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  1. Stackups
  2. Application & Data
  3. Frameworks
  4. Serialization Frameworks
  5. Avro vs Sonic

Avro vs Sonic

OverviewComparisonAlternatives

Overview

Avro
Avro
Stacks419
Followers178
Votes0
Sonic
Sonic
Stacks7
Followers8
Votes0
GitHub Stars8.8K
Forks418

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CLI (Node.js)
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Detailed Comparison

Avro
Avro
Sonic
Sonic

It is a row-oriented remote procedure call and data serialization framework developed within Apache's Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format.

It is a blazingly fast JSON serializing & deserializing library, accelerated by JIT (just-in-time compiling) and SIMD (single-instruction-multiple-data).

Schema Evolution; Code Generation; Untagged Data; Language Support
Runtime object binding without code generation; Complete APIs for JSON value manipulation
Statistics
GitHub Stars
-
GitHub Stars
8.8K
GitHub Forks
-
GitHub Forks
418
Stacks
419
Stacks
7
Followers
178
Followers
8
Votes
0
Votes
0
Integrations
Java
Java
PHP
PHP
Python
Python
Ruby
Ruby
C++
C++
C#
C#
Linux
Linux
JSON
JSON

What are some alternatives to Avro, Sonic?

MessagePack

MessagePack

It is an efficient binary serialization format. It lets you exchange data among multiple languages like JSON. But it's faster and smaller. Small integers are encoded into a single byte, and typical short strings require only one extra byte in addition to the strings themselves.

Protobuf

Protobuf

Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data – think XML, but smaller, faster, and simpler.

Apache Thrift

Apache Thrift

The Apache Thrift software framework, for scalable cross-language services development, combines a software stack with a code generation engine to build services that work efficiently and seamlessly between C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, JavaScript, Node.js, Smalltalk, OCaml and Delphi and other languages.

Serde

Serde

It is a framework for serializing and deserializing Rust data structures efficiently and generically. The ecosystem consists of data structures that know how to serialize and deserialize themselves along with data formats that know how to serialize and deserialize other things. It provides the layer by which these two groups interact with each other, allowing any supported data structure to be serialized and deserialized using any supported data format.

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