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CUBA.platform VS Apache Jena

Compare CUBA.platform VS Apache Jena and see what are their differences

CUBA.platform logo CUBA.platform

A Full Stack Enterprise Java Framework with lots of out of the box functionality and amazing...

Apache Jena logo Apache Jena

Java Web Frameworks
  • CUBA.platform Landing page
    Landing page //
    2023-07-26
  • Apache Jena Landing page
    Landing page //
    2023-05-15

CUBA.platform features and specs

  • Rapid Development
    CUBA.platform is designed to accelerate the development process by providing high-level abstractions and out-of-the-box functionality, which reduces boilerplate code and development time.
  • Strong Security Features
    The platform includes robust security mechanisms, such as declarative role-based access control at both UI and entity levels, ensuring secure application architecture.
  • Rich Set of Tools
    CUBA Studio offers an integrated development environment that simplifies project setup, provides visual designers for the UI, and supports database management, making it easier for developers to work efficiently.
  • Flexibility and Extensibility
    Although it comes with a lot of features pre-built, CUBA.platform allows developers to extend and customize the framework to meet specific project requirements.
  • Strong Community and Support
    The platform has an active community and professional support options, providing valuable resources and assistance for developers.
  • Data-centric Approach
    It is particularly good for applications that are data-centric as it allows easy mapping of data models to the user interface with minimal effort.

Possible disadvantages of CUBA.platform

  • Learning Curve
    Because of its unique architecture and feature set, new users might experience a steep learning curve, especially if they are not familiar with full-stack Java development.
  • Limited Language Support
    Primarily designed for use with Java, which may not be suitable for teams looking to work with other programming languages.
  • Dependency on CUBA Studio
    While beneficial, the reliance on CUBA Studio means there could be limitations when integrating with other IDEs or development environments not specifically supported by the platform.
  • Cost for Enterprise Features
    While it offers many free features, some advanced enterprise functionalities require a paid subscription, which might be a consideration for budget-constrained projects.
  • Less Mainstream
    Compared to more popular frameworks, CUBA.platform has a smaller ecosystem, which may result in fewer third-party resources, libraries, or plugins available to developers.
  • Complexity for Small Projects
    For smaller applications with simple requirements, the depth and breadth of features offered by CUBA.platform might be overkill and lead to unnecessary complexity.

Apache Jena features and specs

  • Rich Semantics Support
    Apache Jena provides comprehensive support for RDF, RDFS, and OWL, which allows for complex semantics and reasoning capabilities, making it ideal for applications requiring rich semantic processing.
  • Flexible and Scalable
    Jena is designed to be modular and offers flexibility in its architecture, allowing developers to use only the components they need. It also scales well for both small and large datasets.
  • Strong Query Capabilities
    With SPARQL support, Jena offers robust query capabilities for extracting and manipulating data stored in RDF format, allowing for precise data management and retrieval.
  • Integration and Extensibility
    Jena integrates well with other tools and technologies, such as Fuseki, for deploying SPARQL endpoints, and its plugin architecture allows for easy extension of its capabilities.
  • Active Community and Documentation
    Supported by a strong open-source community, Jena benefits from extensive documentation, online resources, and community support, helping ease the learning curve and troubleshooting process.

Possible disadvantages of Apache Jena

  • Steep Learning Curve
    The complexity of semantic web technologies and Jena's rich feature set can present a steep learning curve for beginners, requiring a significant investment in time to become proficient.
  • Performance Overhead
    Operating with RDF and especially OWL can result in performance overheads in terms of processing time and memory usage, particularly when reasoning over large datasets.
  • Java Dependency
    As a Java-based framework, Jena inherits any limitations associated with Java, such as memory management and the need to be run in Java environments, which might not be suitable for all projects.
  • Less Suitability for Non-Semantic Use Cases
    Jena is specifically geared towards semantic web applications and may not offer significant advantages for projects that do not require semantic web technologies.
  • Complex Deployment
    Setting up and configuring Jena components, especially in complex environments, can be challenging and might require a fair amount of expertise to ensure optimal deployment and operation.

