There are several top development platforms to build enterprise-ready applications. According to recent data, the global mobile application market size is projected to reach over $405 billion by 2026. With such immense growth, software engineers need development platforms suited to their needs. Indeed, this is crucial to keep up with the ever-expanding market trends and demands. As an enterprise software developer, you need to know the top-rated software development platforms on the market. This way, you can use the best tools to build your application projects efficiently. Of course, the right innovative platform is key to growing your client’s revenue as well. Read on to discover the top development platforms to build enterprise-ready applications.

Native

First, native platforms are a great application development resource when building software for a specific operating environment. Typically, each of these platforms is specialized for Android or iOS operating systems. The development environments usually require knowledge of a specific programming language. For example, Android development platforms are often designed for coding in Java. On the other hand, iOS platforms may use Apple’s Objective-C or Swift. Notably, reliable native platforms can offer stable and fast performance. Plus, the interface is made in full compliance with the platform. Often, this makes your applications more scalable and flexible. Definitely, use a native development platform if you’re looking to build apps for a specific operating system.

Hybrid

Next, hybrid mobile app development platforms are optimal when developing for multiple operating systems. As a combination of native and web application developments, hybrid apps require a cross-platform framework. Often, hybrid applications are coded using HTML, JavaScript, or CSS. Notably, you can achieve a faster release time on multiple operating systems. However, hybrid applications may have a slower application performance than native apps. Often, developers use hybrid platforms to build their minimum viable products. Once they have a better understanding of the app’s market success, teams may spend more time building the native counterpart. With a single code base, hybrid platforms are an efficient tool to develop software for multiple platforms.

Container Orchestration

Also, container orchestration platforms are a great system to facilitate resource management and automation in your SDLC. For example, many professional enterprise developers use Kubernetes for its portable, reliable management capabilities. Indeed, this open-source platform can automate deployment and scale for your containerized applications. When you cluster groups of hosts for your containers, Kubernetes is the perfect tool to help you manage those clusters. Moreover, you can also use a Helm chart to manage your Kubernetes application resources. You can use these packaged file collections for your deployments as well. Certainly, install a container orchestration platform to streamline resource management, automation, and deployment in your pipeline.

Low-Code

Moreover, low-code platforms are also gaining traction in the enterprise development community. Importantly, low-code development environments are designed to take the complexity out of application development. Often, these platforms use configuration-based approaches, such as a drag and drop interface. With this alternative to coding, engineers and entrepreneurs alike can easily build enterprise-ready applications. Low-code also offers an efficient, agile method to build applications. According to recent studies, nearly 75% of all application developments are soon expected to be built on low-code platforms. Using this methodology, you can easily build a navigation app, enterprise software, or even a custom video game. Surely, low-code platforms are a great option to increase your enterprise application development efficiency.

Artificial Intelligence

Furthermore, artificial intelligence platforms are another valuable resource to take your projects to the next level. These digital tools make it easier for machine learning (ML) developers, data scientists, and engineers to quickly deploy their projects. Indeed, many AI platforms offer strong flexibility through an integrated toolchain. For example, some common features include language options, customer sentiment analysis, and recommendation systems. With these tools, you can run your own ML applications. Plus, platforms may offer on-premise or cloud options without significant code changes. Absolutely, utilize artificial intelligence platforms to build your AI and ML applications.

There are several top development platforms to build enterprise-ready applications. First, native application platforms are great when coding programs for one specific operating system. Alternatively, hybrid platforms offer an efficient solution to build for multiple system deployments. Besides, container orchestration platforms are a great tool for management, automation, and scaling. Moreover, low-code environments are making software development more accessible and increasing development speed. Furthermore, invest in an AI platform to easily build your ML apps. Use these top development platforms to build enterprise-ready applications.