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Finagle vs gRPC: What are the differences?

Introduction

This Markdown code provides a comparison between Finagle and gRPC, highlighting their key differences. Finagle and gRPC are both popular frameworks used for building high-performance, distributed applications. While they share some similarities, there are distinct differences that set them apart. The following paragraphs discuss six key differences between Finagle and gRPC.

1. Scalable Communication vs. Efficient Data Transfer: Finagle is designed for building scalable, reliable communication systems. It provides a rich set of networking abstractions and protocols, such as HTTP, Thrift, and custom protocols. On the other hand, gRPC focuses on efficient data transfer using HTTP/2 as the underlying transport protocol. It allows bidirectional streaming and supports multiple programming languages.

2. Programming Languages Support: Finagle is primarily used with the Scala programming language, offering extensive support and integration. In contrast, gRPC supports a wider range of programming languages, including Java, C++, Python, Go, and more. This broader language support makes gRPC more accessible for developers working in different environments.

3. Protocol Definition Language (PDL): Finagle uses Thrift as its primary PDL for defining the APIs and data structures. Thrift is a powerful cross-language framework that generates code for multiple programming languages. On the other hand, gRPC uses Protocol Buffers as its PDL, providing a simple and efficient way to define services and data structures. Protocol Buffers are known for their compact size and fast serialization/deserialization.

4. Bi-directional Streaming: While both Finagle and gRPC support streaming, gRPC provides built-in support for bi-directional streaming, which allows the client and server to send multiple messages asynchronously over a single TCP connection. Finagle, on the other hand, requires custom implementation for bidirectional streaming, although it offers powerful abstractions for handling asynchronous I/O.

5. Community and Ecosystem: gRPC has a larger and more mature community compared to Finagle. With strong support from Google and being an official project of the Cloud Native Computing Foundation (CNCF), gRPC benefits from a wider range of tooling, documentation, and community contributions. Finagle, although widely used, may have a relatively smaller ecosystem in comparison.

6. Flexibility and Customizability: Finagle provides a highly flexible and extensible architecture, allowing developers to build custom protocols and integrate with various libraries. It offers more freedom in choosing the components and customizing the behavior of the communication stack. While gRPC also allows some level of customization, it follows a more opinionated approach, enforcing stricter conventions and predefined patterns.

In Summary, Finagle and gRPC differ in their focus on scalable communication vs. efficient data transfer, programming language support, protocol definition language, streaming capabilities, community and ecosystem size, and flexibility/customizability.

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Pros of Finagle
Pros of gRPC
  • 4
    Fast
  • 3
    HTTP-friendly
  • 3
    Open Source
  • 24
    Higth performance
  • 15
    The future of API
  • 13
    Easy setup
  • 5
    Contract-based
  • 4
    Polyglot
  • 2
    Garbage

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What is Finagle?

Finagle is an extensible RPC system for the JVM, used to construct high-concurrency servers. Finagle implements uniform client and server APIs for several protocols, and is designed for high performance and concurrency.

What is gRPC?

gRPC is a modern open source high performance RPC framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking...

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What companies use Finagle?
What companies use gRPC?
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What tools integrate with Finagle?
What tools integrate with gRPC?
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    Blog Posts

    What are some alternatives to Finagle and gRPC?
    Finatra
    At Twitter, Finagle provides the building blocks for most of the code written on the JVM. It has long-served as Twitter's extensible, protocol-agnostic, highly-scalable RPC framework.
    Akka
    Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.
    Spring Boot
    Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.
    Play
    Play Framework makes it easy to build web applications with Java & Scala. Play is based on a lightweight, stateless, web-friendly architecture. Built on Akka, Play provides predictable and minimal resource consumption (CPU, memory, threads) for highly-scalable applications.
    Akka HTTP
    The Akka HTTP modules implement a full server- and client-side HTTP stack on top of akka-actor and akka-stream. It’s not a web-framework but rather a more general toolkit for providing and consuming HTTP-based services. While interaction with a browser is of course also in scope it is not the primary focus of Akka HTTP.
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