Avro is a data serialization system. Avro provides: Rich data structures. A compact, fast, binary data format. A container file, to store persistent data. Remote procedure call (RPC). Simple integration with dynamic languages. Code generation is not required to read or write data files nor to use or implement RPC protocols. Code generation as an optional optimization, only worth implementing for statically typed languages.

Avro is a data serialization system. It is a subproject of Apache Hadoop.

Avro

Protocol buffers are a language-neutral, platform-neutral extensible mechanism for serializing structured data. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. 

Protocol Buffers - Google's data interchange format

In gRPC a client application can directly call methods on a server application on a different machine as if it was a local object, making it easier for you to create distributed applications and services. As in many RPC systems, gRPC is based around the idea of defining a service, specifying the methods that can be called remotely with their parameters and return types. 

gRPC-Java - The Java gRPC implementation. HTTP/2 based RPC

Schemas describe and document data models. If you have data, you should have a schema. Google's Protocol Buffers are built around a great schema language. It's cross platform and language independent. Whatever programming language you use, you'll be able to use proto schemas with your application. Proto schemas are backwards-compatible and future-proof. You can evolve your schema as your application loses old features and gains new ones.
 
Why Wire? 
The Protocol Buffers schema language and binary encoding are both defined by Google. Wire is an independent implementation from Square that's specifically designed for Android and Java. For each message type defined in the schema, Wire generates an immutable model class and its builder. The generated code looks like code you'd write by hand: it's documented, formatted, and simple. Wire's APIs should feel at home to programmers who like Effective Java.

Schemas describe and document data models. If you have data, you should have a schema. Google's Protocol Buffers are built around a great schema language. It's cross platform and language independent. Whatever programming language you use, you'll be able to use proto schemas with your application. Proto schemas are backwards-compatible and future-proof. You can evolve your schema as your application loses old features and gains new ones.

Wire - Clean, lightweight protocol buffers for Android and Java.

Jackson is one of best JSON parser for Java. More than that, Jackson 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, PCollections and many, many more.

Jackson - Best JSON parser for Java

Ribbon is a client side IPC library that is battle-tested in cloud. It provides Load balancing, Fault tolerance, Multiple protocol (HTTP, TCP, UDP),  support in an asynchronous and reactive model Caching and batching.


Ribbon - IPC library with built in software load balancers

Fastjson is a Java library that can be used to convert Java Objects into their JSON representation. It can also be used to convert a JSON string to an equivalent Java object. Fastjson can work with arbitrary Java objects including pre-existing objects that you do not have source-code of.

fastjson - Fast JSON Processor

Apache Juneau is a single cohesive Java ecosystem consisting of the following parts juneau-marshall, juneau-dto, juneau-svl, juneau-config, juneau-rest-server, juneau-rest-client, juneau-microservice.
 
<ul>
	<li>juneau-marshall A universal toolkit for marshalling POJOs to a wide variety of content types using a common framework with no external library dependencies.
	</li><li>juneau-dto A variety of predefined DTOs for serializing and parsing languages such as HTML5, Swagger and ATOM.
	</li><li>juneau-svl A simple yet powerful variable replacement language API.
	</li><li>juneau-config A sophisticated configuration file API.
	</li><li>juneau-rest-server A universal REST server API for creating Swagger-based self-documenting REST interfaces using POJOs, simply deployed as 
		one or more top-level servlets in any Servlet 3.1.0+ container.
	</li><li>juneau-rest-client A universal REST client API for interacting with Juneau or 3rd-party REST interfaces using POJOs and proxy interfaces.
	</li><li>juneau-microservice A REST microservice API that combines all the features above with a simple configurable Jetty server for 
		creating lightweight standalone REST interfaces that start up in milliseconds.
</li></ul>

Apache Juneau is a single cohesive Java ecosystem consisting of the following parts juneau-marshall, juneau-dto, juneau-svl, juneau-config, juneau-rest-server, juneau-rest-client, juneau-microservice.

Apache Juneau - Single cohesive framework

SBE is an OSI layer 6 presentation for encoding and decoding binary application messages for low-latency financial applications. This repository contains the reference implementations in Java, C++, Golang, and C#. The Java and C++ SBE implementations are designed with work very efficiently with the Aeron messaging system for low-latency and high-throughput communications. The Java SBE implementation has a dependency on Agrona for its buffer implementations.

Simple Binary Encoding - Simple Binary Encoding (SBE) - High Performance Message Codec

The Dali Java Persistence Tools Project, a sub-project of the Web Tools Platform Project , provides extensible frameworks and tools for the definition and editing of Object-Relational (O/R) mappings for Java Persistence API (JPA) entities. JPA mapping support focuses on minimizing the complexity of mapping by providing entity generation wizards, design-time validation, and a rich UI for entity and persistence unit configuration. 

Dali - Java Persistence Tools from Eclipse

A Java implementation of the Amazon Ion data notation. Amazon Ion is a richly-typed, self-describing, hierarchical data serialization format offering interchangeable binary and text representations. 
  

Ion-java -  Java streaming parser/serializer for Ion

MicroStream is a Java-native object graph persistence engine for storing any complex Java object graph or any single subgraph and restoring it in RAM at any time by using a fundamentally new serialization concept designed from scratch. With MicroStream, not only the entire object graph, but also partial subgraphs, or only single objects can be restored in RAM on demand. Beyond serialization, MicroStream is ACID transaction safe, can handle your class changes, provides a garbage collector for the storage, multi-threaded IO, and connectors for various data storages.


Microstream - High Performance Java-Native Object Graph Persistence


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