Data Serialization Tools
Browse the tools available to address the Data Serialization concept in your next programming project.
ActiveModelSerializersActiveModelSerializers brings convention over configuration to your JSON generation.
AlbaAlba is a fast, easy and idiomatic serializer for Ruby.
Apache ArrowApache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware.
Apache ORCApache ORC is a high-performance columnar storage format for Hadoop workloads. It supports complex data types, including nested data structures and column-level statistics.
Apache ParquetApache Parquet is a columnar storage format that is optimized for large-scale analytics workloads. It supports nested data structures and schema evolution.
ArrowApache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware.
AvroApache Avro is a data serialization system. It provides rich data structures, a compact binary encoding, and a simple RPC system.
BluePrinterBlueprinter is a fast and easy JSON serialization library for Ruby objects.
BoonBoon is a Java library that provides a high-performance JSON, XML, and YAML library for Java. It also includes a fast data binding library for Java.
Boost.IostreamsBoost.Iostreams is a library that provides a framework for defining stream-based I/O operations, and includes support for compression, encryption, and filtering.
Boost.SerializationBoost.Serialization is a library for serializing and deserializing C++ objects to/from a sequence of bytes. It provides an efficient and flexible way to store objects in files, databases, or across a network.
Boost.SerializationSerialization is the process of converting an object into a stream of bytes for storage or transmission, and then deserializing the object from that stream. The Boost C++ Libraries provide a library for serialization and deserialization of C++ objects.
BSONBSON is a binary serialization format used to store documents and make remote procedure calls in MongoDB. It is a lightweight and efficient way to represent and transfer data.
Cap'n ProtoCap’n Proto is an insanely fast data interchange format and capability-based RPC system. Think JSON, except binary.
CBORCBOR is a binary data serialization format that is used to serialize data in a compact and efficient manner. It is widely used in IoT, blockchain, and other areas where data needs to be transmitted over a network or stored in a compact form.
CSV parserGoCSV is a CSV parser and writer for Go.
CSV RubyCSV is a Ruby library that provides a way to work with CSV (Comma Separated Values) files. It is included in Ruby's standard library.
DaskDask is a flexible parallel computing library for analytic computing in Python.
DaskDask is a flexible parallel computing library for analytic computing in Python.
Fast JSON APIFast JSON API serializer for Ruby Objects. Serialize your Ruby objects to JSON at blazing speeds!
Flask-RESTfulFlask-RESTful is an extension for Flask that adds support for building REST APIs quickly and easily.
FractalFractal provides a presentation and transformation layer for complex data output, the like found in RESTful APIs, and works really well with JSON.
GencodeGencode is a high-performance and feature-rich encoding and decoding library for the Go programming language.
GobGob is a Go library for handling typed binary data. It uses a simple reflection-based API to encode and decode data structures to and from a binary format.
GogoprotobufGogoprotobuf is a fork of Google's protocol buffers with extra features.
Hadoop SequenceFileHadoop SequenceFile is a flat file consisting of binary key/value pairs used for storing binary data, often serialization formats like Protocol Buffers, Avro, or Thrift.
HessianCppHessian is a binary serialization protocol developed for the Java programming language. HessianCpp is a C++ implementation of the Hessian protocol.
IgBinaryIgBinary is a binary serialization format for PHP that is designed to be more compact and faster than the standard PHP serialization format.
JacksonJackson is a high-performance JSON processor for Java, used to serialize or map Java objects to JSON and vice versa.
JBuilderJbuilder gives you a simple and powerful way to generate JSON documents from your Ruby objects. It has a simple DSL for building JSON structure.
JMS SerializerThe Serializer component (or JMSSerializer) translates between objects and specific formats such as JSON, XML, or YAML.
JSONAPI RBA Ruby implementation of the JSON API specification.
JSONAPI SerializerJSONAPI Serializer is a lightweight library for serializing Ruby objects into JSONAPI-compliant payloads.
JSONcppJSONcpp is a C++ library that allows manipulating JSON values, including serialization and deserialization to and from strings.
