Software Alternatives, Accelerators & Startups

Apache Flink VS Backbone.js

Compare Apache Flink VS Backbone.js and see what are their differences

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Apache Flink logo Apache Flink

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

Backbone.js logo Backbone.js

Give your JS App some Backbone with Models, Views, Collections, and Events
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • Backbone.js Landing page
    Landing page //
    2018-09-30

Apache Flink features and specs

  • Real-time Stream Processing
    Apache Flink is designed for real-time data streaming, offering low-latency processing capabilities that are essential for applications requiring immediate data insights.
  • Event Time Processing
    Flink supports event time processing, which allows it to handle out-of-order events effectively and provide accurate results based on the time events actually occurred rather than when they were processed.
  • State Management
    Flink provides robust state management features, making it easier to maintain and query state across distributed nodes, which is crucial for managing long-running applications.
  • Fault Tolerance
    The framework includes built-in mechanisms for fault tolerance, such as consistent checkpoints and savepoints, ensuring high reliability and data consistency even in the case of failures.
  • Scalability
    Apache Flink is highly scalable, capable of handling both batch and stream processing workloads across a distributed cluster, making it suitable for large-scale data processing tasks.
  • Rich Ecosystem
    Flink has a rich set of APIs and integrations with other big data tools, such as Apache Kafka, Apache Hadoop, and Apache Cassandra, enhancing its versatility and ease of integration into existing data pipelines.

Possible disadvantages of Apache Flink

  • Complexity
    Flink’s advanced features and capabilities come with a steep learning curve, making it more challenging to set up and use compared to simpler stream processing frameworks.
  • Resource Intensive
    The framework can be resource-intensive, requiring substantial memory and CPU resources for optimal performance, which might be a concern for smaller setups or cost-sensitive environments.
  • Community Support
    While growing, the community around Apache Flink is not as large or mature as some other big data frameworks like Apache Spark, potentially limiting the availability of community-contributed resources and support.
  • Ecosystem Maturity
    Despite its integrations, the Flink ecosystem is still maturing, and certain tools and plugins may not be as developed or stable as those available for more established frameworks.
  • Operational Overhead
    Running and maintaining a Flink cluster can involve significant operational overhead, including monitoring, scaling, and troubleshooting, which might require a dedicated team or additional expertise.

Backbone.js features and specs

  • Lightweight
    Backbone.js is minimal and lightweight, which means it has a small footprint and adds very little overhead to your project.
  • Flexibility
    Backbone.js provides a flexible structure to developers by allowing them to build their own MVC or MVP architectures using models, views, collections, and routers.
  • Ease of Integration
    Backbone.js can be easily integrated with other libraries and frameworks, such as jQuery or underscore.js, enhancing its capabilities without much difficulty.
  • Large Community
    Backbone.js has been around for a long time, resulting in a large community and a plethora of plugins and extensions that can be leveraged.
  • Detailed Documentation
    The official site offers comprehensive documentation which includes tutorials, examples, and a detailed API reference, aiding developers to understand and utilize the library efficiently.

Possible disadvantages of Backbone.js

  • Steeper Learning Curve
    New developers might find Backbone.js difficult to learn due to its non-opinionated nature and lack of enforced structure.
  • Sparse In-Built Features
    Backbone.js provides only the basic building blocks, requiring developers to write more boilerplate code or rely on external libraries for additional functionalities.
  • Outdated
    As newer frameworks and libraries (like React, Vue, and Angular) have emerged with more robust features and better performance, Backbone.js has somewhat fallen out of favor in modern development practices.
  • Event Binding Complexity
    Managing event bindings in Backbone.js can become complex and sometimes messy in large applications, which can lead to difficult maintenance and debugging.
  • Limited Two-Way Data Binding
    Backbone.js does not provide two-way data binding out-of-the-box, unlike other frameworks such as Angular, necessitating additional code to sync views and models.

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

Backbone.js videos

Introduction to Backbone.js

More videos:

  • Review - Introduction to Backbone.js
  • Review - Backbone.js Code Review w Backbone.js Mentor Jonathon

Category Popularity

0-100% (relative to Apache Flink and Backbone.js)
Big Data
100 100%
0% 0
JavaScript Framework
0 0%
100% 100
Stream Processing
100 100%
0% 0
Javascript UI Libraries
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 Backbone.js

