Best IoT Analytics Software for Google Cloud Platform

Ayla is truly agnostic and supports device connectivity across common transport protocols, connectivity pathways, and cloud infrastructure platforms. Ayla's vast array of agents can seamlessly integrate with HTTPS, MQTT and CoAP. They are pre-built for embedded solutions, gateways and Android, Linux, BLE/phone, and cloud integrations. Ayla's Virtualization Engine allows for a robust digital twin of the physical device, which lays the foundations for device management at IoT scale. Ayla's Device Management offers full support for connected products through their entire lifecycle. It includes battle-tested features such as rules engine, firmware OTA update, data policies, and many more. Ayla's application support can help you extract strong business value from your data using a variety of methods. A Web Framework and Mobile Platform SDK allow for rapid development of mobile and business applications. You can also get customer care, field service, and asset tracking.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

Cloud IoT Core, a fully managed service, allows you to connect securely, manage, and ingest data across millions of devices worldwide. Cloud IoT Core can be used in conjunction with other services on the Cloud IoT platform to provide a complete solution for gathering, processing, analyzing and visualizing IoT data. This will help improve operational efficiency. Cloud IoT Core can combine dispersed device data into one global system that seamlessly integrates with Google Cloud data analytics services. Your IoT data stream can be used for advanced analytics, visualizations and machine learning. This will help you improve operational efficiency, predict problems, and create rich models that better describe your business. You can securely connect millions or a few of your globally distributed devices using protocol endpoints that use horizontal scaling and automatic load balancing to ensure data ingestion under all conditions.

The Edge allows you to analyze and take action on your data. Big Data can be made small and relevant. All your assets can be used to collect sensor data. Connect any sensor, PLC or DCS and Historian. Condition monitoring of remote assets. Industry 4.0 data collection and integration Data flows can combine streaming and enterprise data. You can use your favorite Cloud Provider, or your own data centre for data storage. Crosser Edge MLOps functionality allows you to create, manage, and deploy your own ML models. Crosser Edge Node can run any ML framework. Crosser cloud central resource library for your trained model. Drag-and-drop is used for all other steps of the data pipeline. One operation is all it takes to deploy ML models on any number of Edge Nodes. Crosser Flow Studio enables self-service innovation. A rich library of pre-built modules is available. Facilitates collaboration between teams and sites. No more dependence on a single member of a team.

Modular IoT platform allowing for best-of-breed OEM technology to back-end development and operations. This enables IoT solution delivery at scale. Advanced rule logic modeling, execution, and lifecycle management. Automate any data workflow from the simple to complex. Waylay platform was built from the ground up in order to natively deal with multiple data patterns such as IoT, OT, and IT. The same platform allows you to combine streaming and time series analytics. You can quickly deliver self-service and KPI-centric apps for IoT solutions to non-developer groups, accelerating the time to market. The benchmark will help you determine which automation tools are best suited for your IoT use case. IoT application development differs fundamentally from normal IT development. It involves bridging the physical world with Operations Technology (OT), actuators, sensors, and gateways to the digital realm of Information Technology (IT).

Use IoT-enriched business insight to embed in and expand business processes for transformative results. The SAP Internet of Things solution can address industrial IoT use case. It is the IoT layer in SAP's Business Technology Platform and allows users to reimagine business models and business processes using embedded IoT data and services. The SAP Internet of Things solution (SAP IoT), has a reference architecture that provides business services and specific capabilities to address industrial IoT use case across manufacturing, supply chain logistics, products, service management, and other areas. Cloud service for building IoT apps and integrating to business applications. Big Data that is integrated and managed. IoT data enhanced with business context, rules and an event-driven integration framework. Analytical services that allow live integration to SAP Analytics Cloud.

You can get business value out of your IoT data, and you can meet challenges in IoT environments with many devices and applications. Cisco Kinetic can help you securely connect your devices. You can increase compute power from the edge to the cloud, anywhere in your network. To improve business results, you can selectively move data to the right applications. Cisco Kinetic has two modules that can be used together to securely connect devices and extract, compute, and move your IoT data. Compute data in distributed nodes. Critical decisions should be made near the point of action to maximize network resources. According to data owner policy, the right data can be moved from different connected devices to the correct cloud-based applications at the right time. Our end-to-end IoT portfolio will improve your business results. Securely connect assets and applications in real-time to make transformative business changes in both carpeted or non-carpeted areas.

Within six months, you can launch secure, scalable, and globally compliant connected products and services. Prodea provides the only IoT platform-as-a-service (PaaS) that was specifically designed for manufacturers of mass-market consumer home products. It consists of three main services. IoT Service XChange Platform, which allows you to quickly launch connected products and services in global markets without any development. Insight™, Data Services, to gain key insights through product and user usage data. EcoAdaptor™, to increase product value through cloud integration and interoperability. Prodea has helped global brand customers launch more than 100 connected products in six continents in six months. The Prodea X5 Program was used to make this possible. It was created to work with our three main cloud service to help brands develop their systems.

Simplified IT/OT Integration, Data Engineering & Real-Time Edge Intelligence. Easy to use, cross platform, open architecture edge computing for industrial time series data. Foghub provides the Critical-Path for IT/OT convergence. It connects Operations (Sensors and Devices, and Systems) and Business (People, Processes and Applications). This allows automated data acquisition, transformations, advanced analytics, and ML. You can manage large volumes, velocity, and variety of industrial data with the out-of-the box support for all data types, most industrial network protocols, OT/lab system, and databases. Automate data collection about your production runs, batches and parts, as well as process parameters, asset condition, performance, utility costs, consumables, operators and their performance. Foghub is designed for scale and offers a wide range of capabilities to handle large volumes of data at high velocity.

C3 AI®, Sensor Health ensures operational effectiveness of IoT device and network infrastructure throughout the deployment and operation life cycles. Visualize sensor status, deployment progress, geographic regions of concern, as well as a prioritized view to sensors with identified health problems. Identify sensor deployment issues, identify the source of sensor malfunctions and optimize field service. Forecast future deployment progress. Ensure that device installation information is consistent across cloud and source data systems. To optimize field service and problem resolution, monitor and analyze the physical integrity, functionality, communication, and functionality of sensor devices. Visualize the planned sensor deployment, actual deployment and provisioning, trends and issues, as well as service priorities. Pre-formatted and custom reports are available to present analyses and summarize the results, including failure analysis and health analysis.

Urbanization is increasing at an unprecedented pace, making it more difficult for planners and administrators to provide safe, sustainable, and intelligent cities and work environments for their occupants. Their challenge is to create more sustainable urban living environments and work environments with limited resources. To achieve sustainable living and economic growth, city leaders must use data from multiple Smart City 1.0 sources. The TCS Intelligent Urban Exchange™ IoT Analytics for Smart Cities and Businesses, a modular platform that provides insight-centric software solutions to address modern-day challenges, was designed to accelerate the implementation smart IoT initiatives. This cloud platform uses data from multiple systems and IoT devices. It also runs advanced analytics that support real time decision-making.