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Description
Cloud IoT Core is a comprehensive managed service designed to facilitate the secure connection, management, and data ingestion from a vast array of devices spread across the globe. By integrating with other services on the Cloud IoT platform, it offers a holistic approach to the collection, processing, analysis, and visualization of IoT data in real-time, ultimately enhancing operational efficiency. Leveraging Cloud Pub/Sub, Cloud IoT Core can unify data from various devices into a cohesive global system that works seamlessly with Google Cloud's data analytics services. This capability allows users to harness their IoT data streams for sophisticated analytics, visualizations, and machine learning applications, thereby improving operational workflows, preempting issues, and developing robust models that refine business processes. Additionally, it enables secure connections for any number of devices—whether just a few or millions—through protocol endpoints that utilize automatic load balancing and horizontal scaling, ensuring efficient data ingestion regardless of the situation. As a result, businesses can gain invaluable insights and drive more informed decision-making processes through the power of their IoT data.
Description
Supports secure connections with devices that utilize HTTP and MQTT protocols, while receiving data from LoRa Network Servers as well as streams from various IoT Clouds. This versatile serverless computing environment, often referred to as function as a service (FaaS), offers online editing capabilities along with codecs and integrations. It processes and normalizes incoming data from devices, translating uplink messages and encoding downlink commands to streamline integration function deployment. The system efficiently manages device registration, configuration, provisioning, and facilitates Firmware Over The Air (FOTA) scheduling and batching. Users can easily deregister and reregister devices through the LNS Switch feature. It securely stores LoRaWAN keys and SSL/TLS certificates, providing access to real-time data insights. With exceptional performance, it can handle large volumes of data, allowing for quick queries across billions of telemetric and historical records. Capable of ingesting millions of data points in a second, it also offers vertical and horizontal scalability driven by a robust data streaming processing engine. Additionally, this architecture ensures that data management remains efficient and responsive, adapting to the ever-growing demands of IoT applications.
API Access
Has API
API Access
Has API
Integrations
Google Cloud Platform
Amazon Web Services (AWS)
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Trace
Google Data Studio
Google Maps
Microsoft Azure
Salesforce
Integrations
Google Cloud Platform
Amazon Web Services (AWS)
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Trace
Google Data Studio
Google Maps
Microsoft Azure
Salesforce
Pricing Details
$0.00045 per MB
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/iot-core/
Vendor Details
Company Name
myDevices
Founded
2013
Country
United States
Website
mydevices.com/platform/
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
IoT Analytics
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
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization