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Apache Storm VS Productivity Power Tools

Compare Apache Storm VS Productivity Power Tools and see what are their differences

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Apache Storm logo Apache Storm

Apache Storm is a free and open source distributed realtime computation system.

Productivity Power Tools logo Productivity Power Tools

Extension for Visual Studio - A set of extensions to Visual Studio 2012 Professional (and above) which improves developer productivity.
  • Apache Storm Landing page
    Landing page //
    2019-03-11
  • Productivity Power Tools Landing page
    Landing page //
    2023-09-20

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.

Productivity Power Tools features and specs

  • Enhanced Features
    Productivity Power Tools provide numerous enhancements to the existing Visual Studio features, making navigation and coding more efficient.
  • Customization Options
    Users can customize the development environment to better suit their workflow, which can lead to increased productivity.
  • Improved Code Navigation
    The tools include enhanced navigation options, such as quick tabs and better search capabilities, allowing developers to find code faster.
  • Refactoring and Formatting
    The suite includes tools that assist with code refactoring and formatting, which can help maintain consistent code quality across projects.
  • Debugging Aids
    Debugging tools are improved, offering more intuitive ways to troubleshoot and resolve bugs in the code.

Possible disadvantages of Productivity Power Tools

  • Compatibility Issues
    Some users have reported compatibility issues with certain versions of Visual Studio or specific extensions.
  • Resource Intensive
    The additional features may consume extra system resources, potentially affecting the performance of the IDE on lower-end hardware.
  • Steep Learning Curve
    The variety of tools and options may overwhelm new users, leading to a steep learning curve.
  • Potential for Dependency
    Reliance on these tools might limit a developer's ability to work efficiently in environments where they are not available.
  • Update and Maintenance
    Regular updates and maintenance are required to ensure compatibility with the latest versions of Visual Studio, which can be time-consuming.

Analysis of Productivity Power Tools

Overall verdict

  • Yes, Productivity Power Tools is generally considered a good set of extensions for Visual Studio users. It enhances the development environment with features that many users find useful in improving their efficiency and productivity during coding sessions. The tools are well-integrated, easy to use, and regularly updated to stay compatible with newer versions of Visual Studio.

Why this product is good

  • Productivity Power Tools is a collection of extensions for Visual Studio that aims to improve and streamline the developer experience. It includes features such as enhanced code navigation, better tab management, and customizable editor enhancements. These tools are designed to make coding more efficient and reduce the cognitive load on developers by automating repetitive tasks and improving the overall workflow.

Recommended for

    Productivity Power Tools is recommended for software developers and engineers who use Visual Studio as their primary Integrated Development Environment (IDE). It is particularly beneficial for those looking to enhance their coding efficiency, improve navigation within the IDE, and customize their development environment to better suit their personal workflow preferences.

Apache Storm videos

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

Productivity Power Tools videos

Productivity Power Tools 2017

Category Popularity

0-100% (relative to Apache Storm and Productivity Power Tools)
Big Data
100 100%
0% 0
Regular Expressions
0 0%
100% 100
Stream Processing
100 100%
0% 0
Developer Tools
0 0%
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 Apache Storm and Productivity Power Tools

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...
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...

Productivity Power Tools Reviews

We have no reviews of Productivity Power Tools yet.
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Social recommendations and mentions

Based on our record, Productivity Power Tools seems to be a lot more popular than Apache Storm. While we know about 486 links to Productivity Power Tools, we've tracked only 11 mentions of 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 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 2 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 2 years ago
  • In One Minute : Hadoop
    Storm, a system for real-time and stream processing. - Source: dev.to / over 2 years 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 2 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 3 years ago
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Productivity Power Tools mentions (486)

  • Mistral Code
    > Mistral Code Enterprise is a fork of Continue. All due credit to the original creators of Continue. Source: https://marketplace.visualstudio.com/items?itemName=mistralai.mistral-code Link destination: https://www.continue.dev/. - Source: Hacker News / 1 day ago
  • Mistral Code
    The extension seems to be enterprise only. https://marketplace.visualstudio.com/items?itemName=mistralai.mistral-code. - Source: Hacker News / 1 day ago
  • Machine Code Isn't Scary
    IMO It depends a lot on the assembly flavour. The best ISA for learning is probably the Motorola 68000, followed by some 8-bit CPUs (6502, 6809, Z80), also probably ARM1, although I never had to deal with it. I always thought that x86 assembly is ugly (no matter if Intel or AT&T). > It quickly becomes tedious to do large programs IME with modern tooling, assembly coding can be surprisingly productive. For instance... - Source: Hacker News / 2 days ago
  • Copy Excel to Markdown Table (and vice versa)
    Https://marketplace.visualstudio.com/items?itemName=csholmq.excel-to-markdown-table And of course, markdowntools (multiple conversion tools):. - Source: Hacker News / 7 days ago
  • Edamagit: Magit for VSCode
    Gitless is this fork https://marketplace.visualstudio.com/items?itemName=maattdd.gitless it's not updated but still works well. - Source: Hacker News / 8 days ago
View more

What are some alternatives?

When comparing Apache Storm and Productivity Power Tools, you can also consider the following products

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

rubular - A ruby based regular expression editor

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

RegExr - RegExr.com is an online tool to learn, build, and test Regular Expressions.

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

RegexPlanet Ruby - RegexPlanet offers a free-to-use Regular Expression Test Page to help you check RegEx in Ruby free-of-cost.