Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Utilizing a microservices architecture for IoT backed by Kubernetes allows for limitless scalability and the ability to adjust resources as needed, all while maintaining high performance and resilience against failures. Streamline the data flow from your IoT devices to any analytics platform through a seamlessly integrated Kafka channel, enabling you to modify device behavior based on the insights gained from processing results. The creators of this platform bring over 25 years of expertise in IoT, telecommunications, and big data, leveraging their extensive knowledge to develop an exceptional IoT solution suitable for both large enterprises and emerging startups. Your data remains secure with encryption both during transmission and while stored. Additionally, the platform offers built-in user authentication and authorization features via an open OAuth2 / UMA interface. Easily connect and manage IoT devices through a cloud-based graphical user interface or a RESTful API. Gather and visualize telemetry data using the integrated dashboard or utilize third-party tools such as Grafana for enhanced analysis and presentation of data insights. This comprehensive IoT platform ensures that you have the tools necessary to effectively handle your data and device management needs.
Description
Friendly's One IoT Device Management allows for the remote oversight of various IoT devices, including those with intricate data models and limited capability, utilizing standard protocols like LwM2M, OMA-DM, MQTT, CoAP, TR-369 USP TR-069, among others. This solution facilitates automated initialization and remote administration of IoT devices, featuring an Admin Portal, a Technician Portal, a Quality of Experience (QoE) Dashboard, Business Intelligence (BI), and Big Data Analytics, along with a comprehensive API for tailoring vertical applications. Additionally, Friendly offers an App generator module that simplifies the creation and updating of custom applications without the need for programming skills. Moreover, Friendly's One-IoT™ Device Management can be deployed through private cloud, public cloud, or directly on the customer's site, providing flexibility to suit various operational needs. This adaptability ensures that users can effectively manage their IoT ecosystem in a way that aligns best with their infrastructure requirements.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Angular
ClickHouse
Google Cloud Platform
Kubernetes
MariaDB
Microsoft Azure
MySQL
Percona Server for MySQL
PostgreSQL
Integrations
Amazon Web Services (AWS)
Angular
ClickHouse
Google Cloud Platform
Kubernetes
MariaDB
Microsoft Azure
MySQL
Percona Server for MySQL
PostgreSQL
Pricing Details
No price information available.
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
KaaIoT Technologies
Country
United States
Website
www.kaaproject.org
Vendor Details
Company Name
Friendly Technologies
Founded
1997
Country
Israel
Website
www.friendly-tech.com/products/iot-device-management/
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