Jackson

Jackson's low-level streaming API enables efficient parsing and generation of large data streams with minimal memory overhead, as emphasized in its core modules for handling big datasets.

Supports seamless conversion between POJOs and numerous formats like JSON, XML, YAML, CSV, Avro, and Protobuf through an extensible module system, making it versatile for diverse data pipelines.

A vast ecosystem of modules adds support for libraries such as Guava, Joda-Time, Kotlin, and Scala, facilitating integration with popular Java frameworks and datatypes.

Flexible configuration via annotations allows detailed control over serialization and deserialization, reducing boilerplate code and enabling custom behaviors like ignoring properties.