What is DeviceHive?

DeviceHive serves as an open-source platform for IoT data, providing a wide range of integration options. Its flexible deployment strategies cater to organizations of all sizes, making it ideal for both large corporations and new startups. Users can choose deployment methods like Docker Compose and Kubernetes, allowing them to operate in private, public, or hybrid cloud settings and seamlessly scale from a single virtual machine to an expansive enterprise cluster. For those pressed for time, DeviceHive offers a public playground for exploration without the need for installation. Whether you are in the early stages of prototyping or working on extensive enterprise applications, a minor investment in DeviceHive can yield significant benefits for your organization. This platform empowers you to focus on business expansion rather than becoming overwhelmed by technical details. Moreover, DeviceHive adheres to high software design standards, employing a container-based, service-oriented architecture managed by Kubernetes, which guarantees both efficiency and adaptability. By choosing DeviceHive, you not only embrace the future of IoT but also revolutionize your approach to project execution and innovation. With its user-friendly features, DeviceHive is poised to enhance your IoT journey.

Integrations

Offers API?:
Yes, DeviceHive provides an API

Screenshots and Video

DeviceHive Screenshot 1

Company Facts

Company Name:
DeviceHive
Date Founded:
2012
Company Website:
www.youtube.com/watch

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Video Library
Support
24 Hour Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

DeviceHive Categories and Features

IoT Analytics Software

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