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JSON VS Apache Avro

Compare JSON VS Apache Avro and see what are their differences

JSON logo JSON

(JavaScript Object Notation) is a lightweight data-interchange 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.
  • JSON Landing page
    Landing page //
    2021-09-28
  • Apache Avro Landing page
    Landing page //
    2022-10-21

JSON videos

Parsing JSON Review - Part 1

More videos:

  • Review - Parsing JSON Review - Part 2
  • Review - JSon Foreign Vol.1 Review

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 JSON 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

JSON 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.

JSON mentions (13)

  • The Last Breaking Change | JSON Schema Blog
    The YAML 0.1 spec was sent to a public user group in May 2001. JSON was named in a State Software internal discussion. State Software was founded in March 2001. json.org was launched in 2002. Therefore you’re just wrong: YAML came out before JSON. Source: over 1 year ago
  • Why does wine give warnings about using 64bit prefixes, or has 32bit packages? Hasn't the world moved on from 32 bit a century ago?
    How come that doesn't apply to other libraries? For example, when I write Java or Node.js programs, I don't need to make sure packages like json.org or express.js have a 32bit or 64bit environment. What makes windows libs different than NPM libs? Source: almost 2 years ago
  • “Ignore the f'ing haters ” And other lessons learned from creating a popular
    The first two sentences of the text on http://json.org are "JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write." It's a primary goal of JSON, it's fair to question whether it's successful at it. Personally, I'd much rather write TOML or S expressions. I don't like YAML at all, the whitespace sensitivity drives me nuts. - Source: Hacker News / almost 2 years ago
  • Recording your JSON data to MCAP, a file format that support multiple serialization formats
    To help you make the transition, we’ve written a tutorial on how to write an MCAP writer in Python to record JSON data to an MCAP file. Source: almost 2 years ago
  • replace \" with "
    What you need to probably do is to step back and learn the format for JSON, and the core data structures that you will find in most languages:. Source: almost 2 years ago
View more

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 JSON and Apache Avro, you can also consider the following products

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

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

TOML - TOML - Tom's Obvious, Minimal Language

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

Microsoft Office Access - Access is now much more than a way to create desktop databases. It’s an easy-to-use tool for quickly creating browser-based database applications.

Apache HBase - Apache HBase – Apache HBase™ Home