Swift and Kotlin are two great languages for iOS and Android development respectively. We analyzed the data using ElasticSearch and Kibana. This analysis was confined to somewhat small projects (between 1 and 500 files with an average file size of 27) due to the nature of our sampling space. The BuildPerfType enum member contains all the required information to generate a project for that specification, including potential custom arguments to kotlinc, dependencies (including, Kotlin stdlib, and Kapt, etc. Many Android developers agree that Kotlin makes development quicker and more fun. A platform is an ideal option for developing Android, Desktop, Web, and iOS applications. Afterwards, another part of the script was responsible for synchronizing the results repository and shipping the data to our in-house databases, where it could be analyzed. On top of these developer considerations, we had to ensure that this decision didn’t impact the Uber user experience on our Android apps. Structs/exceptions/unions are generated as standard value types (POJOs). On the wire, these are sent as JSON using a Retrofit/OkHttp/Gson based network stack. There are many things that can be done in order to improve Kotlin build performance analysis. A Kotlin code offers more safety and concision in comparison to a Java code. Kotlin Allows iPhone Application Development to Reach Android Users, Developer Kotlin is a programming language that is compatible with Android. Artificial Intelligence / Machine Learning, Measuring Kotlin Build Performance at Uber, Improving Uber’s Mapping Accuracy with CatchME, Introducing the Uber Research Publications Site, Meet Michelangelo: Uber’s Machine Learning Platform, Introducing Domain-Oriented Microservice Architecture, Uber’s Big Data Platform: 100+ Petabytes with Minute Latency, Why Uber Engineering Switched from Postgres to MySQL, H3: Uber’s Hexagonal Hierarchical Spatial Index, Introducing Ludwig, a Code-Free Deep Learning Toolbox, The Uber Engineering Tech Stack, Part I: The Foundation, Introducing AresDB: Uber’s GPU-Powered Open Source, Real-time Analytics Engine. . One of its main features is to let users extend its analysis power by adding custom checkers. This mainly means going inside our build system and making it issue the metrics we need for this analysis. Ionic: It tends to support Android 4.4+ versions, iOS 8+ and Windows 10. To most accurately execute our tests, we needed to leverage non-trivial code we would use in production environments. We believe that this happens due to the following reasons: Even with these reasons, it is odd to see that pure Java plus Apt is much faster when compared to pure Java with no Apt (only a ~5 percent overhead). We recommend you to try out XCode first before checking out the others. It is the official Android build tool. This includes surfaces like data class. The analysis aggregated the data in buckets based on the build performance matrix (Table 1). . Also, annotation processing was designed for Java and can run in-process with the javac compiler, as both share the same AST. One theory we developed for why Apt-powered builds perform so well is because the software is much older and is kept under constant development, which allows for performance optimizations over time, something that has yet to happen with Kapt, since it is a much younger solution. Major differences can be reduced to the table below:Basics, classes and functions all have very similar ways of expression. . The debate of whether to choose Java or Kotlin has been very common in the Android community. Marketing Blog, It is fast and able to complete tasks promptly. This is a good indicator that the experiment environment was well-controlled. However, with over 20 Android applications and more than 2,000 modules in our Android monorepo, Uber’s Mobile Engineering team had to carefully evaluate the impact of adopting something as significant as a new language. ), and fine-grained arguments and language controls to the code generation. We wanted our analysis to be build system agnostic and keep the focus as close to kotlinc vs. javac as possible. For this number, Kotlin is almost 18 times faster than Swift(on my machine). To support the generation of mixed source sets, we added support for specifying exactly which Thrift elements should be generated in each language. In 2019, more enterprise leaders are migrating to Kotlin or planning to do so. It is possible to introduce Kotlin into your existing code bases without the need to convert all your existing Java code to Kotlin. . This does not necessarily mean that Kotlin or Java sources would be identical in implementation, just that they reflected functional parity for how we would potentially write it in that language (for example, Gson TypeAdapter vs. Moshi JsonAdapter). During this benchmark test, builds were clean and the cache was turned off. Additionally,  since code is generated, we can control the morphology of these projects; for instance, we can generate them with only Java code, or only with Kotlin code, a mix between the both of them, and enable or disable annotation processors, among other combinations. That this analysis can serve as a north star for other organizations who leverage Kotlin build time the of! 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