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What is Reekoh?
Employ a unified platform to facilitate seamless interaction among your asset, operational, and business data. Our solutions empower businesses across various industries to streamline operations, remove barriers, and accelerate value delivery by integrating both Physical (IoT/IIoT/OT) and Application (IT) data effectively. With our platform, organizations can securely ingest data from a multitude of disconnected systems, protocols, networks, and formats, including OT, IoT, IIoT, and business applications. Additionally, users can enrich contextual information, oversee metadata, perform transformations, and utilize data mapping to work with standardized data models and schemas. This comprehensive integration fosters the smooth flow of data to different endpoints, enhancing application and process logic, storage solutions, data analysis, and both physical and digital automation initiatives. Reekoh Accelerateâ„¢ is a standout hybrid integration platform that prioritizes data from both physical and digital assets equally. It provides users with a powerful and adaptable toolkit to manage devices and data, while also optimizing business workflows and automation processes to improve overall efficiency. By harnessing these advanced capabilities, organizations can truly unlock the maximum potential of their data assets and drive innovation forward. Ultimately, embracing such a platform can lead to transformative changes in how businesses operate and deliver value.
What is Google Cloud IoT Core?
Cloud IoT Core serves as a robust managed service that streamlines the secure connection, management, and data collection from a diverse range of devices worldwide. By seamlessly integrating with other offerings on the Cloud IoT platform, it delivers a comprehensive method for the real-time gathering, processing, analysis, and visualization of IoT data, significantly boosting operational efficiency. Utilizing Cloud Pub/Sub, Cloud IoT Core amalgamates data from multiple devices into a unified global framework that aligns effortlessly with Google Cloud's data analytics capabilities. This integration enables users to tap into their IoT data streams for advanced analytics, visual representations, and machine learning initiatives, leading to enhancements in workflows, proactive issue resolution, and the creation of strong models that optimize business functions. Moreover, it facilitates secure connections for any scale of devices—ranging from a handful to millions—through protocol endpoints that support automatic load balancing and horizontal scaling, which guarantees effective data ingestion in any circumstance. Consequently, organizations can derive crucial insights and enhance their decision-making processes by leveraging the potential of their IoT data, ultimately paving the way for greater innovation and progress. This transformative approach positions businesses to respond swiftly to market demands and operational challenges.
Integrations Supported
AVEVA Asset Information Management
ActiveMQ
Amazon CloudWatch
Amazon SES
Apache Kafka
Azure Industrial IoT
Google Cloud BigQuery
Google Cloud Bigtable
Google Data Studio
Mailchimp Transactional Email (Mandrill)
Integrations Supported
AVEVA Asset Information Management
ActiveMQ
Amazon CloudWatch
Amazon SES
Apache Kafka
Azure Industrial IoT
Google Cloud BigQuery
Google Cloud Bigtable
Google Data Studio
Mailchimp Transactional Email (Mandrill)
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.00045 per MB
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Reekoh
Date Founded
2015
Company Location
Australia
Company Website
reekoh.com
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
cloud.google.com/iot-core/
Categories and Features
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
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
Categories and 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