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Apache Spark VS CakePHP

Compare Apache Spark VS CakePHP and see what are their differences

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Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

CakePHP logo CakePHP

The Rapid Development Framework for PHP
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • CakePHP Landing page
    Landing page //
    2023-10-21

Apache Spark features and specs

  • Speed
    Apache Spark processes data in-memory, significantly increasing the processing speed of data tasks compared to traditional disk-based engines.
  • Ease of Use
    Spark offers high-level APIs in Java, Scala, Python, and R, making it accessible to a broad range of developers and data scientists.
  • Advanced Analytics
    Spark supports advanced analytics, including machine learning, graph processing, and real-time streaming, which can be executed in the same application.
  • Scalability
    Spark can handle both small- and large-scale data processing tasks, scaling seamlessly from a single machine to thousands of servers.
  • Support for Various Data Sources
    Spark can integrate with a wide variety of data sources, including HDFS, Apache HBase, Apache Hive, Cassandra, and many others.
  • Active Community
    Spark has a vibrant and active community, providing a wealth of extensions, tools, and support options.

Possible disadvantages of Apache Spark

  • Memory Consumption
    Spark's in-memory processing can be resource-intensive, requiring substantial amounts of RAM, which can drive up costs for large-scale deployments.
  • Complexity in Configuration
    To optimize performance, Spark requires careful configuration and tuning, which can be complex and time-consuming.
  • Learning Curve
    Despite its ease of use, mastering the full range of Spark's features and best practices can take considerable time and effort.
  • Latency for Small Data
    For smaller datasets or low-latency requirements, Spark might not be the most efficient choice, as other technologies could offer better performance.
  • Integration Overhead
    Though Spark integrates with many systems, incorporating it into an existing data infrastructure can introduce additional overhead and complexity.
  • Community Support Variability
    While the community is active, the support and quality of third-party libraries and tools can be inconsistent, leading to potential challenges in implementation.

CakePHP features and specs

  • Structured MVC Framework
    CakePHP follows the Model-View-Controller (MVC) architectural pattern, which provides a clear separation of concerns, making the application more organized and maintainable.
  • Built-in ORM
    CakePHP includes a powerful Object-Relational Mapping (ORM) system which simplifies database interactions and promotes the use of PHP objects instead of writing raw SQL queries.
  • Convention Over Configuration
    CakePHP follows the 'convention over configuration' philosophy, which reduces the need for extensive configuration and allows developers to quickly set up new projects.
  • Security Features
    The framework comes with built-in security features like input validation, SQL injection prevention, and CSRF protection, which help in building safer applications.
  • Active Community
    CakePHP has an active and supportive community, which provides a wealth of plugins, tutorials, and help through forums and other online resources.

Possible disadvantages of CakePHP

  • Learning Curve
    For developers who are new to MVC frameworks or the conventions used by CakePHP, there can be a steep learning curve initially.
  • Performance Overhead
    Due to its extensive features and abstractions, CakePHP can sometimes have a higher performance overhead compared to lightweight frameworks, especially in high-traffic applications.
  • Limited Flexibility
    While conventions can be beneficial, they may also limit flexibility for developers who prefer to structure their projects differently or need to implement custom solutions.
  • Updates and Compatibility
    Major updates to the framework might introduce breaking changes, requiring existing projects to undergo significant modifications to stay up-to-date.

Apache Spark videos

+ Add

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

CakePHP videos

+ Add

CakePHP 3.7 Standards and MySQL Database Review

More videos:

  • Tutorial - CakePHP 3 Tutorial - part 1: Introduction & Installation

Category Popularity

0-100% (relative to Apache Spark and CakePHP)

Apache Spark

CakePHP

Databases
100 100%
Databases
0% 0
Web Frameworks
0 0%
Web Frameworks
100% 100
Big Data
100 100%
Big Data
0% 0
Developer Tools
0 0%
Developer Tools
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 Spark and CakePHP

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Source: searchbusinessanalytics.techtarget.com
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...
Source: www.analyticsinsight.net

