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Elixir VS Apache Storm

Compare Elixir VS Apache Storm and see what are their differences

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

Elixir logo Elixir

Dynamic, functional language designed for building scalable and maintainable applications

Apache Storm logo Apache Storm

Apache Storm is a free and open source distributed realtime computation system.
  • Elixir Landing page
    Landing page //
    2022-07-20

We recommend LibHunt Elixir for discovery and comparisons of trending Elixir projects.

  • Apache Storm Landing page
    Landing page //
    2019-03-11

Elixir features and specs

  • Concurrency
    Elixir leverages the Erlang VM (BEAM) for exceptional concurrency support, making it suitable for scalable and fault-tolerant applications.
  • Fault Tolerance
    Built-in supervision trees in Elixir allow for robust fault tolerance, enabling applications to recover gracefully from errors.
  • Performance
    Elixir boasts impressive performance characteristics, especially for I/O-bound operations, thanks to its efficient concurrency model.
  • Ecosystem
    Elixirโ€™s ecosystem, including the Phoenix framework, provides a rich set of libraries and tools for web development and more.
  • Syntax
    Elixirโ€™s syntax is clean and modern, making it more approachable for developers coming from Ruby or other high-level languages.
  • Metaprogramming
    Elixir supports powerful metaprogramming capabilities, enabling DSLs and macros to add custom functionalities in a seamless manner.
  • Scalability
    Elixir applications can scale vertically and horizontally with ease, making it a good choice for growing applications that need to handle increased load.

Possible disadvantages of Elixir

  • Learning Curve
    Despite its approachable syntax, Elixirโ€™s concurrency and fault-tolerant models can be challenging for developers to master.
  • Ecosystem Maturity
    While growing, the Elixir ecosystem isnโ€™t as mature or extensive as that of languages like Python or JavaScript, which might limit available libraries or community support.
  • Tooling
    The tooling around Elixir, while adequate, may not be as polished or feature-rich as in more established languages.
  • Performance
    Although strong in handling concurrent operations, Elixir may not outperform languages like C++ or Go in CPU-bound tasks.
  • Hiring
    Finding experienced Elixir developers can be difficult compared to more prevalent languages like JavaScript or Python, potentially limiting hiring pools.
  • Resource Usage
    Applications built with Elixir can consume more memory compared to applications written in more low-level languages.
  • Framework Dependency
    Reliance on the Phoenix framework means that projects are often tightly coupled to it, which might limit flexibility.

Apache Storm features and specs

  • Real-Time Processing
    Apache Storm is designed for processing data in real-time, which makes it ideal for applications like fraud detection, recommendation systems, and monitoring tools.
  • Scalability
    Storm is capable of scaling horizontally, allowing it to handle increasing amounts of data by adding more nodes, making it suitable for large-scale applications.
  • Fault Tolerance
    Storm provides robust fault-tolerance mechanisms by rerouting tasks from failed nodes to operational ones, ensuring continuous processing.
  • Broad Language Support
    Apache Storm supports multiple programming languages, including Java, Python, and Ruby, allowing developers to use the language they are most comfortable with.
  • Open Source Community
    Being an Apache project, Storm benefits from a strong open-source community, which contributes to its development and offers abundant resources and support.

Possible disadvantages of Apache Storm

  • Complex Setup
    Setting up and configuring Apache Storm can be complex and time-consuming, requiring detailed knowledge of its architecture and the underlying infrastructure.
  • High Learning Curve
    The architecture and components of Storm can be difficult for new users to grasp, leading to a steeper learning curve compared to some other streaming platforms.
  • Maintenance Overhead
    Managing and maintaining a Storm cluster can require significant effort, including monitoring, troubleshooting, and scaling the infrastructure.
  • Error Handling
    While Storm is fault-tolerant, its error handling at the application level can sometimes be challenging, requiring careful design to manage failures effectively.
  • Resource Intensive
    Storm can be resource-intensive, particularly in terms of memory and CPU usage, which can lead to increased costs and necessitate powerful hardware.

Analysis of Elixir

Overall verdict

  • Elixir is a powerful and efficient programming language, particularly well-suited for applications that require high concurrency and fault tolerance. Its growing ecosystem and supportive community further add to its appeal.

