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  5. Jackson vs Serde

Jackson vs Serde

OverviewComparisonAlternatives

Overview

Jackson
Jackson
Stacks452
Followers74
Votes0
GitHub Stars9.6K
Forks1.2K
Serde
Serde
Stacks113
Followers11
Votes0
GitHub Stars10.1K
Forks863

Jackson vs Serde: What are the differences?

# Introduction
Here are the key differences between Jackson and Serde for data serialization and deserialization.

1. **Data Formats Supported**: Jackson supports JSON, XML, YAML, and other data formats, whereas Serde primarily focuses on JSON data serialization and deserialization.

2. **Error Handling**: Jackson uses checked exceptions for error handling, making it more verbose and requiring more lines of code to handle errors, while Serde uses Result types for error handling which can simplify the code.

3. **Community Support**: Jackson is a widely used library with a large and active community providing extensive documentation and support, while Serde, although popular in the Rust community, may have fewer resources and community support.

4. **Programming Languages**: Jackson is primarily used in Java for data serialization and deserialization, while Serde is a popular choice for Rust developers.

5. **Performance**: Jackson is known for its fast performance, especially for JSON serialization and deserialization, while Serde offers good performance but may not be as fast as Jackson for certain use cases.

6. **Customization**: Serde allows for more fine-grained customization of serialization and deserialization behavior through its traits system, whereas Jackson provides annotations for customization which may not be as flexible in some cases.

In Summary, Jackson and Serde differ in their data format support, error handling mechanisms, community support, programming languages, performance, and customization options for data serialization and deserialization.

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Detailed Comparison

Jackson
Jackson
Serde
Serde

It is a suite of data-processing tools for Java (and the JVM platform), including the flagship streaming JSON parser / generator library, matching data-binding library (POJOs to and from JSON) and additional data format modules to process data encoded in Avro, BSON, CBOR, CSV, Smile, (Java) Properties, Protobuf, XML or YAML; and even the large set of data format modules to support data types of widely used data types such as Guava, Joda.

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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Serializing and deserializing Rust data structures; Efficient
Statistics
GitHub Stars
9.6K
GitHub Stars
10.1K
GitHub Forks
1.2K
GitHub Forks
863
Stacks
452
Stacks
113
Followers
74
Followers
11
Votes
0
Votes
0
Integrations
No integrations available
Rust
Rust

What are some alternatives to Jackson, Serde?

Quarkus

Quarkus

It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.

MyBatis

MyBatis

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

guava

guava

The Guava project contains several of Google's core libraries that we rely on in our Java-based projects: collections, caching, primitives support, concurrency libraries, common annotations, string processing, I/O, and so forth.

Thymeleaf

Thymeleaf

It is a modern server-side Java template engine for both web and standalone environments. It is aimed at creating elegant web code while adding powerful features and retaining prototyping abilities.

JSF

JSF

It is used for building component-based user interfaces for web applications and was formalized as a standard through the Java Community

JavaMelody

JavaMelody

It is used to monitor Java or Java EE application servers in QA and production environments. It is not a tool to simulate requests from users, it is a tool to measure and calculate statistics on real operation of an application depending on the usage of the application by users. It is mainly based on statistics of requests and on evolution charts.

RxJava

RxJava

A library for composing asynchronous and event-based programs by using observable sequences for the Java VM.

MapStruct

MapStruct

It is a code generator that greatly simplifies the implementation of mappings between Java bean types based on a convention over configuration approach. The generated mapping code uses plain method invocations and thus is fast, type-safe and easy to understand.

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.

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