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Apache Storm VS Supabase

Compare Apache Storm VS Supabase 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.

Supabase logo Supabase

An open source Firebase alternative
  • Apache Storm Landing page
    Landing page //
    2019-03-11
  • Supabase Landing page
    Landing page //
    2023-05-27

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.

Supabase features and specs

  • Real-time capabilities
    Supabase offers real-time database features that allow you to subscribe to database changes and sync data with your frontend seamlessly.
  • PostgreSQL foundation
    Supabase is built on PostgreSQL, a robust, mature, and highly extensible SQL database, providing strong data integrity and reliability.
  • Open-source
    Supabase is open-source, which means you can inspect, modify, and contribute to the source code. This fosters community engagement and transparency.
  • Ease of use
    Supabase provides an intuitive dashboard and auto-generated APIs, making it easy for developers to manage databases without extensive backend knowledge.
  • Authentication and Authorization
    Supabase includes pre-built authentication and authorization modules, supporting various sign-in methods like email, OAuth, and more, simplifying user management.
  • Scalability
    Supabase is designed to scale with your application, offering plans that can handle from small to large-scale traffic and data operations.

Possible disadvantages of Supabase

  • New and evolving
    As a relatively new platform, Supabase is still evolving, which means it might lack some features found in more mature solutions and could have occasional bugs or stability issues.
  • Limited integration
    Currently, Supabase has fewer third-party integrations compared to other established backend-as-a-service (BaaS) providers, which might limit its utility in diverse tech stacks.
  • Learning curve
    Despite its user-friendly interface, there could be a learning curve for those unfamiliar with PostgreSQL or real-time database concepts.
  • Pricing for advanced features
    While Supabase offers a free tier, advanced features, and higher usage plans come with a cost. This might be limiting for startups or hobby projects with tight budgets.
  • Limited geographic presence
    Supabase's infrastructure might have limited geographic data centers compared to larger cloud providers, potentially affecting latency and performance for users in certain regions.

Analysis of Supabase

Overall verdict

  • Supabase is a strong choice for developers looking for an affordable, open-source solution to manage their application's back-end with real-time data and user authentication.

Why this product is good

  • Supabase is an open-source alternative to Firebase, providing a robust back-end platform for web and mobile applications.
  • It offers real-time capabilities, authentication, and auto-generated APIs with PostgreSQL, making it versatile and efficient.
  • The platform is developer-friendly with excellent documentation and an active community.
  • Being open-source allows for greater flexibility and control over your projects.

Recommended for

  • Developers seeking an open-source alternative to Firebase.
  • Teams that require real-time data synchronization.
  • Projects needing a scalable and easy-to-use back-end solution.
  • Individuals or teams working with PostgreSQL.

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

Supabase videos

+ Add

Basic demo

More videos:

  • Review - Supabase in 100 Seconds by Fireship

Category Popularity

0-100% (relative to Apache Storm and Supabase)

Apache Storm

Supabase

Big Data
100 100%
Big Data
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Stream Processing
100 100%
Stream Processing
0% 0
Realtime Backend / API
0 0%
Realtime Backend / API
100% 100

User comments

Share your experience with using Apache Storm and Supabase. 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 Apache Storm and Supabase

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...
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

Supabase Reviews

10 Top Firebase Alternatives to Ignite Your Development in 2024
Supabase makes it incredibly easy to migrate from Firebase. Its data structure and APIs are designed to feel familiar, so you can switch without a major learning curve. Plus, the open-source nature means you have complete control over your code and data.
Source: genezio.com
Top 7 Firebase Alternatives for App Development in 2024
Community Support and Longevity: Investigate the size and activity of the platform's community. A larger, more active community can provide better support and resources. Platforms like Parse and Supabase have strong community support.
Source: signoz.io
5 Best Vercel Alternatives for Next.js & App Router
Supabase distinguishes itself through its focus on data and community-driven development. Self-hosting capabilities allow you to deploy Supabase's suite of products within your own infrastructure. This maintains data ownership while still leveraging Supabase's tools.
Source: il.ly
Best Serverless Backend Tools of 2023: Pros & Cons, Features & Code Examples
Create an account, a project, and a database. Unlike a NoSQL database like Firebase’s, you need to have a structure ready to be able to manipulate data. But once this step is done―and you’ll have ready-to-use templates to help speed up this part―you can call Supabase like so:
Source: www.rowy.io
2023 Firebase Alternatives: Top 10 Open-Source & Free
Supabase is another trusted platform in our list that calls itself an open-source alternative to Firebase. You can also name it one of the newest cloud service providers similar to Firebase because it launched in 2020. Indeed, with great scalability and documentation support, Supabase could be an ideal option.
Source: digitalcruch.com

Social recommendations and mentions

Based on our record, Supabase seems to be a lot more popular than Apache Storm. While we know about 506 links to Supabase, 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
View more

Supabase mentions (506)

View more

What are some alternatives?

When comparing Apache Storm and Supabase, 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.

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

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

Next.js - A small framework for server-rendered universal JavaScript apps

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

AppWrite - Appwrite provides web and mobile developers with a set of easy-to-use and integrate REST APIs to manage their core backend needs.

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