Synergy of Edge Computing and Cloud-based IoT Platform

February 8, 2024

Given the growing trend towards cloud technology, the question arises as to why it makes sense to explore edge technologies. In this document, we will explain the synergies between's edge computing IoT software and a cloud-based IoT platform. We will demonstrate how this combination can help businesses perform real-time analytics, improve scalability, reduce costs, and enhance security. Additionally, we will discuss how the collaboration between edge and cloud can lead to more efficient data processing and open up new use cases for IoT devices. Our goal is to transform the paradigms of IoT data utilisation for businesses and provide the most advanced and user-friendly IoT platform on the market.

Advantages of Combining Edge Computing and Cloud-Based IoT Platforms

The combination of edge computing and cloud-based IoT platform offers a range of advantages that can drive the digital transformation of SMEs:

  1. Real-time analysis and faster decision-making: Edge computing allows for near real-time data analysis as data is processed close to its source. This can lead to quicker insights and decision-making.
  2. Scalability: The combination of edge and cloud computing enables flexible scalability by distributing computational power to both various edge devices and the cloud. This allows for efficient adaptation to increasing demands, especially in environments with a multitude of connected devices.
  3. Cost optimisation: Processing data at the edge can reduce bandwidth costs as not all data needs to be sent to the cloud.
  4. Improved security: By reducing the amount of sensitive data transmitted over the network, edge computing can potentially enhance security.
  5. Collaboration between edge and cloud: Edge computing can compensate for the latency issues of cloud-based AIoT, leading to more efficient data processing. An industrial edge-cloud collaboration platform can help create and deploy AIoT applications efficiently.
  6. Expanded use cases: Edge computing allows for the deployment of IoT devices in environments with limited network connectivity. This opens up new use cases for your IoT software.

It is important to emphasise that the optimal utilisation of edge and cloud computing depends on the specific requirements and goals of the IoT project. A balanced use of both can result in a more agile and efficient IoT solution.

Application Example in Energy Generation

In the energy industry, particularly in renewable energy generation, wind and solar power plants can be equipped with sensors that continuously capture data on operational status, performance, and other relevant parameters.

With edge computing, this data can be processed directly at the energy plant, or at the "edge". This allows for quick response to events, such as detecting and resolving errors. This real-time response can minimise downtime and contribute to cost optimisation.

Simultaneously, the captured data can be sent to a cloud-based IoT platform, where it can be used for further analysis and long-term trend observations. This enables efficient processing of both small and large amounts of sensor data, contributing to scalability.

Furthermore, the combination of edge and cloud computing opens up new use cases. Energy plants can also operate in environments with limited network connectivity. This is particularly relevant in remote areas where network connectivity may be restricted.

Overall, the combination of edge computing and cloud-based IoT platform allows for efficient and effective utilisation of data generated by energy plants. It provides the opportunity to leverage both the immediate and long-term benefits of data collection and analysis.

In summary, the combination of edge computing and cloud-based IoT platform offers significant advantages for businesses in various industries. By leveraging these synergies, companies can optimise costs, improve scalability, and explore new use cases. In the energy sector, as well as in manufacturing or rail transport, this combination can enhance efficiency while reducing operating costs. At, we strive to assist businesses in harnessing these benefits and digitising their business processes through data-driven solutions. The future of IoT data utilisation lies in the effective combination of edge and cloud computing, and we look forward to accompanying our partners on this journey.