Preon

Preon

Preon is an object serializer that generates compact binary data formats. It aims to be an alternative to protocols like JSON and XML that focus on text-based serialization.
Preon image
binary serialization object

Preon: Object Serializer for Compact Binary Data

Preon generates compact binary data formats as an object serializer alternative to protocols like JSON and XML, focusing on text-based serialization.

What is Preon?

Preon is an open source Java library that can serialize Java objects into compact binary formats. It provides an alternative to text-based serialization protocols like JSON, XML, and YAML which can often result in bloated payloads.

Some key features and benefits of Preon include:

  • Lightweight and compact binary format - Results in reduced bandwidth usage compared to text formats
  • Good performance - Encoding and decoding is very fast
  • Extensible data model - Support for pluggable bindings makes it flexible
  • Integration with common protocols - Works well with transport layers like HTTP, STOMP etc.
  • Easy to use API - Simple annotation-based configuration for defining schemas

Preon focuses on generating efficient and small binary payloads. So it works well for scenarios where bandwidth/storage optimization is important like web services, data streaming applications, client-server systems etc. The use of binary formats also improves security compared to human-readable text.

Some downsides are that binary data is not human-readable during debugging, and there is less community/tooling support compared to widely adopted protocols like JSON.

Overall, Preon is a lightweight library that excels at producing compact binary representations of object graphs in Java applications.

Preon Features

Features

  1. Compact binary serialization
  2. Smaller payload sizes compared to text-based formats like JSON and XML
  3. Support for versioning and schema evolution
  4. Integration with common Java libraries and frameworks

Pricing

  • Open Source

Pros

More efficient data transfer due to smaller payload size

Built-in support for schema evolution

Easy to integrate with Java applications

Good performance

Cons

Limited adoption compared to more popular serialization formats

Less human-readable than text-based formats

Limited tools and ecosystem support


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