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Backbone.js Reviews

20 Next.js Alternatives Worth Considering
A veteran on the scene, Backbone.js is all about giving structure to your JavaScript-heavy applications. It’s standing the test of time, enabling you to keep your data logic and display logic neatly side by side, all while being lightweight.
9 Best JavaScript Frameworks to Use in 2023
Backbone.js is based on the Model View Controller (MVC) design pattern. The library supports seven components: Models, Views, Collections, Routers, Events, Sync, and Options. Backbone.js also provides an asynchronous communication layer that allows the application to communicate with a backend service.
Source: ninetailed.io
JavaScript: What Are The Most Used Frameworks For This Language?
Backbone.JS is a lightweight JavaScript library that provides a framework for developing structured and scalable web applications. It offers a set of tools for building client-side applications that interact with RESTful APIs. Backbone.JS is well-suited for developing single-page applications (SPAs) where most of the user interface is rendered in the browser, rather than...
Source: www.bocasay.com
20 Best JavaScript Frameworks For 2023
Backbone.js is a JavaScript-based framework that connects to an API via a RESTful JSON interface. Backbone.js is known for being small and light because it only requires jQuery and one JavaScript library, Underscore.js, to use the entire library.
Top JavaScript Frameworks For Mobile App Development
Backbone JS is a JavaScript framework based on the MVP app design. As the name suggests, it acts as a strong backbone to your project. It is lightweight in nature and hence, is considered ideal for developing single-page applications. It offers a simplistic frontend and makes the best use of JavaScript functions.
Source: medium.com

Social recommendations and mentions

Based on our record, Apache Flink should be more popular than Backbone.js. It has been mentiond 41 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 (41)

  • What is Apache Flink? Exploring Its Open Source Business Model, Funding, and Community
    Continuous Learning: Leverage online tutorials from the official Flink website and attend webinars for deeper insights. - Source: dev.to / 10 days ago
  • Is RisingWave the Next Apache Flink?
    Apache Flink, known initially as Stratosphere, is a distributed stream processing engine initiated by a group of researchers at TU Berlin. Since its initial release in May 2011, Flink has gained immense popularity in both academia and industry. And it is currently the most well-known streaming system globally (challenge me if you think I got it wrong!). - Source: dev.to / 24 days ago
  • Every Database Will Support Iceberg — Here's Why
    Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / 28 days ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    The last decade saw the rise of open-source frameworks like Apache Flink, Spark Streaming, and Apache Samza. These offered more flexibility but still demanded significant engineering muscle to run effectively at scale. Companies using them often needed specialized stream processing engineers just to manage internal state, tune performance, and handle the day-to-day operational challenges. The barrier to entry... - Source: dev.to / about 1 month ago
  • Twitter's 600-Tweet Daily Limit Crisis: Soaring GCP Costs and the Open Source Fix Elon Musk Ignored
    Apache Flink: Flink is a unified streaming and batching platform developed under the Apache Foundation. It provides support for Java API and a SQL interface. Flink boasts a large ecosystem and can seamlessly integrate with various services, including Kafka, Pulsar, HDFS, Iceberg, Hudi, and other systems. - Source: dev.to / about 1 month ago
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Backbone.js mentions (17)

  • JavaScript Views, the Hard Way – A Pattern for Writing UI
    Https://backbonejs.org/#View There is also a github repo that has examples of MVC patterns adapted to the web platform. - Source: Hacker News / about 1 month ago
  • JavaScript evolution: From Lodash and Underscore to vanilla
    Underscore was created by Jeremy Ashkenas (the creator of Backbone.js) in 2009 to provide a set of utility functions that JavaScript lacked at the time. It was also created to work with Backbone.js, but it slowly became a favorite among developers who needed utility functions that they could just call and get stuff done with without having to worry about the inner implementations and browser compatibility. - Source: dev.to / 5 months ago
  • React is 10 years old
    Got it thanks for the context. I've read the web app and it seems to me it is just https://backbonejs.org/ re-written in Typescript and allows JSX. I'm very certain Typescript and JSX will have improved the DX for Backbone like apps, but it doesn't address all of the other issues that teams had with Backbone. e.g. Cyclical event propagation, state stored in the DOM (i.e. Appendchild is error prone in large code... - Source: Hacker News / almost 2 years ago
  • Just Simply – Stop saying how simple things are in our docs
    Even further nowadays, docs are created using Docusaurus. I don't have problem with it but documentation should be good (eye) friendly than easy to write. Why not be creative while writing docs such as - Backbone.js - https://backbonejs.org Or https://backbonejs.org/docs/backbone.html as code annotation. - Source: Hacker News / about 2 years ago
  • The Emperor's New Library
    What we see, a decade ago, are that many of the "popular" libraries, frameworks, and methods, not surprisingly, have gone by the wayside, a lot that have remained in current code as difficult-to-removemodernize legacy cruft (Bower, Gulp, Grunt, Backbone, Angular 1, ...), and then we have the small minority that are still here. Some that remain have had their utility lessened/questioned by platform and language... - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing Apache Flink and Backbone.js, 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.

AngularJS - AngularJS lets you extend HTML vocabulary for your application. The resulting environment is extraordinarily expressive, readable, and quick to develop.

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

ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple

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

ember.js - A JavaScript framework for creating ambitious web apps