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V (programming language) VS Apache Storm

Compare V (programming language) 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

V (programming language) logo V (programming language)

Simple, fast, safe, compiled language for developing maintainable software.

Apache Storm logo Apache Storm

Apache Storm is a free and open source distributed realtime computation system.
  • V (programming language) Landing page
    Landing page //
    2022-11-25
  • Apache Storm Landing page
    Landing page //
    2019-03-11

V (programming language) features and specs

  • Fast Compilation
    V is designed to compile extremely fast, typically within less than a second, regardless of the size of the codebase.
  • Simplicity
    The syntax is simple and easy to learn, drawing inspiration from languages like Go and Python which reduces the learning curve for new developers.
  • Performance
    V aims to offer high performance akin to C, enabling developers to write highly efficient programs.
  • Safe Programming
    It includes built-in mechanisms to avoid common bugs and aims to provide safety features like immutable data structures and option types.
  • Single Binary
    V produces a single small binary without external dependencies, making distribution straightforward and more secure.
  • Cross-Platform
    V supports cross-compilation out of the box, allowing developers to build applications for multiple operating systems from a single codebase.

Possible disadvantages of V (programming language)

  • Maturing Ecosystem
    As a relatively new language, V's ecosystem, including libraries, frameworks, and community support, is still growing and may not be as mature as more established languages.
  • Limited Tooling
    Compared to more established languages, tools like IDE support, debuggers, and other development utilities are still limited or in early stages.
  • Smaller Community
    The community around V is smaller, which can result in fewer resources, tutorials, and third-party libraries being available.
  • Learning Curve for Advanced Features
    While the syntax is simple, mastering some of V's advanced features and paradigms may pose a learning curve to developers coming from more mainstream languages.
  • Rapid Changes
    As the language is still evolving, there can be rapid changes and updates which may introduce breaking changes or require frequent revisions of codebases.

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 V (programming language)

Overall verdict

  • V is a promising language for developers looking for performance and simplicity, with a distinct focus on developer experience. However, as it is relatively new, it still has a smaller community and ecosystem compared to established languages.

Why this product is good

  • V is designed to be simple, fast, and easy to use, drawing inspiration from languages like Go and Rust. It offers fast compilation, cross-platform capabilities, safety features like option types and memory management without a garbage collector, and a strong emphasis on simplicity.

Recommended for

  • Developers interested in a language with fast compilation times.
  • Projects where compile time performance and efficiency are crucial.
  • Developers who want to try a language that combines the principles of simplicity and speed.
  • Enthusiasts looking to be part of a growing community and contribute to an emerging language.

V (programming language) videos

+ Add

V Programming Language (Vlang): First Impression - Mike Shah

More videos:

  • Review - Introduction to V and its features (Sydney Computing Society)
  • Review - Testing the NEW "V" programming language!
  • Demo - Presentation of Vlang at IBM
  • Review - An introduction to V (Vlang)

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 V (programming language) and Apache Storm)

V (programming language)

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 V (programming language) and Apache Storm

V (programming language) Reviews

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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 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, V (programming language) should be more popular than Apache Storm. It has been mentiond 78 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.

V (programming language) mentions (78)

  • Is possible a language easy as py, fast as C, more secure than Rust?
    How about v-lang? https://vlang.io/ Not python, but, go-like syntax, and satisfies other stuff you mentioned. - Source: Hacker News / 4 months ago
  • Solod โ€“ A Subset of Go That Translates to C
    Somewhat similar language, https://vlang.io Itโ€™s a mix of go and rust syntax that translates to C. - Source: Hacker News / 4 months ago
  • Odin: Moving Towards a New "core:OS"
    Language explorers looking for lower level languages like this may also want to take a peek at the V language. https://vlang.io/ I won't say with confidence either is better than the other; but I think both are worth a look. Odin (iiuc) always makes you manage memory; Vlang permits you to, but does also have linking to the Boehm GC that it will generate for you in most cases. Vlang and Odin in terms of syntax and... - Source: Hacker News / 8 months ago
  • Go is still not good
    There are other choices of languages, that are close to and influenced by Golang. Languages such as Odin[1] and Vlang[2] (which addresses several issues mentioned). Even more, they are at the stage where advance programmers can contribute or influence them in the ways that they might find satisfactory. Golang is too far down the road and cemented in its ways, to expect such significant changes in direction. [1]:... - Source: Hacker News / 12 months ago
  • Koto Programming Language
    > For me the biggest gap in programming languages is a rust like language with a garbage collector, instead of a borrow checker. https://vlang.io. - Source: Hacker News / 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 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 V (programming language) and Apache Storm, you can also consider the following products

Nim (programming language) - The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.

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

D (Programming Language) - D is a language with C-like syntax and static typing.

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

Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...

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

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