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Apache Storm VS Firebase

Compare Apache Storm VS Firebase and see what are their differences

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Contents:
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  2. Ā» Videos
  3. Ā» Reviews
  4. Ā» Alternatives

Apache Storm logo Apache Storm

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

Firebase logo Firebase

Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
  • Apache Storm Landing page
    Landing page //
    2019-03-11
  • Firebase Landing page
    Landing page //
    2023-10-20

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.

Firebase features and specs

  • Real-time Database
    Firebase offers a real-time NoSQL database that allows for real-time data synchronization across multiple devices. This is useful for applications that require immediate updates, like chat apps or live dashboards.
  • Easy Integration
    Firebase provides easy SDK integrations for Android, iOS, and web platforms. This helps in quick setup and reduces the time needed to get your application running.
  • Scalability
    Firebase services are built on Google's infrastructure, offering robust scalability to handle growing user bases and their corresponding data.
  • Authentication Services
    Firebase includes built-in authentication services, supporting email/password, Google, Facebook, Twitter, and more. This simplifies the process of user management.
  • Backend-as-a-Service
    Firebase provides a suite of tools, such as Firestore, Cloud Functions, and Storage, that allow you to build a comprehensive backend without managing server infrastructure.
  • Free Tier Availability
    Firebase offers a range of free tier options that allow developers to get started without incurring costs, making it appealing for startups and small projects.
  • Cross-Device Sync
    Firebase enables cross-device sync of application data in real-time, which is beneficial for applications where seamless data flow between devices is crucial.
  • Analytics Integration
    Firebase includes Firebase Analytics, a free app measurement solution that provides insights on app usage and user engagement.

Possible disadvantages of Firebase

  • Vendor Lock-In
    Firebase is a proprietary service provided by Google. Depending heavily on it can lead to vendor lock-in, making it difficult to switch to other platforms in the future.
  • Pricing for Large Scale Apps
    While Firebase offers a free tier, the pricing can become expensive for large-scale applications with heavy data and usage requirements, potentially leading to higher costs.
  • Limited Querying Capabilities
    Firebase's real-time database and Firestore come with certain querying limitations compared to SQL databases. Complex queries and joins might be difficult to implement efficiently.
  • Security Rules Complexity
    Configuring security rules for Firebase can be complex and error-prone, which can lead to security vulnerabilities if not handled correctly.
  • Data Migration Challenges
    Migrating data in and out of Firebase can be challenging, especially if you're moving to or from a different database system.
  • Limited Customization
    Because Firebase is a managed service, there is limited ability to customize the backend to meet specific requirements or use cases, unlike self-hosted solutions.
  • Latency Issues
    While Firebase aims to be globally distributed, users may experience latency issues depending on their geographic location in relation to Firebase servers.
  • Feature Parity
    Certain advanced features available in Firebase might not have parity across all platforms (iOS, Android, Web), making consistent cross-platform development more challenging.

Analysis of Firebase

Overall verdict

  • Firebase is generally considered a good option for developers who need a reliable and feature-rich backend solution without the hassle of server management. It is especially praised for its real-time database capabilities and ease of use.

Why this product is good

  • Firebase is a comprehensive suite of products that helps developers build, improve, and grow mobile and web applications. It offers a variety of tools and features such as real-time databases, authentication, cloud storage, analytics, and hosting. It is fully managed by Google, which means developers can focus on developing their apps without worrying about backend infrastructure. Furthermore, Firebase integrates easily with other Google services and provides robust user and device analytics.

Recommended for

  • Mobile app developers looking for a scalable backend solution.
  • Startups and small teams who want to minimize infrastructure overhead.
  • Developers who need real-time data synchronization.
  • Projects that would benefit from seamless integration with other Google services such as Google Cloud and Google Analytics.
  • Teams looking to quickly prototype and launch MVPs (Minimum Viable Products).

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

Firebase videos

+ Add

Is Firebase a Good Long Term Solution?

