https://DevOpsCloud.io -- Cloud Monk Losang Jinpa, Ph.D., MCSE/MCT, GitOps DevOps Engineer

Don't Return to Misconfigured Serialization Frameworks, Misconfigured Serialization Settings, Misconfigured Logging of Deserialization Errors

Apache Avro (introduced in 2009) is a data serialization system that provides rich data structures and a compact, fast, binary data format. It is widely used with Hadoop and supports schema evolution, making it an excellent choice for data interchange between systems. It uses JSON for defining schemas and binary for data serialization.

https://avro.apache.org/

Protocol Buffers (commonly called Protobuf, introduced by Google in 2008) is a highly efficient, lightweight serialization framework used for data interchange. It is language-neutral and platform-neutral, allowing communication between systems written in different programming languages.

https://protobuf.dev/

Apache Thrift (introduced in 2007) is a serialization framework developed by Facebook that supports both data serialization and remote procedure calls (RPC). It provides support for multiple programming languages and enables efficient cross-language communication.

https://thrift.apache.org/

MessagePack (introduced in 2013) is a binary serialization format similar to JSON but much faster and more compact. It is compatible with various programming languages, making it an excellent choice for cross-language data interchange.

https://msgpack.org/

Cap'n Proto (introduced by Sandstorm.io in 2013) is an efficient serialization framework that eliminates the need for parsing, reducing the overhead in data serialization tasks. It is designed for high-performance scenarios where speed is critical.

https://capnproto.org/

FlatBuffers (introduced by Google in 2014) is a highly efficient cross-platform serialization framework designed for games and other performance-critical applications. It provides zero-copy deserialization, making it extremely fast.

https://google.github.io/flatbuffers/

CBOR (Concise Binary Object Representation, introduced in 2013) is a schema-less binary data format designed for small data exchanges. It is widely used in IoT and other constrained environments.

https://cbor.io/

BSON (Binary JSON, introduced by MongoDB in 2009) is a binary serialization format similar to JSON, optimized for size and speed. It is the native data format for MongoDB and is widely used in NoSQL databases.

https://bsonspec.org/

Kryo (introduced in 2010) is a fast and efficient serialization framework for Java. It is widely used in distributed systems and in-memory data grids for its compact binary representation and speed.

https://github.com/EsotericSoftware/kryo

Hessian (introduced by Caucho Technology in 2004) is a binary serialization framework designed for Java. It is language-independent and provides a lightweight solution for data serialization and RPC.

http://hessian.caucho.com/

Jackson (introduced in 2009) is a widely used serialization framework for Java known for its high performance and compatibility with JSON. It is extensible and supports multiple data formats like XML and CBOR.

https://github.com/FasterXML/jackson

JSON (introduced in 2001) is a lightweight data interchange format that is easy to use and human-readable. It is widely used across web applications and supported by all major programming languages.

https://www.json.org/json-en.html

YAML (introduced in 2001) is a human-readable data serialization standard often used for configuration files and data exchange. It supports complex data structures and is popular in DevOps environments.

https://yaml.org/

XML (introduced in 1998) is a widely used markup language for data serialization and transfer. It is verbose but highly extensible and supported across platforms and languages.

https://www.w3.org/XML/

Pickle (introduced in Python in 1994) is the native serialization framework for Python. It is simple and efficient for object serialization and deserialization within the same language.

https://docs.python.org/3/library/pickle.html

SerDe (introduced as part of Apache Hive in 2008) provides serialization and deserialization capabilities for structured data in Hadoop. It is integral to big data frameworks.

https://cwiki.apache.org/confluence/display/Hive/SerDe

Avro4s (introduced in 2012) is a Scala wrapper for Apache Avro that simplifies serialization and deserialization for Scala developers. It provides type-safe operations with schema evolution support.

https://github.com/sksamuel/avro4s

Protobuf-net (introduced in 2008) is a .NET implementation of Google Protocol Buffers. It allows efficient data serialization for dot NET applications and supports backward compatibility.

https://github.com/protobuf-net/protobuf-net

Fastjson (introduced by Alibaba in 2012) is a high-performance serialization framework for Java. It is widely used in Chinese tech ecosystems and optimized for speed and flexibility.

https://github.com/alibaba/fastjson

Flexjson (introduced in 2009) is a lightweight Java serialization framework for converting objects into JSON and vice versa. It is particularly suited for RESTful APIs.

https://flexjson.github.io/

JavaScript Object Notation (JSON, introduced in 2001) is a lightweight data-interchange format. It is easy to write and parse, and it is platform-independent, making it a favorite in web development.

https://www.json.org/

SimpleXML (introduced in 2005) is a lightweight XML serialization framework for Java. It provides a simple, reusable, and extensible solution for XML serialization.

http://simple.sourceforge.net/

Avro4K (introduced in 2018) is a Kotlin wrapper for Apache Avro that simplifies serialization and deserialization for Kotlin developers, enhancing productivity in data engineering.

https://github.com/avro-k/avro4k

Jackson-Scala (introduced in 2011) is a Scala module for Jackson that provides additional features tailored for Scala, such as support for case classes and Scala collections.

https://github.com/FasterXML/jackson-module-scala