Software Alternatives, Accelerators & Startups

Igloo Software VS Apache Storm

Compare Igloo Software 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.

Igloo Software logo Igloo Software

Igloo is a modern intranet, it connects people with the information they need to do their best work.

Apache Storm logo Apache Storm

Apache Storm is a free and open source distributed realtime computation system.
  • Igloo Software Landing page
    Landing page //
    2023-05-09
  • Apache Storm Landing page
    Landing page //
    2019-03-11

Igloo Software

$ Details
-
Release Date
2008 January
Startup details
Country
Canada
State
Ontario
City
Kitchener
Founder(s)
Dan Latendre
Employees
100 - 249

Igloo Software features and specs

  • User-Friendly Interface
    Igloo Software provides an easy-to-navigate interface that allows users to quickly locate documents, manage tasks, and communicate effectively.
  • Customization Options
    The platform offers a variety of customization options, enabling organizations to tailor their digital workplace according to their specific needs and branding guidelines.
  • Integration Capabilities
    Igloo Software integrates well with other essential business tools like Microsoft Office 365, Google Workspace, and various third-party applications, which helps in streamlining workflows.
  • Cloud-Based
    Being a cloud-based solution, Igloo Software ensures easy accessibility from any location, promoting remote and hybrid work environments.
  • Engagement Tools
    Offers features such as forums, polls, and social feeds that enhance employee engagement and encourage collaboration across the organization.

Possible disadvantages of Igloo Software

  • Pricing
    Igloo Software can be relatively expensive, particularly for smaller businesses or startups with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, some users may experience a learning curve when trying to fully utilize all the features and capabilities of the platform.
  • Limited Offline Access
    The platform primarily functions best with a stable internet connection and offers limited offline capabilities, which can be a drawback in areas with poor connectivity.
  • Customization Complexity
    While there are numerous customization options available, these can sometimes become complex and require technical expertise to implement effectively.
  • Feature Overload
    Some users may find the extensive feature set overwhelming, making it difficult to focus on the tools that are most relevant to their needs.

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 Igloo Software

Overall verdict

  • Igloo Software is a strong option for businesses seeking a versatile intranet solution.

Why this product is good

  • Igloo Software offers a range of features including communication tools, collaboration capabilities, and content management, making it suitable for companies seeking to improve internal communication and collaboration. It is user-friendly and highly customizable, which helps in tailoring the platform to meet specific organizational needs.

Recommended for

    Igloo Software is recommended for medium to large enterprises that require a scalable intranet solution to enhance employee engagement, streamline communication, and boost productivity across distributed teams.

Igloo Software videos

IGloo Review - Keys to a million dollar launch (IGloo Software Review) - IGloo App Review

More videos:

  • Demo - Igloo Software Demonstration

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 Igloo Software and Apache Storm)
Project Management
100 100%
0% 0
Big Data
0 0%
100% 100
Work Collaboration
100 100%
0% 0
Stream Processing
0 0%
100% 100

User comments

Share your experience with using Igloo Software 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 Igloo Software and Apache Storm

Igloo Software Reviews

The Best 21 Sharepoint Alternatives in 2019
Igloo’s focus is on helping teams work faster and achieve more. Your company can store files online, so role players can find information, no matter where they are. Your team will also benefit from these features that come standard:
7 SharePoint Alternatives for Every Business Function
The added features, of course, make Igloo noticeably more expensive than Confluence. If you’re looking for a one-stop-shop solution for team management, though, it might be worth a shot.
Source: tallyfy.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 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 more popular. It has been mentiond 11 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.

Igloo Software mentions (0)

We have not tracked any mentions of Igloo Software yet. Tracking of Igloo Software recommendations started around Mar 2021.

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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What are some alternatives?

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

Communifire - Enterprise Social Collaboration Software

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

Workplace by Facebook - Connect everyone in your company and turn ideas into action.

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

DigitalChalk - Online Training Software and Learning Management System (LMS)

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