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  1. Stackups
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  4. Serialization Frameworks
  5. Apache Thrift vs Finagle

Apache Thrift vs Finagle

OverviewComparisonAlternatives

Overview

Apache Thrift
Apache Thrift
Stacks193
Followers245
Votes0
GitHub Stars10.8K
Forks4.1K
Finagle
Finagle
Stacks69
Followers101
Votes10
GitHub Stars8.9K
Forks1.4K

Apache Thrift vs Finagle: What are the differences?

Introduction

Apache Thrift and Finagle are both frameworks for building scalable and efficient network applications. While they share some similarities, there are several key differences between the two.

  1. Language Support: Apache Thrift is designed to support multiple programming languages, including C++, Java, Python, and more. In contrast, Finagle is primarily focused on providing a scalable and high-performance networking stack for building applications in Scala and Java.

  2. Transport Protocols: Thrift supports a wide range of transport protocols such as HTTP, TCP, and WebSocket, making it flexible for different use cases. Finagle, on the other hand, is primarily built on top of the TCP transport protocol, providing a reliable and efficient network communication layer.

  3. Service Framework: Apache Thrift offers a complete service framework with built-in support for service discovery, load balancing, and fault tolerance. It provides a full RPC stack, including code generation, serialization, and transport layers. Finagle, however, provides a more lightweight and modular approach, allowing developers to choose and configure individual components as needed.

  4. Concurrency Model: Thrift uses a thread-per-request concurrency model, where each incoming request is handled by a dedicated thread. This approach can lead to increased resource consumption and scalability limitations. Finagle, on the other hand, utilizes a highly efficient event-driven and asynchronous programming model with non-blocking I/O, enabling it to handle a large number of concurrent connections with fewer resources.

  5. Integration with Other Systems: Thrift has built-in support for integrating with various data storage systems, message queues, and frameworks, such as Hadoop, Cassandra, and Kafka. It provides highly efficient serialization and deserialization mechanisms for interoperability. Finagle, on the other hand, focuses more on providing networking abstractions and does not have the same level of built-in integrations.

  6. Community and Ecosystem: Apache Thrift has a larger and more mature community with extensive documentation, support, and a wide range of contributors. It is widely used in large-scale applications and has been battle-tested over the years. Finagle, while gaining popularity, is still relatively newer with a smaller community and fewer resources available.

In summary, Apache Thrift offers a comprehensive service framework with support for multiple programming languages and transport protocols, making it suitable for building complex and interoperable systems. Finagle, on the other hand, focuses on providing a scalable and efficient networking stack primarily for Scala and Java applications, utilizing an event-driven and asynchronous programming model.

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Detailed Comparison

Apache Thrift
Apache Thrift
Finagle
Finagle

The Apache Thrift software framework, for scalable cross-language services development, combines a software stack with a code generation engine to build services that work efficiently and seamlessly between C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, JavaScript, Node.js, Smalltalk, OCaml and Delphi and other languages.

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.

Statistics
GitHub Stars
10.8K
GitHub Stars
8.9K
GitHub Forks
4.1K
GitHub Forks
1.4K
Stacks
193
Stacks
69
Followers
245
Followers
101
Votes
0
Votes
10
Pros & Cons
No community feedback yet
Pros
  • 4
    Fast
  • 3
    Open Source
  • 3
    HTTP-friendly

What are some alternatives to Apache Thrift, Finagle?

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.

MessagePack

MessagePack

It is an efficient binary serialization format. It lets you exchange data among multiple languages like JSON. But it's faster and smaller. Small integers are encoded into a single byte, and typical short strings require only one extra byte in addition to the strings themselves.

Protobuf

Protobuf

Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data – think XML, but smaller, faster, and simpler.

Avro

Avro

It is a row-oriented remote procedure call and data serialization framework developed within Apache's Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format.

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.

Serde

Serde

It is a framework for serializing and deserializing Rust data structures efficiently and generically. The ecosystem consists of data structures that know how to serialize and deserialize themselves along with data formats that know how to serialize and deserialize other things. It provides the layer by which these two groups interact with each other, allowing any supported data structure to be serialized and deserialized using any supported data format.

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.

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