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Apache Avro VS Apache Storm

Compare Apache Avro VS Apache Storm and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

Apache Storm logo Apache Storm

Apache Storm is a free and open source distributed realtime computation system.
  • Apache Avro Landing page
    Landing page //
    2022-10-21
  • Apache Storm Landing page
    Landing page //
    2019-03-11

Apache Avro videos

+ Add

CCA 175 : Apache Avro Introduction

More videos:

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

Apache Storm videos

+ Add

Apache Storm Tutorial For Beginners | Apache Storm Training | Apache Storm Example | Edureka

More videos:

  • Review - Developing Java Streaming Applications with Apache Storm
  • Review - Atom Text Editor Option - Real-Time Analytics with Apache Storm

Category Popularity

0-100% (relative to Apache Avro and Apache Storm)

Apache Avro

Apache Storm

Development
100 100%
Development
0% 0
Big Data
0 0%
Big Data
100% 100
Data Dashboard
49 49%
Data Dashboard
51% 51
Stream Processing
0 0%
Stream Processing
100% 100

User comments

Share your experience with using Apache Avro and Apache Storm. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Avro and Apache Storm

Apache Avro Reviews

We have no reviews of Apache Avro yet.
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Apache Storm Reviews

Top 15 Kafka Alternatives Popular In 2021
Apache Storm is a recognized, distributed, open-source real-time computational system. It is free, simple to use, and helps in easily and accurately processing multiple data streams in real-time. Because of its simplicity, it can be utilized with any programming language and that is one reason it is a developer’s preferred choice. It is fast, scalable, and integrates well...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Storm is an open-source distributed real-time computational system for processing data streams. Similar to what Hadoop does for batch processing, Apache Storm does for unbounded streams of data in a reliable manner. Built by Twitter, Apache Storm specifically aims at the transformation of data streams. Storm has many use cases like real-time analytics, online machine...
Source: www.analyticsinsight.net

Social recommendations and mentions

Apache Avro might be a bit more popular than Apache Storm. We know about 12 links to it since March 2021 and only 11 links to Apache Storm. 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.

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

Apache Storm mentions (11)

  • Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges
    There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago
  • Real Time Data Infra Stack
    Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 1 year ago
  • In One Minute : Hadoop
    Storm, a system for real-time and stream processing. - Source: dev.to / over 1 year ago
  • Elon Musk reportedly wants to fire 75% of Twitter’s employees
    Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: over 1 year ago
  • Spark for beginners - and you
    Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 2 years ago
View more

What are some alternatives?

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

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

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Apache HBase - Apache HBase – Apache HBase™ Home

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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