Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Effective business choices are informed by the analysis of real-time data from devices and sensors, which enables prompt actions. The IoT era introduces a vast number of interconnected devices, presenting significant opportunities to automatically generate valuable insights and create new revenue streams. By leveraging Pega’s top-tier case management and BPM solutions, organizations can seamlessly transform IoT-driven insights into strategically coordinated actions that span various business and system boundaries. Pega Machine Health plays a crucial role by continuously integrating people, processes, devices, and data to enhance the health and value of connected IoT devices. This functionality allows organizations to not only analyze situations but also recommend preventive measures and repairs, thereby enhancing the overall customer experience. To maintain a competitive edge in the swiftly changing IoT landscape, businesses can utilize the remarkable agility provided by Pega 7. Furthermore, Pega 7 empowers IoT teams to perpetually refine both the analytical processes and the coordination of actions driven by IoT data, ensuring sustained operational excellence. Such capabilities foster a proactive culture within organizations, enhancing their responsiveness to emerging challenges and opportunities.
API Access
Has API
API Access
Has API
Integrations
Gemini Enterprise Agent Platform
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Platform
Google Cloud Trace
Google Data Studio
Integrations
Gemini Enterprise Agent Platform
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Platform
Google Cloud Trace
Google Data Studio
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
Pegasystems
Founded
1983
Country
United States
Website
www.pega.com/products/platform/iot
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