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  1. Stackups
  2. Application & Data
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  4. Serialization Frameworks
  5. Avro vs gRPC

Avro vs gRPC

OverviewComparisonAlternatives

Overview

Avro
Avro
Stacks419
Followers178
Votes0
gRPC
gRPC
Stacks2.4K
Followers1.4K
Votes64
GitHub Stars43.9K
Forks11.0K

Avro vs gRPC: What are the differences?

Introduction

Avro and gRPC are two popular technologies used in the field of software development for enabling communication between different systems. While both serve similar purposes, there are some key differences between Avro and gRPC that developers need to be aware of when choosing one over the other. In this article, we will explore these differences in detail.

  1. Serialization Format: Avro uses a compact binary serialization format, which makes it more efficient in terms of network bandwidth and storage space. On the other hand, gRPC uses Protocol Buffers as its serialization format, which offers a balance between efficiency and human readability.

  2. Communication Protocols: Avro primarily relies on the HTTP/REST protocol for communication between different systems. It follows a stateless request-response communication model. In contrast, gRPC uses the HTTP/2 protocol for communication, which is a more efficient and high-performance protocol supporting bidirectional streaming, server push, and other advanced features.

  3. Language Support: Avro supports a wide range of programming languages, including Java, C, C++, Python, Ruby, and more. It provides language-specific APIs for these languages. On the contrary, gRPC has strong support for multiple languages, including Java, C++, Python, Go, Ruby, C#, and more. It also provides language-specific APIs and code generation tools for seamless integration.

  4. Service Definition: Avro uses a schema-based approach for defining the data structures and message formats. It requires a schema to be defined in advance, and both the sender and receiver must be aware of the schema for successful communication. In contrast, gRPC uses a service definition language (Protocol Buffers IDL) to define the operations, messages, and RPC services. It allows for more flexibility and simplifies the process of defining and updating interfaces.

  5. Transport Layer: Avro supports multiple transport protocols, including HTTP/REST, Apache Kafka, and file-based transport. It can adapt to different transport layers based on the specific use cases. On the other hand, gRPC uses the HTTP/2 protocol as the default transport layer. It ensures efficient and low-latency communication over the network.

  6. Open Source Ecosystem: Avro has a well-established open-source ecosystem with a range of tools and libraries available for integration and development. It is part of the Apache Software Foundation and has a strong community support. Meanwhile, gRPC is also an open-source technology backed by Google and has gained significant popularity in recent years. It offers a growing ecosystem with various libraries and frameworks available.

In summary, Avro and gRPC have several key differences. Avro uses binary serialization, primarily relies on HTTP/REST, provides schema-based data definition, and has a wide language support. On the other hand, gRPC uses Protocol Buffers, utilizes HTTP/2, has service definition language support, and offers strong support for multiple languages.

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Detailed Comparison

Avro
Avro
gRPC
gRPC

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.

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...

Schema Evolution; Code Generation; Untagged Data; Language Support
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
-
GitHub Stars
43.9K
GitHub Forks
-
GitHub Forks
11.0K
Stacks
419
Stacks
2.4K
Followers
178
Followers
1.4K
Votes
0
Votes
64
Pros & Cons
No community feedback yet
Pros
  • 25
    Higth performance
  • 15
    The future of API
  • 13
    Easy setup
  • 5
    Contract-based
  • 4
    Polyglot
Integrations
Java
Java
PHP
PHP
Python
Python
Ruby
Ruby
C++
C++
C#
C#
.NET
.NET
Swift
Swift
Java
Java
JavaScript
JavaScript
C++
C++
Kotlin
Kotlin

What are some alternatives to Avro, gRPC?

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.

REST

REST

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

Apache Thrift

Apache Thrift

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.

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.

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.

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.

Mercury

Mercury

A modular JSON-RPC library that allows pluggable transport layers, JSON libraries, and effect/async monads. It is used to communicate with embedded devices where the device is acting in the server role.

Sonic

Sonic

It is a blazingly fast JSON serializing & deserializing library, accelerated by JIT (just-in-time compiling) and SIMD (single-instruction-multiple-data).

Tars

Tars

It is an open-source microservice platform. It contains a high-performance RPC framework and a service management platform. Based on Tars, you can develop a reliable microservice system efficiently. It is designed for high reliability, high performance, and efficient service management. By significantly reducing system operation work, developers can focus on business logic and meet fast changes of user requirements.

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