Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
Categories in common with WolkSensor:Google Cloud IoT Core is a fully managed service that allows users to easily and securely connect, manage, and ingest data from millions of globally dispersed devices.
Categories in common with WolkSensor:IBM Watson IoT Platform is a managed, cloud-hosted service designed to make it simple to derive value from your Internet of Things devices.
Categories in common with WolkSensor:Azure IoT Central brings the Internet of your things to life by connecting your devices, analyzing previously- untapped data, and integrate business systems and transforming your company when you uncover new business models and revenue streams.
Categories in common with WolkSensor:Azure IoT Hub is a scalable, multi-tenant cloud platform (IoT PaaS) that includes an IoT device registry, data storage, and security. It also provides a service interface to support IoT application development.
Categories in common with WolkSensor:The open data platform for the Internet of Things
Categories in common with WolkSensor:The Cellular Connectivity Platform for IoT.
Categories in common with WolkSensor:AWS IoT Device Management makes it easy to securely onboard, organize, monitor, and remotely manage IoT devices at scale. IoT Device Management lets you register your devices individually or in bulk, and manage permissions so that devices remain secure.
Categories in common with WolkSensor:Knowi is a complete business intelligence platform designed for enterprises, of any size, who want to unify analytics across their modern data stack and drive actions that matter.
Categories in common with WolkSensor:AWS IoT Analytics is a fully-managed service that makes it easy to run sophisticated analytics on massive volumes of IoT data without having to worry about all the cost and complexity typically required to build your own IoT analytics platform.
Categories in common with WolkSensor:Ayla's Agile Mobile Application Platform (AMAP) jump-starts the development of iOS and Android apps for controlling IoT devices of any kind.
Categories in common with WolkSensor:Axonize is a self-service, SaaS platform that enables connected devices to communicate and interact with mobile and web applications.
Categories in common with WolkSensor:Platform as a Service designed for Internet of Things projects Data storage, powerful app engine, easy integration Start now with our free account
Categories in common with WolkSensor:Fully managed cloud services and connectivity for IoT solution developers
Categories in common with WolkSensor:Predix, the operating system for the Industrial Internet, is powering digital industrial businesses that drive the global economy.
Categories in common with WolkSensor:ThingsBoard is an open-source IoT platform for data collection, processing, visualization, and device management. It enables device connectivity via industry standard IoT protocols - MQTT, CoAP and HTTP and supports both cloud and on-premises deployments. ThingsBoard combines scalability, fault-tolerance and performance so you will never lose your data.
Categories in common with WolkSensor:Oracle IoT Asset Monitoring Cloud Service is a specialized Oracle Internet of Things Cloud Service applicationwhich allows you to monitor the location, condition, and utilization of assets.
Categories in common with WolkSensor:A high volume data acquisition engine combined with BigData storage, data summarization and notification features allow you to focus on building your applications knowing your infrastructure can scale to millions of devices.
Categories in common with WolkSensor:Agile analytics and reporting tool, which enables business users to make informed decisions from real-time business data
Categories in common with WolkSensor:Oracle offers the broadest choice of cloud solutions to simplify IT and power innovation.
Categories in common with WolkSensor: