Deploy
DeviceHive has various deployment options, and that is why it fits ideal for every company
either it is a mature enterprise or a small start-up. With the docker compose and kubernetes
deployment options, you can go with private, public or hybrid cloud and scale from a single
virtual machine, to enterprise grade cluster.
Don’t have time to deploy? Make yourself familiar with the DeviceHive with zero deployment -
sign up for our free public
playground.
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Scale
From prototyping to enterprise solutions — one small step with DeviceHive, one giant leap
for your business. DeviceHive allows you to think about business development instead of
technical formalities.
DeviceHive employs the best software design practices, introducing container based service
oriented architecture approach managed and orchestrated by Kubernetes. It brings highly
granular scalability and availability enabling to scale out in seconds to handle growing
production volumes.
Connect
Connect any device via REST API, WebSockets or MQTT. The DeviceHive team supports libraries
written in various programming languages, including Android and iOS libraries which make the
platform device-agnostic. You can even connect such low-end wi-fi enabled devices as
ESP8266.
Check-out more on client libraries
here.
Integrate
Easily integrate DeviceHive with any other device clouds or platforms by using supported
protocols and employing plugin service feature. You can directly integrate with Alexa,
visualization dashboard of your choice and much more or just customize DeviceHive behavior
by running your custom javascript code.
Analyze
DeviceHive gives you the foundation to quickly build analytics the way you want it
leveraging the world’s best big data solutions: ElasticSearch, Apache Spark, Cassandra and
Kafka for real-time and batch processing. It comes with Apache Spark and Spark Streaming
support, which means you can run batch analytics and machine learning on top of your device
data.
Open Source
DeviceHive is distributed under Apache 2.0 license - free for use and change. It gives you
visibility into platform’s architecture and implementation. Do your personal due diligence
of DeviceHive, explore it on GitHub.
DeviceHive is commercially supported by DataArt’s Internet of Things practice professional
consultants and engineers.
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