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Messagepack VS Apache Avro

Compare Messagepack VS Apache Avro and see what are their differences

Messagepack logo Messagepack

An efficient binary serialization format.

Apache Avro logo Apache Avro

Apache Avro is a comprehensive data serialization system and acting as a source of data exchanger service for Apache Hadoop.
  • Messagepack Landing page
    Landing page //
    2022-01-07
  • Apache Avro Landing page
    Landing page //
    2022-10-21

Messagepack videos

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Apache Avro videos

CCA 175 : Apache Avro Introduction

More videos:

  • Review - End to end Data Governance with Apache Avro and Atlas

Category Popularity

0-100% (relative to Messagepack and Apache Avro)
Configuration Management
100 100%
0% 0
Development
0 0%
100% 100
Mobile Apps
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Social recommendations and mentions

Messagepack might be a bit more popular than Apache Avro. We know about 13 links to it since March 2021 and only 12 links to Apache Avro. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Messagepack mentions (13)

  • Salt Exporter: the story behind the tool
    I also read that Salt was using MessagePack to format their messages. MessagePack is a format like JSON, but more compact. - Source: dev.to / 8 months ago
  • What is the fastest way to encode the arbitrary struct into bytes?
    So appreciate such a detailed reply, thanks. btw, why did you choose tinylib/msgp from 4 available go-impls? Source: over 1 year ago
  • Using Arduino as input to Rust project (help needed)
    If you find you're running the serial connection at maximum speed and it's still not fast enough, try switching to a more compact binary encoding that has both Serde and Arduino implementations, like MsgPack... Though I don't remember enough about its format off the top of my head to tell you the easiest way to put an unambiguous header on each packet/message to make the protocol self-synchronizing. Source: over 1 year ago
  • Java Serialization with Protocol Buffers
    The information can be stored in a database or as files, serialized in a standard format and with a schema agreed with your Data Engineering team. Depending on your information and requirements, it can be as simple as CSV, XML or JSON, or Big Data formats such as Parquet, Avro, ORC, Arrow, or message serialization formats like Protocol Buffers, FlatBuffers, MessagePack, Thrift, or Cap'n Proto. - Source: dev.to / over 1 year ago
  • Multiplayer Networking Solutions
    MessagePack Similar to JSONs, just more compact, although not as much as the ones above. Still, it's usefull to retain some readability in your messages. Source: over 1 year ago
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Apache Avro mentions (12)

  • Open Table Formats Such as Apache Iceberg Are Inevitable for Analytical Data
    Apache AVRO [1] is one but it has been largely replaced by Parquet [2] which is a hybrid row/columnar format [1] https://avro.apache.org/. - Source: Hacker News / 5 months ago
  • Generating Avro Schemas from Go types
    The most common format for describing schema in this scenario is Apache Avro. - Source: dev.to / 5 months ago
  • gRPC on the client side
    Other serialization alternatives have a schema validation option: e.g., Avro, Kryo and Protocol Buffers. Interestingly enough, gRPC uses Protobuf to offer RPC across distributed components:. - Source: dev.to / over 1 year ago
  • Understanding Azure Event Hubs Capture
    Apache Avro is a data serialization system, for more information visit Apache Avro. - Source: dev.to / over 1 year ago
  • tl;dr of Data Contracts
    Once things like JSON became more popular Apache Avro appeared. You can define Avro files which can then be generated into Python, Java C, Ruby, etc.. classes. Source: over 1 year ago
View more

What are some alternatives?

When comparing Messagepack and Apache Avro, you can also consider the following products

Protobuf - Protocol buffers are a language-neutral, platform-neutral extensible mechanism for serializing structured data.

Apache Ambari - Ambari is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Hadoop clusters.

YAML - YAML 1.2 --- YAML: YAML Ain't Markup Language

Apache Pig - Pig is a high-level platform for creating MapReduce programs used with Hadoop.

TOML - TOML - Tom's Obvious, Minimal Language

Apache HBase - Apache HBase – Apache HBase™ Home