Software Alternatives, Accelerators & Startups

PlainAdmin VS Apache Storm

Compare PlainAdmin VS Apache Storm and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

PlainAdmin logo PlainAdmin

PlainAdmin is an Open-source freemium Bootstrap 5 based vanilla JS multipurpose admin template comes with - all essential dashboard components, pages, UI elements, charts, graphs, libraries and everything you may need for a data-rich backends.

Apache Storm logo Apache Storm

Apache Storm is a free and open source distributed realtime computation system.
  • PlainAdmin Landing page
    Landing page //
    2023-09-03
  • Apache Storm Landing page
    Landing page //
    2019-03-11

PlainAdmin features and specs

  • User-Friendly Interface
    PlainAdmin offers a clean and intuitive interface that simplifies navigation and administration for users, making it accessible even for those with minimal technical expertise.
  • Customizable Themes
    The platform provides numerous themes that can be easily customized to suit individual preferences or brand guidelines, ensuring a consistent look and feel across the application.
  • Responsive Design
    PlainAdmin is designed to be fully responsive, ensuring a seamless user experience on both desktop and mobile devices, which is crucial for modern web applications.
  • Comprehensive Documentation
    Extensive and well-organized documentation aids developers and administrators in understanding and utilizing the platform's features effectively, reducing the learning curve.
  • Integration Capabilities
    The platform supports easy integration with various third-party services and APIs, allowing for enhanced functionality and versatility in different applications.

Possible disadvantages of PlainAdmin

  • Limited Advanced Features
    Compared to some other admin panel solutions, PlainAdmin might lack certain advanced features and customization options needed for more complex applications.
  • Potential Performance Issues
    As with any web application, the performance of PlainAdmin could be compromised if not properly optimized, especially when dealing with large datasets.
  • Dependency on External Libraries
    The reliance on external libraries and plugins could lead to potential security vulnerabilities if those libraries are not properly managed and updated.
  • Learning Curve for Customization
    While there is comprehensive documentation, users may still face a learning curve when attempting to implement deeper customizations or integrate complex functionalities.
  • Limited Community Support
    Being relatively new or niche, PlainAdmin may not have a large community for support and community-driven development compared to more established admin panel solutions.

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.

PlainAdmin videos

No PlainAdmin videos yet. You could help us improve this page by suggesting one.

Add video

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

Category Popularity

0-100% (relative to PlainAdmin and Apache Storm)
Developer Tools
100 100%
0% 0
Big Data
0 0%
100% 100
Design Tools
100 100%
0% 0
Stream Processing
0 0%
100% 100

User comments

Share your experience with using PlainAdmin and Apache Storm. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

PlainAdmin Reviews

We have no reviews of PlainAdmin yet.
Be the first one to post

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...

Social recommendations and mentions

Based on our record, Apache Storm seems to be a lot more popular than PlainAdmin. While we know about 11 links to Apache Storm, we've tracked only 1 mention of PlainAdmin. 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.

PlainAdmin mentions (1)

  • Launched 🚀 Open-source Bootstrap Admin Template on ProductHunt and Its Trending on Top ⚡
    Today, I launched an open source Bootstrap admin template on Product Hunt and its trending on top #7 🔥 You can check out demo or download from our site or GitHub if you never heard of about this admin template. Source: over 3 years ago

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
View more

What are some alternatives?

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

Soft UI Dashboard - Admin dashboard template for Bootstrap 5

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

Flatlogic - AI-Powered Software Development for Startups and Businesses

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

DesignRevision - Powerful tools for web professionals

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