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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
ZEDEDA offers a straightforward and scalable cloud-based orchestration platform that enhances visibility, control, and security for distributed edge environments, allowing users to deploy and manage any application on any hardware seamlessly while connecting to various cloud or on-premises systems. By utilizing ZEDEDA, customers can effortlessly deploy and oversee any edge compute node, enabling them to extract the value from IoT data and make timely decisions. With the flexibility to run any application on any hardware without vendor lock-in, users can operate both legacy and cloud-native applications concurrently. The platform also facilitates bulk deployment of applications with just one click, significantly simplifying the management process. Additionally, ZEDEDA ensures robust security measures by eliminating hardware spoofing, identifying software stack anomalies, and maintaining device integrity. Users can monitor and control data flow across applications and nodes, making it easy to spot any suspicious activities. Furthermore, the platform supports compliance with regulatory requirements and helps mitigate risks associated with data breaches and leaks. Ultimately, ZEDEDA automates the deployment and management of applications and system software directly from the cloud, streamlining the entire edge computing experience. This comprehensive solution empowers organizations to fully leverage their edge infrastructure while maintaining the highest standards of security and compliance.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Intel Connected Worker
Kubernetes
MicroK8s
Microsoft Azure
NVIDIA DRIVE
Xilinx
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Intel Connected Worker
Kubernetes
MicroK8s
Microsoft Azure
NVIDIA DRIVE
Xilinx
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
ZEDEDA
Founded
2016
Country
United States
Website
zededa.com/product/
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