Why this product is good

  • Community
    The Elixir community is active and vibrant, providing extensive resources, guides, and a welcoming environment for developers.
  • Ecosystem
    Elixir has a growing ecosystem with powerful tools and libraries like Phoenix for web development, offering high performance and productivity.
  • Concurrency
    Elixir is known for its excellent support for concurrent programming, leveraging the Erlang VM (BEAM) to easily handle many processes simultaneously, making it ideal for scalable applications.
  • Fault tolerance
    It inherits Erlang's robust supervision strategies, allowing developers to build systems that can gracefully handle failures and continue running.
  • Functional programming
    Elixir is a functional programming language, which promotes immutability and first-class functions, leading to clear and maintainable code.

Recommended for

  • Developers building distributed systems or applications requiring high concurrency.
  • Companies looking for scalable and fault-tolerant backend solutions.
  • Teams interested in functional programming languages.
  • Web developers seeking a performant, modern framework like Phoenix.

Elixir videos

+ Add

Product Review: Elixir - Finally, something good?

More videos:

  • Review - REVIEW SENAR GITAR AKUSTIK TERMAHAL (ELIXIR NANOWEB PHOSPOR BRONZE) ORIGINAL
  • Review - As Seen on IG | Episode 1 | KO Elixir Cream | One Month Update | Product Review

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 Elixir and Apache Storm)

Elixir

Apache Storm

Programming Language
100 100%
Programming Language
0% 0
Big Data
0 0%
Big Data
100% 100
OOP
100 100%
OOP
0% 0
Stream Processing
0 0%
Stream Processing
100% 100

User comments

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Reviews

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

Elixir Reviews

Top 10 Rust Alternatives
Elixir is a functional and all-purpose programming language. It is believed to operate on BEAM and uses the imposition of a programming language known as Erlang. This language is typed dynamically and strongly.
Source: blog.back4app.com

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 developerโ€™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

Based on our record, Elixir should be more popular than Apache Storm. It has been mentiond 93 times since March 2021. 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.

Elixir mentions (93)

  • Kanell/0, Yet Another Pipeline-like Library
    When I started to work with Dart and Flutter, few weeks ago, I was looking for something like Erlang finite state machine or Elixir Plug. The first one is most about dealing with state change and events, the second is to easily compose data-structures over functions. In both case, when a developer starts to use one of them, it is impossible to come back, and one will try to reproduce it in any language (in my... - Source: dev.to / about 1 month ago
  • Standalone HTTP Server with Relic in Dart
    How to store in-memory data in Dart and how to do it correctly? What kind of solution do we have to "share" a reference to an object containing data? Let review the solution I would have used on Erlang/Elixir:. - Source: dev.to / 3 months ago
  • Standalone HTTP Server in Elixir with Bandit
    Writing Elixir code is not really exciting to me, but, to be honest, if someone today wants to create an application from scratch and is looking for a big pool developers and a battle tested distributed infrastructure (the BEAM VM), Elixir is probably one of the best choice nowadays. The community is active, the documentation is great, the language looks like a mix between Ruby and Python, without the annoying... - Source: dev.to / 3 months ago
  • Organizing flash messages in Phoenix
    Phoenix is a framework for Elixir, the same way Rails is a framework for Ruby. Its mission is to be a productive framework that doesn't compromise on speed or maintainability. - Source: dev.to / 4 months ago
  • Installing Elixir with ASDF
    I've heard about Elixir since it appeared and I built small things to play with, but I never really got into it. What motivated me, besides the job opportunities popping up in Brazil and the world, is the community. Everyone is very welcoming and embraces diversity, which in my view is exactly what's needed to grow a language further. - Source: dev.to / 4 months 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 3 years 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 3 years ago
  • In One Minute : Hadoop
    Storm, a system for real-time and stream processing. - Source: dev.to / over 3 years ago
  • Elon Musk reportedly wants to fire 75% of Twitterโ€™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: almost 4 years 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 4 years ago
View more

What are some alternatives?

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

Clojure - Clojure is a dynamic, general-purpose programming language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming.

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

Rust - A safe, concurrent, practical language

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

NIM - GB64.COM is the home of The Gamebase Collection of C64 games.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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