As mentioned in the first article dedicated to mobile app types, cross-platform apps are native applications that are developed with an “intermediate language”, such as Microsoft technology C# (“C-Sharp”). This is one of our core competencies at ERNI. We can use it to develop an app that is compatible with different platforms.

The advantages of this variant are similar to those of a hybrid application. However, such an app, which was developed using a cross-platform foundation, is also displayed natively. However, it is not so expensive, since only one code base has to be maintained. The only negative aspect is the size of cross-platform apps, as additional libraries are available. Apart from that, quality, performance and user experience are comparable to a native app.

For the sake of completeness, however, a further differentiation should be mentioned:

  • Online apps offer the advantage of real-time information, but naturally do not work without an Internet connection – and performance suffers with a weak network.
  • Offline apps are particularly suitable for scenarios in which an app is to be used without W-LAN or a good network connection via mobile radio. Their disadvantage is that users usually have to download the main data to the device first, which in turn consumes more memory. In addition, the information is not available in real time when the app is used offline.

Since companies today want to be represented on as many platforms as possible, cross-platform apps are the recommended solution in many cases, of course always depending on the intended use. However, this variant is often still unknown. “Most of our customers are hesitant at first because they want to use the native app. But when we introduce them to the benefits of cross-platform development, they usually prefer our alternative,” says Joseph Davidton Cadag from his experience.

News from ERNI

In our newsroom, you find all our articles, blogs and series entries in one place.

  • 22.11.2023.
    Newsroom

    Recognising trends: An insight into regression analysis

    Data plays a very important role in every area of a company. When it comes to data, a distinction is made primarily between operational data and dispositive data. Operational data play an important role, especially in day-to-day business. However, they are not nearly as relevant as dispositive data. This is because these data are collected over a longer period of time and provide an initial insight into the history or the past.

  • 08.11.2023.
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    Why do we need digital transformation for medical devices?

    For hospitals, it is not up for discussion as to whether they want to digitalise. The increasing age of the population in western countries and the progressive shortage of medical professionals mean that without digitalisation, the healthcare system will not be able to provide the quality that patients want in the future.

  • 25.10.2023.
    Newsroom

    Mastering the challenges of mobile app testing: Strategies for efficient quality assurance

    Discover the unique challenges faced in testing mobile applications and learn how to overcome them effectively. From selecting suitable devices and operating systems to leveraging cloud-based test platforms, test automation and emulators, this article provides seven essential strategies for optimising your mobile app testing process.

  • 11.10.2023.
    Newsroom

    Incorporating classical requirements engineering methods in agile software development for a laboratory automation system

    Traditional agile methodologies can sometimes struggle to accommodate the complexity and regulatory requirements of laboratory automation systems, leading to misalignment with stakeholder needs, scope creep, and potential delays. The lack of comprehensive requirements documentation can result in ambiguous expectations and hinder effective communication among cross-functional teams.

  • 27.09.2023.
    Newsroom

    Unveiling the power of data: Part III – Navigating challenges and harnessing insights in data-driven projects

    Transforming an idea into a successful machine learning (ML)-based product involves navigating various challenges. In this final part of our series, we delve into two crucial aspects: ensuring 24/7 operation of the product and prioritising user experience (UX).

  • 13.09.2023.
    Newsroom

    Exploring Language Models: An overview of LLMs and their practical implementation

    Generative AI models have recently amazed with unprecedented outputs, such as hyper-realistic images, diverse music, coherent texts, and synthetic videos, sparking excitement. Despite this progress, addressing ethical and societal concerns is crucial for responsible and beneficial utilization, guarding against issues like misinformation and manipulation in this AI-powered creative era.

  • 01.09.2023.
    Newsroom

    Peter Zuber becomes the new Managing Director of ERNI Switzerland

    ERNI is setting an agenda for growth and innovation with the appointment of Peter Zuber as Managing Director of the Swiss business unit. With his previous experience and expertise, he will further expand the positioning of ERNI Switzerland, as a leading consulting firm for software development and digital innovation.

  • data230.08.2023.
    Newsroom

    Unveiling the power of data: Part II – Navigating challenges and harnessing insights in data-driven projects

    The second article from the series on data-driven projects, explores common challenges that arise during their execution. To illustrate these concepts, we will focus on one of ERNI’s latest project called GeoML. This second article focuses on the second part of the GeoML project: Idea2Proof.