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Spark Framework VS gevent

Compare Spark Framework VS gevent and see what are their differences

Spark Framework logo Spark Framework

Spark Framework is a simple and lightweight Java web framework built for rapid development.

gevent logo gevent

gevent is a coroutine -based Python networking library that uses greenlet to provide a high-level...
  • Spark Framework Landing page
    Landing page //
    2019-11-24
  • gevent Landing page
    Landing page //
    2019-04-18

Spark Framework features and specs

  • Ease of Use
    Spark Framework provides a simple and intuitive API, making it easy to set up and run a web application with minimal configuration.
  • Lightweight
    Spark is very lightweight, which makes it well-suited for small applications and microservices where resource consumption is a concern.
  • Java 8 Lambda Support
    It supports Java 8 lambdas, allowing developers to write clean, readable, and more concise code.
  • Rapid Development
    The framework facilitates rapid development and prototyping, enabling developers to quickly build and iterate on ideas.
  • Minimal Configuration
    With less boilerplate code required, Spark allows developers to focus on business logic rather than intricate configurations.

Possible disadvantages of Spark Framework

  • Limited Ecosystem
    Compared to more established frameworks, Spark has a smaller ecosystem of plugins and extensions, which might limit functionality for larger projects.
  • Performance Overhead
    While suitable for small applications, the simplicity of Spark might introduce performance overhead when scaling up to larger, complex applications.
  • Concurrency Limitations
    Its concurrency model may not be robust enough for high-concurrency applications, potentially leading to scalability issues.
  • Less Community Support
    Spark's smaller user base means that community support and resources such as tutorials and forums are more limited compared to larger frameworks.
  • Basic Feature Set
    The framework offers a basic feature set, which may require additional coding or third-party libraries to achieve advanced functionalities.

gevent features and specs

  • Concurrency
    Gevent allows you to handle concurrent tasks efficiently by using greenlets, which are lightweight pseudo-threads that can be scheduled and executed by the gevent scheduler. This leads to better resource utilization compared to traditional threads.
  • Low Latency
    Because gevent is based on a non-blocking I/O model, it provides low latency when handling I/O-bound tasks, making it ideal for network applications that require responsive performance.
  • Ease of Use
    Gevent is easy to integrate into Python applications due to its simple API that mimics the standard library in many ways, allowing developers to write asynchronous code more naturally.
  • Efficient Networking
    Gevent is particularly optimized for network I/O operations, making it highly suitable for applications like chat servers, web servers, and other real-time network services.
  • Scalability
    By using greenlets, gevent can manage a large number of tasks concurrently without the overhead associated with threading, enabling better scalability for high-demand applications.

Possible disadvantages of gevent

  • Blocking Code Issues
    Gevent requires code to be cooperative with its non-blocking event loop. Blocking operations can interrupt the event loop, leading to performance issues if not handled properly.
  • Compatibility
    Not all Python libraries are compatible with gevent, especially those that perform blocking I/O operations. This might necessitate finding alternative libraries or making modifications to achieve compatibility.
  • Debugging Complexity
    Debugging asynchronous applications can be more complex compared to synchronous ones. Identifying issues related to task scheduling and concurrency can be challenging in gevent.
  • CPU-bound Limitations
    Gevent is not ideal for CPU-bound tasks, as Python's Global Interpreter Lock (GIL) can become a bottleneck. In such cases, multi-processing or other forms of parallelism may be more appropriate.
  • Learning Curve
    While gevent's API is user-friendly, developers need to be familiar with asynchronous programming concepts and understand how to write cooperative, non-blocking code, which can be a learning curve for those who are new to it.

Spark Framework videos

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gevent videos

gevent (Lightning Talk)

More videos:

  • Review - Gevent
  • Review - Quick tips gevent|python|bignners

Category Popularity

0-100% (relative to Spark Framework and gevent)
Web Frameworks
100 100%
0% 0
Web And Application Servers
Developer Tools
79 79%
21% 21
Python Web Framework
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Spark Framework and gevent

Spark Framework Reviews

17 Popular Java Frameworks for 2023: Pros, cons, and more
You can get the Spark Framework up and running in just a few minutes. By default, it runs on the Jetty web server that is embedded into the framework. However, you can use it with other Java web servers as well. According to Sparkโ€™s own survey, more than 50% of their users used the framework to create REST APIs, which is its most popular use case. Spark also powers...
Source: raygun.com

gevent Reviews

We have no reviews of gevent yet.
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Social recommendations and mentions

Based on our record, Spark Framework seems to be more popular. It has been mentiond 29 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.

Spark Framework mentions (29)

  • Indexing All of Wikipedia on a Laptop
    The code for serving queries is found in the WebSearch class. Weโ€™re using Spark (the web framework, not the big data engine) to serve a simple search form:. - Source: dev.to / about 2 years ago
  • [ Servlet + JSP + JDBC ]
    Get a solid grasp of building web applications with Java either using Spring (using Spring Boot) or Spark (if you're also new to Java learning Java and Spring can be a mouthful). Instead of JSP use something Thymeleaf or build the frontend with HTML and JavaScript (and serve the bundles). Source: over 2 years ago
  • What's the language of the startup?
    So most of the "tech" stack goes out. In our first startup we created our own web-container by using https://sparkjava.com - and then built a JSR-223 scripting support. Source: over 2 years ago
  • What side-projects did you work on during your university years?
    Stack: Java, Spark (not the Apache Spark but this), Kafka, several other libraries like FasterXML's Jackson. Source: about 3 years ago
  • Full Time
    The blog is just hugo so it's 100% static files over nginx. The search engine is serverside-rendered mustache templates via handlebars[1], via served via spark[2]. It's basically all vanilla Java. I do raw SQL queries instead of ORM, which makes it quite a bit snappier than most Java applications. The sheer size of the database also mandates that basically every query is a primary key lookup. The code is written... - Source: Hacker News / about 3 years ago
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gevent mentions (0)

We have not tracked any mentions of gevent yet. Tracking of gevent recommendations started around Mar 2021.

What are some alternatives?

When comparing Spark Framework and gevent, you can also consider the following products

Javalin - Simple REST APIs for Java and Kotlin

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

Sinatra - Classy web-development dressed in a DSL

WebSocket-Node - A WebSocket Implementation for Node.JS ( Draft -08 through the final RFC 6455 )

vert.x - From Wikipedia, the free encyclopedia

eventlet - Eventlet is a concurrent networking library for Python that allows you to change how you run your...