When it comes to implementing IoT solutions for asset tracking, open source platforms may seem like an attractive option because of their low upfront costs and flexibility. However, in critical scenarios such as real-time asset tracking, the disadvantages of these types of platforms can be quite significant. Here are five reasons why an open source IoT platform may not be the best choice for such projects.

1. Technical complexity in asset tracking

Open source IoT platforms require advanced configurations to meet the specific demands of asset tracking, such as geolocation, real-time monitoring, and customized alert generation. This level of customization requires a specialized technical team, which means additional investment in training or hiring. While these platforms may seem inexpensive at the outset, the learning curve and the need for expert staff can make them an impractical solution for companies looking for quick and efficient implementations.

2. Limited Scalability as the Project Grows

In an asset tracking system, the number of connected devices can increase significantly over time. Although open source platforms allow projects to start with limited resources, they often face scalability issues when managing a massive volume of assets and data. For example, platforms like WSO2 IoT Server, designed to cover multiple use cases, often lack the flexibility needed to meet specific requirements without considerable customization effort. This can result in a costly and complex infrastructure, negating any initial savings. For more information on these challenges, please refer to our article Grafana vs IoT Platform: Which is the Better Option?

3. Security vulnerabilities: a lesson learned

Security is a critical factor in any IoT project, especially in applications such as asset tracking, where exposure of sensitive data can have serious consequences. A customer using an open source IoT platform based on Grafana to track its assets suffered a cyber-attack that compromised its system. Hackers managed to send malicious emails to their entire contact base from the compromised server. After this incident, he came to us at Cloud Studio IoT, looking for a more robust and secure solution. This case demonstrates how open source platforms, while powerful, can be vulnerable if not managed with extreme caution.

4. Lack of dedicated technical support

In asset tracking, downtime can generate large financial losses. However, open source IoT platforms often rely on communities to provide technical support. While options such as WSO2 IoT Server offer documentation and community support, they lack personalized and accessible technical service at critical times. This can lead to long interruptions in operations when the problem requires specific solutions. A professionally supported solution, such as those offered by Cloud Studio IoT, ensures that issues are resolved efficiently, minimizing disruptions to operations.

5. Hidden costs that affect profitability

Open source platforms may appear to be free, but customization, integration, and maintenance costs are often high. In addition, many of the tools needed to optimize performance, such as advanced data analysis modules or enhanced user interfaces, are often paid for. In an asset tracking project, these additional investments can far outweigh the cost of a turnkey solution that integrates all of these functionalities from the start.

Conclusion

While open source IoT platforms offer flexibility, the risks and challenges they present make them a less viable option for critical applications such as asset tracking. A solution specifically designed for these needs, like the one we offer at Cloud Studio IoT, provides the security, scalability, and support required to ensure project success. Discover our free demo and see how we can help you optimize asset tracking in your business.