging system. Our system is used worldwide by hundreds of museums, societies, and private collectors to catalog objects, store images, manage acquisition information, and publish their collections online. eHive can be accessed from any computer or device running a web browser, including PCs, Mac, and mobiles. We take care of hosting and backing up your data, so your collection information is both secure and readily accessible. We also perform all of the system upgrades so any enhancements to eHive are made immediately available to you. eHive is a cloud-based, cost-effective option to publish your collection online. Let us take care of the technology. eHive gives simple ways to share your data with popular aggregation sites like Trove (Australia) and Digital NZ. Maintain your branding and present your collection with all the freedom of the WordPress content management system.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
IoT Developers, Solution Architects, Technical Architects, CTOs, OT/IT Engineer
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Audience
Companies and professionals seeking an online cataloguing and publishing solution
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0.34/hour
Please visit our pricing page for more information.
Free Version
Supported
Free Trial
Supported
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Pricing
$99 per year
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
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Company InformationHiveMQ
Founded: 2012
Germany
www.hivemq.com
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Company InformationVernon Systems
Founded: 1985
New Zealand
vernonsystems.com/products/ehive/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Message Queue Features
Asynchronous Communications Protocol
Supported
Data Error Reduction
Not Supported
Message Encryption
Not Supported
On-Premise Installation
Supported
Roles / Permissions
Not Supported
Storage / Retrieval / Deletion
Not Supported
System Decoupling
Not Supported
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Museum Features
Collections Management
Supported
Event Management
Not Supported
Exhibit Management
Not Supported
Gift Shop POS
Not Supported
Grant Management
Not Supported
Insurance Management
Not Supported
Membership Management
Not Supported
Ticketing
Not Supported
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Integrations
Amazon Kinesis
Supported
Amazon Web Services (AWS)
Supported
Apache Kafka
Supported
Cogent DataHub
Supported
Docker
Supported
Google Cloud Pub/Sub
Supported
InfluxDB
Supported
Kubernetes
Supported
Microsoft Azure
Supported
MongoDB Atlas
Supported
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Integrations
Amazon Kinesis
Not Supported
Amazon Web Services (AWS)
Not Supported
Apache Kafka
Not Supported
Cogent DataHub
Not Supported
Docker
Not Supported
Google Cloud Pub/Sub
Not Supported
InfluxDB
Not Supported
Kubernetes
Not Supported
Microsoft Azure
Not Supported
MongoDB Atlas
Not Supported
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