DIGI EDGE facilitates the decentralized processing and analysis of data through edge computing
Introducing DIGI EDGE
Our specialized software solutions crafted for edge computing environments. With DIGI EDGE, data analysis and management take place directly at the edge, precisely where data originates. Additionally, it seamlessly synchronizes with the DIGI server, ensuring perfect alignment with your distinct business requirements. You have the flexibility to connect it to public DIGI servers, such as DIGIEYE IoT Platform or link to DIGIEYE IoT Platform.
EDGE ARCHITECTURE
DIGI EDGE empowers you to process and store data from local (EDGE) devices independently of the central server. Updates are synced with the server automatically once connectivity is restored, ensuring seamless data management and reliability.
Digi Edge serves as the central component for processing and managing data directly at the edge of the network.
1. Local Deployment and Storage
DIGI EDGE enables the processing and storage of data from local (edge) devices independently of the central server.
Data is stored locally, ensuring resilience and availability even in the absence of network connectivity.
Updates are synchronized with the central server seamlessly once connectivity is restored, ensuring data consistency and reliability.
2. Data Filtering with DIGI Engine
DIGI Engine, integrated into DIGI EDGE, provides powerful data filtering capabilities.
It allows for the refinement and processing of data at the edge, enabling efficient utilization of network resources and reducing latency.
Data filtering ensures that only relevant data is transmitted to the central server, optimizing bandwidth usage and enhancing overall system performance.
3. Data Visualization with dashboards
Digi Edge offers built-in capabilities for visualizing data through customizable dashboards.
Users can easily configure and customize dashboards to monitor specific metrics and key performance indicators (KPIs) relevant to their use case.
4. Database Storage
Digi Edge facilitates seamless integration with databases for persistent storage of data.
Data collected from edge devices and sensors can be stored in a database for historical analysis, reporting, and decision-making.
5. Data Acquisition from Sensors
DIGI EDGE supports data acquisition from sensors connected to the edge via industry-standard protocols such as MQTT and HTTP.
Sensors transmit data to DIGI EDGE, where it undergoes processing, filtering, and visualization before being synchronized with the central server..
This ensures efficient data collection and management from a diverse range of sensors deployed at the edge of the network.
Local Alarms
Local Alarms feature empowers users to respond instantly to critical situations on-site, even in scenarios where connectivity to the central server may be disrupted.
Key Strengths
Robust & Efficient
A single DIGI Edge instance can efficiently manage up to 1,000 devices, depending on the specific use case and hardware capabilities.
This robustness ensures reliable performance and scalability for a wide range of IoT applications.
Durable
DIGI Edge ensures data integrity by collecting all messages and events in a persistent layer.
Only selected messages are transferred to the server as needed, optimizing bandwidth and storage utilization.
Customizable
The built-in DIGI engine allows for easy enhancement of functionalities.
Users can customize widgets and dashboards to suit their specific needs and preferences, providing a tailored user experience.
Scalable
Computational tasks and data analysis can be distributed across thousands of Edge instances, providing exceptional scalability.
This distributed architecture ensures that the system can grow with your business needs, handling increasing data volumes and complexity.
Low Latency
By processing data locally at the edge, DIGI Edge Edge minimizes latency, ensuring faster response times for critical applications.
Reduced Bandwidth Usage
Local data processing reduces the amount of data that needs to be sent to the central server, lowering bandwidth usage and associated costs.
Enhanced Privacy and Security
Keeping data local can enhance privacy and security by minimizing the exposure of sensitive information to external networks.
Improved Reliability
Local processing ensures that critical functions can continue uninterrupted even if connectivity to the central server is lost, enhancing overall system reliability.
Cost-Effective
Reducing the dependency on centralized data centers can lower operational costs, making it a cost-effective solution for many organizations.
Flexibility & Adaptability
DIGI Edge can be easily integrated with various sensors and devices using standard protocols like MQTT and HTTP, providing flexibility in deployment and integration..