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Apache Flink VS Firebase

Compare Apache Flink VS Firebase and see what are their differences

Apache Flink logo Apache Flink

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

Firebase logo Firebase

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

Apache Flink videos

GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • Tutorial - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • Tutorial - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

Firebase videos

Is Firebase a Good Long Term Solution?

More videos:

Category Popularity

0-100% (relative to Apache Flink and Firebase)
Big Data
100 100%
0% 0
Developer Tools
3 3%
97% 97
Stream Processing
100 100%
0% 0
App Development
0 0%
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 Flink and Firebase

Apache Flink Reviews

We have no reviews of Apache Flink yet.
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Firebase Reviews

Best Serverless Backend Tools of 2023: Pros & Cons, Features & Code Examples
That’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.
THE BEST 34 APP DEVELOPMENT SOFTWARE IN 2022 LIST
With Google’s Firebase, you can build apps fast, without managing infrastructure. Firebase gives you functionality like analytics, databases, messaging and crash reporting so you can move quickly and focus on your users. Firebase is built on Google infrastructure and scales automatically, for even the largest apps. Firebase offers great integrations with Google Ads, Admob,...
Convex vs. Firebase
"Firebase" actually refers to two separate products: Firebase Realtime Database and Cloud Firestore. This discussion focuses on Cloud Firestore because it's the newer, more scalable Firebase offering.
Source: docs.convex.dev

Social recommendations and mentions

Based on our record, Firebase should be more popular than Apache Flink. It has been mentiond 248 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.

Apache Flink mentions (28)

  • Show HN: An SQS Alternative on Postgres
    You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / 6 days ago
  • Top 10 Common Data Engineers and Scientists Pain Points in 2024
    Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / about 1 month ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
View more

Firebase mentions (248)

  • How to Add Firebase Authentication To Your NodeJS App
    Head over to Firebase Developer Console homepage, sign in using your Gmail address, and click the Go to Console button to navigate to the console's overview page. - Source: dev.to / 14 days ago
  • How I migrated from Firebase to Supabase
    I didn't really give much thought as to which backend I would use. I already had 2 projects in Supabase (BOXCUT & MineWork), but also a few projects in Firebase too. I was more concerned at the time at actually building the product. - Source: dev.to / 16 days ago
  • Mastering Firebase: A Comprehensive Guide to CRUD Operations
    Firebase, a well-known backend platform, is widely utilized for building Serverless or Headless web and mobile applications. This discussion will delve into executing comprehensive CRUD (Create, Read, Update, Delete) operations within Firebase. CRUD operations serve as fundamental building blocks for both web and mobile applications. To initiate this process, create a new project in the Firebase Console.... - Source: dev.to / 2 months ago
  • What is really an API? Examples, Code + History
    For example, you can rely on the powerful OAuth by Okta to handle your Auth services, Flutterwave payment gateway to accept payment, and Google Firebase Messaging to manage notifications. - Source: dev.to / 2 months ago
  • The 2024 Web Hosting Report
    Backend as a Service (BaaS) goes back to early 2010’s with companies like Parse and Firebase. These products integrated everything a backend provides to a webapp in a single, integrated package that makes it easier to get started and enables you to offload some of the devops maintenance work to someone else. - Source: dev.to / 3 months ago
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What are some alternatives?

When comparing Apache Flink 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

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Android Studio - Android development environment based on IntelliJ IDEA

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

OneSignal - Customer engagement platform used by over 1 million developers and marketers; the fastest and most reliable way to send mobile and web push notifications, in-app messages, emails, and SMS.