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Protobuf vs Serde: What are the differences?

Introduction

This Markdown document provides a comparison between Protobuf and Serde, highlighting their key differences.

  1. Serializtion and Deserialization: Protobuf is a binary serialization format, whereas Serde is a framework for serializing and deserializing Rust data structures to and from different formats, including JSON, YAML, and others. Protobuf focuses on compactness and efficiency, while Serde provides more flexibility with different formats.

  2. Schema Definition: Protobuf requires the definition of a schema using a specialized language, typically stored in a .proto file. This schema defines the structure and data types of the serialized data. On the other hand, Serde relies on the Rust type system to infer the schema automatically, eliminating the need for explicit schema definition.

  3. Language Support: Protobuf is not limited to any specific programming language and provides support for several languages, including Java, C++, and Python, among others. On the contrary, Serde is a Rust-specific library and primarily caters to the Rust programming language.

  4. Backward Compatibility: Protobuf places importance on backward compatibility, allowing for the evolution of schemas while maintaining compatibility with older versions. Serde does not provide direct support for schema evolution and requires handling versioning and backward compatibility at the application level.

  5. Advanced Features: Protobuf offers advanced features such as automatic code generation and support for RPC (Remote Procedure Call) mechanisms. Serde, on the other hand, focuses more on the foundational aspects of serialization and deserialization and does not provide out-of-the-box support for RPC.

  6. Performance: Protobuf is known for its efficient binary encoding and decoding, resulting in compact data representations that can be transmitted quickly over a network. Serde, being more flexible and versatile, may have slightly lower performance compared to Protobuf due to the added overhead of supporting multiple serialization formats.

In Summary, Protobuf and Serde differ in their serialization approach, schema definition, language support, backward compatibility, advanced features, and performance characteristics.

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What is Protobuf?

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

What is 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.

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Jun 6 2019 at 5:11PM

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What are some alternatives to Protobuf and Serde?
JSON
JavaScript Object Notation is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language.
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.
ActiveMQ
Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.
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.
MQTT
It was designed as an extremely lightweight publish/subscribe messaging transport. It is useful for connections with remote locations where a small code footprint is required and/or network bandwidth is at a premium.
See all alternatives