Apache Thrift vs Sonic
Overview
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CLI (Node.js)
Manual
Detailed Comparison
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. | It is a blazingly fast JSON serializing & deserializing library, accelerated by JIT (just-in-time compiling) and SIMD (single-instruction-multiple-data). |
| - | Runtime object binding without code generation;
Complete APIs for JSON value manipulation |
Statistics | |
GitHub Stars 10.8K | GitHub Stars 8.8K |
GitHub Forks 4.1K | GitHub Forks 418 |
Stacks 193 | Stacks 7 |
Followers 245 | Followers 8 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
What are some alternatives to Apache Thrift, Sonic?
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
Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data – think XML, but smaller, faster, and simpler.
Avro
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.
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.