KryoKryo is a fast and efficient Java object serialization framework, supporting objects and primitives, references, automatic and manual registration, and limited compatibility with other serialization frameworks.
LumenLumen is a PHP micro-framework built to deliver microservices and blazing fast APIs. It's created by the developers of the Laravel framework.
MarshalMarshal is a module for serializing and deserializing Ruby objects. It converts complex Ruby objects into a byte stream, which can be stored, transmitted, and later reconstituted into the original object.
MarshmallowMarshmallow is a lightweight library for converting complex objects to and from simple Python datatypes.
MessagePackMessagePack is a binary serialization format that is compact and fast to encode/decode. It supports many programming languages and data formats.
MSGPack-CliMSGPack-Cli is a MessagePack serialization/deserialization library for .NET and .NET Core with the ability to generate C# source code for serialization/deserialization routines based on MessagePack specifications.
Newtonsoft.JsonNewtonsoft.Json is a popular high-performance JSON framework for .NET
OjOj is a fast JSON parser and serializer for Ruby. It is written in C as an extension and bundled with Ruby.
PHP SerializationPHP Serialization is a way of converting PHP data structures into a format that can be stored or transmitted over a network.
PicklePickle is a Python module that can convert objects in memory to a serialized byte stream and back. It is commonly used for data serialization, configuration file storage, and network protocols.
ProtoBuf.NETprotobuf-net is a .NET implementation of the Protocol Buffers serialization format. It allows for efficient serialization and deserialization of .NET objects.
Protocol BuffersProtocol Buffers is a language- and platform-neutral serialization format developed by Google. It is widely used for transmitting structured data between systems, especially in distributed computing environments.
PSONPSON is a lightweight binary serialization format for JSON that maps 1:1 with JSON while supporting binary encoding.
ServiceStack.TextServiceStack.Text is a .NET library for fast, compact, binary and JSON serialization of .NET objects. It is designed to have a small footprint and lightning-fast performance.
Symfony SerializerThe Symfony Serializer component provides an implementation for serializing and deserializing PHP objects. It supports many different formats, including JSON, XML, and YAML.
Utf8JsonUtf8Json is a fast and lightweight JSON serializer and deserializer for .NET Core and .NET Framework. It provides high performance and low memory allocation compared to other JSON libraries.
XML SerializationXML serialization is the process of converting an object's state to a string of XML, and deserialization is the process of recreating an object from an XML string.
YAMLYAML is a human-readable data serialization format. It is commonly used for configuration files and data exchange between languages with different data structures.
#What is Data Serialization?
Data Serialization is the process of converting complex data objects into a structured format that can be easily stored, transmitted, and reconstructed later on. In software development, this is a crucial task as data serialization enables the exchange of data between different systems and programming languages. The serialized data can be transmitted over a network, stored in a file, or sent between client and server.
#Data Serialization usage benefits
Here are some benefits of Data Serialization:
- Enables the exchange of data between different systems and programming languages.
- Reduces the size of the data to be transmitted or stored, making it more efficient.
- Ensures that the data is formatted in a consistent way, making it easier to work with.
- Allows for the preservation of complex data structures, such as trees or graphs.
- Facilitates the implementation of caching mechanisms by allowing the storage and retrieval of serialized data.
- Provides a level of security by allowing the encryption and decryption of serialized data.
#Data Serialization comparison criteria
Here are some comparison criteria for Data Serialization tools in software development:
- Support for multiple data formats
- Performance and scalability
- Memory usage
- Cross-platform compatibility
- Data validation options
- Support for complex data structures
- Type safety
- Extensibility and customization options
- Support for backward and forward compatibility
- Error handling and reporting capabilities
- Integration with other development tools
- Integration with web services and APIs
- Security and encryption options
- Code generation and mapping features
- Third-party library availability
- Documentation and resources
- Community support and adoption
- Licensing and cost
- Vendor reputation and support
- Compliance with industry standards and best practices.
#Data Serialization Summary
Data Serialization is the process of converting complex data objects into a structured format that can be easily transmitted, stored, and reconstructed. It provides many benefits, including efficient data exchange between different systems, easier handling of complex data structures, and the ability to implement caching and security mechanisms.