CakePHP Reviews

CakePHP vs CodeIgniter: Which PHP Framework is Best for Development?
CakePHP: CakePHP was released in April 2005 by Larry Masters. It is influenced by the concepts of Ruby on Rails and emphasizes convention over configuration, aiming to make web development fast and easy. CakePHP has undergone significant evolution, with the latest versions providing advanced features while maintaining backward compatibility.
Source: blog.radwebhosting.com
Top 5 Laravel Alternatives
CakePHP is less complicated to work with than Laravel. CakePHP’s stated goal is to streamline the processes of developing, deploying, and maintaining Web Apps. The clean MVC layout makes it easy to pick up and use.
Source: www.etatvasoft.com
Top 10 Phoenix Framework Alternatives
CakePHP offers multiple features like code generation and app scaffolding that accelerates production speeds and saves development costs.
Source: blog.back4app.com
The Most Popular PHP Frameworks to Use in 2021
For example, the CakePHP framework has the Bake command-line tool which can quickly create any skeleton code that you need in your application.
Source: kinsta.com
Top 9 PHP Frameworks For Web Development In 2021
CakePHP is an open-source web development PHP framework. It’s ranked 6th in PHP Benchmarks, just above the Laravel web development framework. The newly released v4.0 comes with a renovated skeleton design and provides APIs to enable developers for rapid application development. On GitHub, it has 8.3k+ stars and 555 contributors. For commercial support, you have cakeDC....
Source: www.lambdatest.com

Social recommendations and mentions

Based on our record, Apache Spark should be more popular than CakePHP. It has been mentiond 70 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 Spark mentions (70)

  • 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 / 23 days ago
  • How to Reduce Big Data Analytics Costs by 90% with Karpenter and Spark
    Apache Spark powers large-scale data analytics and machine learning, but as workloads grow exponentially, traditional static resource allocation leads to 30–50% resource waste due to idle Executors and suboptimal instance selection. - Source: dev.to / 25 days ago
  • Unveiling the Apache License 2.0: A Deep Dive into Open Source Freedom
    One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / 2 months ago
  • The Application of Java Programming In Data Analysis and Artificial Intelligence
    [1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Pearson, 2020. [2] F. Chollet, Deep Learning with Python. Manning Publications, 2018. [3] C. C. Aggarwal, Data Mining: The Textbook. Springer, 2015. [4] J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008. [5] Apache Software Foundation, "Apache... - Source: dev.to / 2 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline. - Source: dev.to / 3 months ago
View more

CakePHP mentions (10)

  • How to Use ServBay to Create and Run a CakePHP Project
    CakePHP is an open-source PHP web framework designed to help developers build web applications quickly. It is based on the MVC (Model-View-Controller) architecture and provides a powerful toolkit to simplify common development tasks such as database interactions, form handling, authentication, and session management. - Source: dev.to / 11 months ago
  • Top 12 PHP Frameworks For Web Development in 2024
    CakePHP is an open-source PHP framework for web development with 8.7k stars and 3.5k forks on GitHub. It offers APIs that enable developers to develop applications quickly. It allows you to create highly secure and scalable web applications, including social networks, eCommerce, and online collaboration platforms. - Source: dev.to / over 1 year ago
  • Any suggestions for lighter frameworks than Laravel?
    Give https://cakephp.org/ a try. It also is one of the oldest ones out there, so quite mature and stable while being rather lightweight. Serving JSON API seems like a good fit. Source: over 2 years ago
  • Which PHP Framework Should You Use in 2023?
    You can download it and review the documentation here: https://cakephp.org/. - Source: dev.to / over 2 years ago
  • My Workflow
    As the name of the service says it will work best with Laravel but it is not a problem to modify code from other frameworks to make it work the same way. I have several applications created this way in CakePHP. I have this set to manual after clicking the deploy button, but if you want you can turn on quick deploy and then it will publish the application after a push to the main branch (or another one, depending... - Source: dev.to / over 2 years ago
View more

What are some alternatives?

When comparing Apache Spark and CakePHP, you can also consider the following products

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

Laravel - A PHP Framework For Web Artisans

Hadoop - Open-source software for reliable, scalable, distributed computing

CodeIgniter - A Fully Baked PHP Framework

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

Django - The Web framework for perfectionists with deadlines

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