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Spark Framework VS Entity Framework

Compare Spark Framework VS Entity Framework 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.

Entity Framework logo Entity Framework

See Comparison of Entity Framework vs NHibernate.
  • Spark Framework Landing page
    Landing page //
    2019-11-24
  • Entity Framework Landing page
    Landing page //
    2023-08-18

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.

Entity Framework features and specs

  • Productivity
    Entity Framework automates database-related code generation, reducing the amount of boilerplate code developers must write and maintain. This allows developers to work more efficiently and focus more on business logic.
  • Abstraction
    It abstracts the database interaction details, enabling developers to work with higher-level .NET objects instead of raw SQL queries, resulting in clearer and more manageable code.
  • Code First Approach
    This allows developers to define their database schema using C# classes, making it easy to evolve the database alongside the codebase using migrations.
  • Support for Multiple Databases
    Entity Framework supports a wide range of relational databases, including SQL Server, PostgreSQL, SQLite, and MySQL, providing flexibility and choice to the developers.
  • Change Tracking
    It provides automatic change tracking of entity objects, simplifying the process of updating data in the database without manually tracking object changes.

Possible disadvantages of Entity Framework

  • Performance Overhead
    The abstraction layer can lead to performance overhead compared to plain SQL queries, as the generated queries might not be as optimized as handcrafted SQL.
  • Complexity
    For simple or small applications, the complexity introduced by using an ORM like Entity Framework might be unnecessary and could complicate the architecture.
  • Learning Curve
    Developers need to learn the specific concepts and configurations of Entity Framework, which can be time-consuming compared to traditional database access methodologies.
  • Debugging Difficulty
    Debugging issues can be more challenging because of the abstraction, making it sometimes difficult to trace the exact query being executed and pinpoint performance bottlenecks.
  • Limited SQL Features
    While Entity Framework supports a wide range of SQL functionalities, there are advanced features specific to certain databases that may not be fully supported or could require custom implementation.

Spark Framework videos

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Entity Framework videos

Entity Framework Best Practices - Should EFCore Be Your Data Access of Choice?

More videos:

  • Tutorial - Entity Framework 6 Tutorial: Learn Entity Framework 6 from Scratch
  • Review - Getting the best out of Entity Framework Core - Jon P Smith

Category Popularity

0-100% (relative to Spark Framework and Entity Framework)
Web Frameworks
49 49%
51% 51
Developer Tools
100 100%
0% 0
Development
0 0%
100% 100
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 Entity Framework

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 Spark’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

Entity Framework Reviews

We have no reviews of Entity Framework yet.
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Social recommendations and mentions

Based on our record, Spark Framework should be more popular than Entity Framework. 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. We’re using Spark (the web framework, not the big data engine) to serve a simple search form:. - Source: dev.to / 11 months 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 1 year 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 1 year 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: almost 2 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 / almost 2 years ago
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Entity Framework mentions (15)

  • Create a Simple .NET Workflow App From Scratch – Your Ultimate Guide
    For the simplicity we will use MSSQLProvider to fetch the data from the database. This class has basic functionality, if you want to create complex database queries, for example JOIN, you'd better use something like Entity Framework. - Source: dev.to / 12 months ago
  • Entity Framework Core in .NET 7 7️⃣
    I only wanted to give a simple preview of what can be done with Entity Framework, but if this is something that interests you and you want to go further in-depth with all the possibilities, I recommend checking out the official docs where you can also find a great tutorial which will guide you through building your very own .NET Core web application. - Source: dev.to / almost 2 years ago
  • Got an internship, need help with .NET
    Entity Framework documentation hub - Entity Framework is a modern object-relation mapper that lets you build a clean, portable, and high-level data access layer with .NET (C#) across a variety of databases, including SQL Database (on-premises and Azure), SQLite, MySQL, PostgreSQL, and Azure Cosmos DB. It supports LINQ queries, change tracking, updates, and schema migrations. Source: almost 2 years ago
  • How to create a "Database Project" that can be used across multiple .NET apps?
    You can create the DAL using your existing code or start using a Object Relational Mapper like Entity Framework which will do a lot of the work for you, check this out here: https://learn.microsoft.com/en-us/ef/ also check out LINQ. Source: about 2 years ago
  • Website with Database. use C#
    And, possibly (not strictly speaking necessary but very useful) Entity framework as a backend part of it. Source: about 2 years ago
View more

What are some alternatives?

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

Javalin - Simple REST APIs for Java and Kotlin

Sequelize - Provides access to a MySQL database by mapping database entries to objects and vice-versa.

vert.x - From Wikipedia, the free encyclopedia

Hibernate - Hibernate an open source Java persistence framework project.

Micronaut Framework - Build modular easily testable microservice & serverless apps

MyBATIS - MyBatis is a top-rated SQL-based data mapping solution used by Programmers, Software Engineers, and Database Architects for developing object-oriented software applications.