Analysis of CUBA.platform

Overall verdict

  • Overall, CUBA Platform is considered a strong contender for developing enterprise-level applications, especially those that require complex business logic and data management. Its ease of use and powerful tooling make it a solid choice for teams looking to accelerate their development process.

Why this product is good

  • CUBA Platform is widely regarded as a good choice for developing enterprise applications due to its comprehensive set of features, including a robust framework for creating complex business applications. It offers a high level of abstraction, which simplifies the development process, saving time for developers. The platform provides built-in support for various features like user management, data access, and responsive interfaces. Additionally, it has a supportive community and extensive documentation, which can be particularly beneficial for developers looking to quickly get up to speed or troubleshoot issues.

Recommended for

    CUBA Platform is recommended for businesses and developers who are building enterprise-tier applications that demand robust data handling, custom workflows, and extensive user interfaces. It is especially suited for developers who prefer working with a framework that provides strong out-of-the-box solutions for common application needs and who appreciate a strong community and accessible resources to back them up.

CUBA.platform videos

CUBA Platform Introduction

Apache Jena videos

Apache Jena

More videos:

  • Review - apache jena installation
  • Review - Семантический веб. Protégé и Apache Jena

Category Popularity

0-100% (relative to CUBA.platform and Apache Jena)
Developer Tools
54 54%
46% 46
Web Frameworks
45 45%
55% 55
Software Development
100 100%
0% 0
JavaScript Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apache Jena seems to be more popular. It has been mentiond 5 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.

CUBA.platform mentions (0)

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

Apache Jena mentions (5)

  • Does any useful knowledge graph tool that you recommend?
    Another good one I just started working with is AnzoGraph. Also, a product but (at least according to a colleague, I'm just starting to use it myself) you can also do quite a bit of serious work with the community version. Also, GraphDB from OntoText and TBD from Apache Jena as well. Source: almost 3 years ago
  • Generating websites with SPARQL and Snowman, part 1
    Completely agree. I'm hoping to one day see Jena [0] compiled to a native image [1]. Having a persistent triple store with transactions, and an inference api in owl/rdfs/shacl with a prolog-like "logic programming engine", running in process like SQLite, would be awesome. [0] https://jena.apache.org/ [1] https://www.graalvm.org/22.0/reference-manual/native-image/. - Source: Hacker News / about 3 years ago
  • Deployement in semantic web
    The first thing you need to decide is how to link your ontology with a programming language. Speaking very broadly there are 2 approaches: 1) Use a library like Apache Jena (for Java) or OWLReady2 (for Python). What these libraries do is enable you to take your model and create objects in your Java or Python program to manipulate it (query it, create instances of classes, set property values, etc.). Source: over 3 years ago
  • Choice between cybersecurity and Semantic Web course
    The semantic web is more than just front end. Apache jena is an example of a semantic web library. Source: almost 4 years ago
  • Ask HN: What under-the-radar technology are you super excited about?
    I worked in a semweb company ~10 years ago - https://jena.apache.org/ as a general starting point is a useful library. I remember distinctly OWLIM https://www.w3.org/2001/sw/wiki/Owlim as a great triple store. - Source: Hacker News / about 4 years ago

What are some alternatives?

When comparing CUBA.platform and Apache Jena, you can also consider the following products

OpenXava - OpenXava is a Web Java Framework for Rapid Development of Enterprise Applications.

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

Spark Mail - Spark helps you take your inbox under control. Instantly see what’s important and quickly clean up the rest. Spark for Teams allows you to create, discuss, and share email with your colleagues

Grails - An Open Source, full stack, web application framework for the JVM

jHipster - JHipster is a development platform to quickly generate, develop, & deploy modern web applications & microservice architectures.

Apache Struts - Apache Struts is an open-source web application framework for developing Java EE web applications.