More videos:

Category Popularity

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

Apache Storm

Firebase

Big Data
100 100%
Big Data
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Stream Processing
100 100%
Stream Processing
0% 0
App Development
0 0%
App Development
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 Firebase

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 developerā€™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

Firebase Reviews

10 Top Firebase Alternatives to Ignite Your Development in 2024
It proudly calls itself the ā€œopen-source Firebase alternative,ā€ and for good reason. Supabase gives you the power of a PostgreSQL database, authentication, instant APIs, real-time subscriptions, and more ā€“ all without the vendor lock-in of Firebase.
Source: genezio.com
Top 7 Firebase Alternatives for App Development in 2024
Data Export:Backup Your Data: Begin by creating backups of all your data stored in Firebase. This ensures you have a safe copy in case anything goes wrong during the migration.Export Data: Use Firebase's data export tools to download your datasets. This can often be done through the Firebase console or via Firebase CLI commands.
Source: signoz.io
Best Serverless Backend Tools of 2023: Pros & Cons, Features & Code Examples
Thatā€™s a wrap: 6 best serverless backend for your next project! If you like Firebase, check out Rowy, our Firebase content management system.
Source: www.rowy.io
What is AWS Amplify? - AWS Amplify Alternatives
The Google Firebase feature set includes a wide variety of components, some of which are file storage, application programming interfaces (APIs), cloud hosting, intelligent analytics, and real-time databases.
Source: mindmajix.com
2023 Firebase Alternatives: Top 10 Open-Source & Free
Although Firebase has some limitations, many online web and mobile applications are still running on Firebase. Likewise, BuiltWith confirms that 396,531 live websites on the internet utilize Firebase. Correspondingly, 2953 companies and 32113 developers claim to use Firebase for different tech stacks on StackShare.
Source: digitalcruch.com

Social recommendations and mentions

Based on our record, Firebase seems to be a lot more popular than Apache Storm. While we know about 272 links to Firebase, 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 Twitterā€™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

Firebase mentions (272)

  • Fast, Simple and Open Firebase Alternative: TrailBase
    There is little mention of realtime on the Firebase landing page https://firebase.google.com We likely agree that firebase is superb. But your criticism of using ā€˜alternativeā€™ is unjust both in terms of the breadth of firebase, and why a competitor might target someone about to choose Firebase. - Source: Hacker News / 17 days ago
  • An upgraded dev experience in Google AI Studio
    Presumably Google AI Studio[1] and Google Firebase Studio[2] are made by different teams with very similar pitches, and Google is perfectly happy to have both of them exist, until it isn't: - AI Studio: "the fastest place to start building with the Gemini API" - Firebase Studio: "Prototype, build, deploy, and run full-stack, AI apps quickly" [1] https://aistudio.google.com/apps [2] https://firebase.google.com/. - Source: Hacker News / 21 days ago
  • Firebase Cloud Functions: Your Gateway to Serverless Backend Development
    Firebase provides a suite of tools and services designed to streamline the development process, abstracting away complex infrastructure management. Cloud Functions, a key component of the Firebase ecosystem, empowers developers to write and deploy backend code without the burden of provisioning or managing servers. This allows them to focus solely on writing the application logic, freeing up time and resources for... - Source: dev.to / about 1 month ago
  • Build a Simple Grocery Tracker App using Vue JS and Supabase
    Supabase is an open-source Firebase alternative that provides a full backend out of the box ā€” including a PostgreSQL database, authentication, file storage, and auto-generated APIs. Itā€™s developer-friendly, easy to set up, and integrates smoothly with frontend frameworks like Vue. - Source: dev.to / about 2 months ago
  • Build a Job Application and Interview App with Next.js, Stream & Firebase
    In this tutorial, you will learn how to build a job application and interviewing platform using Next.js, Stream, and Firebase. This app will allow recruiters to post job openings, review applications, and schedule interviews. Job seekers can also apply for jobs and communicate with recruiters. - Source: dev.to / about 2 months ago
View more

What are some alternatives?

When comparing Apache Storm and Firebase, 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.

Supabase - An open source Firebase alternative

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

Android Studio - Android development environment based on IntelliJ IDEA

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

Socket.io - Realtime application framework (Node.JS server)

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