Kotlin in Action: Why Companies Switch and Don't Regret It
\n\nWhen JetBrains introduced Kotlin in 2016, many dismissed it as just another "Java killer." Eight years later — and now Java is catching up to Kotlin in convenience. Just kidding, of course, but there's some truth to it. Kotlin hasn't just survived — it has become the standard for Android development (thanks, Google), conquered the backend with Spring Boot, and even made its way into Data Science.
\n\nBut let's be honest: reading documentation is one thing, seeing how Kotlin performs under load in real projects is another. In this article, we'll break down cases of companies using Kotlin in production. No fluff, just code examples and numbers.
\n\nGoogle: Not Just Android, But the Entire Ecosystem
\n\nLet's start with the main evangelist. Google doesn't just recommend Kotlin — it uses it itself in dozens of internal projects. But what's more interesting: Kotlin for Google is not just about mobile development.
\n\nKotlin in Google's Server Side
\n\nIn 2019, Google announced that Kotlin became one of the official languages for developing server-side applications within the company. The Firebase team rewrote a significant portion of their backend in Kotlin. Why? The main reason — null-pointer safety.
\n\n// Example: typical Java vs Kotlin problem\n// Java (before Optional)\npublic String getName(User user) {\n return user != null ? user.getName() : "Unknown";\n}\n\n// Kotlin (safe and concise)\nfun getName(user: User?): String {\n return user?.name ?: "Unknown"\n}\n\n\nAt Google's scale, with billions of requests per day, every NullPointerException is a potential crash. Kotlin reduced the number of NPEs in their code by 40-60% according to internal estimates. A compelling argument, wouldn't you say?
\n\nNetflix: Performance and Code Readability
\n\nNetflix is one of the first major companies to adopt Kotlin in their stack. Their content management platform (Studio Edge) was completely rewritten in Kotlin. Netflix engineers highlighted three key advantages:
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- Development speed — less boilerplate, faster code reviews \n
- Interoperability — smooth integration with existing Java infrastructure \n
- Functional features — lambdas, extension functions, Data classes \n
Real Example: Data Stream Processing
\n\nAt Netflix, they process terabytes of viewing data. Here's what a typical data transformation looks like in Kotlin:
\n\ndata class ViewingEvent(\n val userId: String,\n val contentId: String,\n val duration: Long,\n val timestamp: Long\n)\n\nfun processViewingEvents(events: List<ViewingEvent>): Map<String, Long> {\n return events\n .filter { it.duration > 30 } // only views > 30 sec\n .groupBy { it.userId }\n .mapValues { (_, userEvents) ->\n userEvents.sumOf { it.duration }\n }\n}\n\n\nIn Java, such code would take 1.5-2 times more lines. For Netflix, where every millisecond counts, Kotlin's conciseness became not a luxury, but a necessity.
\n\nKotlin in Russian Startups: From e-commerce to Fintech
\n\nLet's move on to more familiar examples. In Russia, Kotlin is actively used by companies like Tinkoff, Yandex.Taxi, and Ozon. But the most illustrative case is Kotlin Multiplatform Mobile (KMM).
\n\nCase: A Mobile App for Delivery
\n\nOne of my clients — a grocery delivery startup. They chose Kotlin Multiplatform to build a cross-platform app. The result after 6 months:
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- Shared code for iOS and Android — 65% of business logic \n
- Reduction in development time for new features by 40% \n
- Decrease in the number of bugs by 30% (unified codebase) \n