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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Data Collection Core is a software solution from Iotsmart that facilitates the real-time gathering of data from OPC Servers and various devices, processes it, and allows for output to multiple storage solutions simultaneously, consolidating information from all connected devices in one centralized location. You can operate the DCC in the cloud or on-premises, utilizing platforms like Azure IoT Edge, AWS IoT Edge, or virtual machines with a containerized setup. This ensures you receive accurate data directly from your sensors while connecting seamlessly with OPC UA and HTTPS outputs, allowing for the integration of numerous devices with performance that surpasses standard client solutions. The system also supports server redundancy for OPC UA and MQTT, ensuring reliability and continuity. Our team of IoT specialists is available for support, providing troubleshooting assistance and tailored customer service to enhance your experience. With our focus on managing your digital solutions, you can concentrate on running your business effectively. The entire system is packaged using Docker images, making it easy to deploy across various cloud platforms, including Azure and AWS, ensuring flexibility and scalability for your operations.

Description

An entirely managed cloud-based solution that facilitates device registration, connectivity, control, quick visualization, and data storage. By integrating chip, app, and cloud technologies, users can fully leverage Watson's cognitive APIs, feature-rich dashboards, extensive developer tools, and top-tier security measures to enhance insights in enterprise IoT. This service provides predictive, real-time, and edge analysis of user, machine, and environmental data, utilizing machine learning and cognitive APIs. It enables governance over applications and devices within an IoT framework, monitoring usage and performance trends, detecting anomalies, and validating data and transactions. The platform connects IoT devices, networks, and gateways through an expanding ecosystem that employs open standards-based communications such as MQTT and HTTPS. Furthermore, it allows for the identification, aggregation, and transformation of data from various IoT sources into structured asset-based data. Users can harness their IoT data to gain insights into current conditions and trends, analyze unstructured data from videos and images, and extract valuable information from unstructured textual data. Ultimately, this service empowers organizations to make informed decisions based on comprehensive data analysis and visualization.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Cisco IoT Control Center
IBM API Connect
IBM App Connect
IBM Aspera
IBM Cloud
IBM Cloud Pak for Applications
IBM MQ
IBM Watson IoT
Red Hat Cloud Suite
SAP Cloud Platform
VMware Cloud

Integrations

Cisco IoT Control Center
IBM API Connect
IBM App Connect
IBM Aspera
IBM Cloud
IBM Cloud Pak for Applications
IBM MQ
IBM Watson IoT
Red Hat Cloud Suite
SAP Cloud Platform
VMware Cloud

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

IoTSmart

Country

Mexico

Website

iotsmart.io

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/watson-iot-platform

Product Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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

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