Software Alternatives, Accelerators & Startups
Register | Login

Hex VS Apache Storm

Compare Hex VS Apache Storm and see what are their differences

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
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.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Hex logo Hex

Hex is a modern data platform for data science and analytics. Collaborative notebooks, beautiful data apps and enterprise-grade security.

Apache Storm logo Apache Storm

Apache Storm is a free and open source distributed realtime computation system.
  • Hex Landing page
    Landing page //
    2023-10-15
  • Apache Storm Landing page
    Landing page //
    2019-03-11

Hex features and specs

  • Collaboration
    Hex provides a collaborative environment where data scientists, analysts, and other stakeholders can work together in real-time, enhancing teamwork and improving productivity.
  • Integration
    Hex integrates well with various data sources and platforms, making it easier to pull in data from different systems and analyze it within a single interface.
  • Visualization
    The platform offers robust visualization tools that allow users to create interactive and insightful data visualizations, helping to communicate findings effectively.
  • User-friendly Interface
    Hex is designed with an intuitive and user-friendly interface, making it accessible for both technical and non-technical users to perform data analysis.
  • Version Control
    The platform includes version control features, which helps teams to track changes, revert to previous versions, and manage project iterations efficiently.

Possible disadvantages of Hex

  • Learning Curve
    Users may encounter a learning curve when getting started with the platform, especially if they are not familiar with data analysis tools or collaboration software.
  • Resource Intensive
    Running complex data analyses on Hex might require significant computing resources, which could be a limitation for teams with constrained budgets or infrastructure.
  • Limited Customization
    While Hex offers a variety of features, there might be limitations in terms of customization and flexibility to tailor the platform to specific organizational needs.
  • Dependence on Internet
    Being a cloud-based service, Hex requires a reliable internet connection to function effectively, which might be a challenge in areas with limited connectivity.
  • Cost
    The subscription and usage costs associated with Hex can be a concern for smaller organizations or startups that need to manage their budgets carefully.

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.

Hex videos

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

Add video

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 Hex and Apache Storm)

Hex

Apache Storm

Analytics
100 100%
Analytics
0% 0
Big Data
0 0%
Big Data
100% 100
AI
100 100%
AI
0% 0
Stream Processing
0 0%
Stream Processing
100% 100

User comments

Share your experience with using Hex 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 Hex and Apache Storm

Hex Reviews

12 Best Jupyter Notebook Alternatives [2023] โ€“ Features, pros & cons, pricing
Hex is a cloud-based platform for data science that offers many of the same features as Jupyter Notebooks, as well as a number of additional capabilities. It supports a wide variety of programming languages, including Python, R, and Julia, and provides access to powerful hardware resources, including GPUs. Hex also has a built-in code editor and supports a wide range of...
Source: noteable.io

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

Apache Storm might be a bit more popular than Hex. We know about 11 links to it since March 2021 and only 9 links to Hex. 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.

Hex mentions (9)

  • The DuckDB Local UI
    This looks very similar to https://hex.tech/. - Source: Hacker News / over 1 year ago
  • Show HN: Briefer โ€“ multiplayer notebooks with schedules, SQL, and built-in LLMs
    Would you say this is an alternative to https://hex.tech/, or does this fill a different niche? - Source: Hacker News / almost 2 years ago
  • Ask HN: Who is hiring? (July 2024)
    Hex | Visualization Engineer | Remote - US | https://hex.tech/ Hex is changing the way people work with data. Our platform makes analytics workflows more powerful, collaborative, and shareable. Hex solves key pain points with today's data and analytics tooling, and is loved by thousands of users all over the world for the beautiful UI, new superpowers, and boundless flexibility. We are a tight-knit crew of... - Source: Hacker News / about 2 years ago
  • Show HN: Thread โ€“ AI-powered Jupyter Notebook built using React
    Are you thinking Thread would be an open-source alternative to Hex (https://hex.tech)? I was thinking of doing something like this last year, but I couldn't figure out a good business model. Google Colab is cheap (free, $10 per month) and Hex isn't that expensive (considering the compute cost they need to cover). If you focus on local, you're going against VS Code and Jupyter. Both are free and very good. - Source: Hacker News / about 2 years ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Hex - a collaborative data platform for notebooks, data apps, and knowledge libraries. Free community version with up to 3 authors and five projects. One compute profile per author with 4GB RAM. - Source: dev.to / over 2 years 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: over 3 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 Hex and Apache Storm, you can also consider the following products

Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...

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

Basedash - Connect your database. Get an admin panel. Basedash is an AI-generated interface to visualize, edit, and explore your data.

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

TalktoData AI - Data analytics made easy with AI

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

Loading...