kRPC vs gRPC — What’s the difference, and which one should you use?

If you're working with Kotlin, you may have heard about kRPC and wondered:

“Is kRPC basically Kotlin's version of gRPC?”

Not exactly. πŸ‘‡

πŸ”΅ gRPC

gRPC is a complete, language-neutral RPC framework.

It commonly uses Protocol Buffers (Protobuf) for service definitions and serialization and supports HTTP/2-based communication.

✅ Advantages

  • ⚡ High-performance binary serialization

  • 🌍 Excellent multi-language support

  • πŸ”„ Server streaming, client streaming & bidirectional streaming

  • πŸ“¦ Strong tooling and code generation

  • 🏒 Widely adopted in large distributed systems

You can build services across:

Kotlin ↔ Go ↔ Java ↔ Python ↔ C# ↔ C++

❌ Trade-offs

  • More concepts to learn

  • .proto files + code generation

  • Can feel heavy for simple Kotlin-only projects

  • Browser communication often requires additional approaches


🟠 kRPC

kRPC is a Kotlin-focused RPC library built around Kotlin's ecosystem.

It aims to make RPC-style communication feel more natural when you're already working with Kotlin and Kotlin Multiplatform.

✅ Advantages

  • 🟒 Kotlin-first developer experience

  • 🧩 Integrates naturally with Kotlin

  • ✨ Less ceremony for Kotlin-centric projects

  • 🌍 Relevant for Kotlin Multiplatform architectures

❌ Trade-offs

  • Smaller ecosystem than gRPC

  • Less cross-language reach

  • Fewer long-established production examples

  • Not a drop-in replacement for every gRPC use case


⚔️ Quick comparison

gRPCkRPC
FocusGeneral RPCKotlin-first RPC
Languages🌍 Many🟠 Kotlin ecosystem
Protobuf✅ Common/core part of typical gRPC usageDifferent approach
Streaming✅Depends on implementation/use case
Ecosystem⭐⭐⭐⭐⭐⭐⭐
Kotlin experienceVery good⭐⭐⭐⭐⭐
Best fitDistributed/multi-language systemsKotlin/KMP-focused systems

🧠 So which one should you choose?

Choose gRPC when:

→ You have multiple backend languages
→ You need mature tooling and ecosystem support
→ You're building distributed services/microservices
→ Streaming and high-performance RPC are important

Consider kRPC when:

→ Your architecture is heavily Kotlin-based
→ Kotlin Multiplatform is important
→ You want a Kotlin-native RPC experience
→ Your team values reduced ceremony within the Kotlin ecosystem

πŸ”₯ Simple rule

gRPC = Universal & mature

kRPC = Kotlin-first & ecosystem-focused

Neither is automatically “better.”

The right choice depends on your architecture, languages, clients, and ecosystem requirements.

Would you choose gRPC or kRPC for a new Kotlin project? πŸ‘‡

#Kotlin #Android #gRPC #kRPC #KotlinMultiplatform #AndroidDevelopment #Microservices #BackendDevelopment #SoftwareArchitecture