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  1. Stackups
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  5. Finagle vs gRPC

Finagle vs gRPC

OverviewComparisonAlternatives

Overview

Finagle
Finagle
Stacks69
Followers101
Votes10
GitHub Stars8.9K
Forks1.4K
gRPC
gRPC
Stacks2.4K
Followers1.4K
Votes64
GitHub Stars43.9K
Forks11.0K

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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Detailed Comparison

Finagle
Finagle
gRPC
gRPC

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.

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...

-
Simple service definition;Works across languages and platforms;Start quickly and scale;Works across languages and platforms;Bi-directional streaming and integrated auth
Statistics
GitHub Stars
8.9K
GitHub Stars
43.9K
GitHub Forks
1.4K
GitHub Forks
11.0K
Stacks
69
Stacks
2.4K
Followers
101
Followers
1.4K
Votes
10
Votes
64
Pros & Cons
Pros
  • 4
    Fast
  • 3
    HTTP-friendly
  • 3
    Open Source
Pros
  • 25
    Higth performance
  • 15
    The future of API
  • 13
    Easy setup
  • 5
    Contract-based
  • 4
    Polyglot
Integrations
No integrations available
.NET
.NET
Swift
Swift
Java
Java
JavaScript
JavaScript
C++
C++
Kotlin
Kotlin

What are some alternatives to Finagle, gRPC?

Akka

Akka

Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.

Orleans

Orleans

Orleans is a framework that provides a straightforward approach to building distributed high-scale computing applications, without the need to learn and apply complex concurrency or other scaling patterns. It was created by Microsoft Research and designed for use in the cloud.

RxJS

RxJS

RxJS is a library for reactive programming using Observables, to make it easier to compose asynchronous or callback-based code. This project is a rewrite of Reactive-Extensions/RxJS with better performance, better modularity, better debuggable call stacks, while staying mostly backwards compatible, with some breaking changes that reduce the API surface.

Netty

Netty

Netty is a NIO client server framework which enables quick and easy development of network applications such as protocol servers and clients. It greatly simplifies and streamlines network programming such as TCP and UDP socket server.

REST

REST

An architectural style for developing web services. A distributed system framework that uses Web protocols and technologies.

Tokio

Tokio

It is an open source library providing an asynchronous, event driven platform for building fast, reliable, and lightweight network applications. It leverages Rust's ownership and concurrency model to ensure thread safety.

Redux Observable

Redux Observable

It allows developers to dispatch a function that returns an observable, promise or iterable of action(s). Compose and cancel async actions to create side effects and more.

JSON-RPC

JSON-RPC

It is a very simple protocol, defining only a few data types and commands. It allows for notifications (data sent to the server that does not require a response) and for multiple calls to be sent to the server which may be answered out of order.

Apache Dubbo

Apache Dubbo

It is a high-performance, light weight, java based RPC framework. Dubbo offers three key functionalities, which include interface based remote call, fault tolerance & load balancing, and automatic service registration & discovery.

ZIO

ZIO

It is a type-safe composable asynchronous and concurrent programming library for Scala that is based on pure functional programming.

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