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Notepad++ VS Apache Spark

Compare Notepad++ VS Apache Spark and see what are their differences

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  3. » Reviews
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Notepad++ logo Notepad++

A free source code editor which supports several programming languages running under the MS Windows environment.

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.
  • Notepad++ Landing page
    Landing page //
    2021-10-07
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Notepad++ features and specs

  • Free and Open Source
    Notepad++ is completely free to download and use, and its source code is open for anyone to review, modify, and contribute to.
  • Lightweight and Fast
    Notepad++ is lightweight, meaning it uses fewer system resources compared to more complex IDEs, allowing for quick loading times and responsiveness.
  • Syntax Highlighting
    Supports syntax highlighting for over 80 programming languages, making it easier to read and write code.
  • Plugin Support
    Offers a wide range of plugins to extend its functionality, including customization options, code analyzers, and more.
  • Tabbed Interface
    Allows multiple documents to be opened in the same window through a tabbed interface, which greatly improves productivity.
  • Regular Updates
    Frequently receives updates and patches, improving its features and fixing bugs.

Possible disadvantages of Notepad++

  • Limited Advanced Features
    Lacks some of the advanced features and integrations of full-fledged IDEs, which might be necessary for professional software development.
  • Windows Only
    Natively available only on Windows, although it can be run on other systems using compatibility layers like Wine, which might affect performance.
  • Manual Plugin Management
    Managing plugins can be cumbersome, as users often need to download and install them manually.
  • Occasional Stability Issues
    Although generally stable, users sometimes encounter crashes or bugs, particularly when using many plugins.

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.

Notepad++ videos

+ Add

Notepad++ Review

More videos:

  • Review - Notepad++ Review
  • Review - Notepad++ Text Editor: Intro for Beginners

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

Category Popularity

0-100% (relative to Notepad++ and Apache Spark)

Notepad++

Apache Spark

Text Editors
100 100%
Text Editors
0% 0
Databases
0 0%
Databases
100% 100
IDE
100 100%
IDE
0% 0
Big Data
0 0%
Big Data
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 Notepad++ and Apache Spark

Notepad++ Reviews

  1. andreew
    the best assistant at work

    I've been using it for a long time, I can say that it has become my main tool in my work. First, you need to get used to using it and look at all the functionality. Overall, it's useful for me!

Boost Your Productivity with These Top Text Editors and IDEs
Notepad++ provides a tabbed interface, allowing you to work on multiple files simultaneously. Its intuitive user interface makes it easy to navigate and edit your code efficiently. With features like syntax highlighting, code folding, and auto-completion, Notepad++ helps you write clean and error-free code.
Source: convesio.com
13 Best Text Editors to Speed up Your Workflow
If you’re a beginner who needs a text editor, Notepad++ is far easier to understand than some of the other options on this list. Not only that, but you’ll enjoy the ability to locate words and replace them all, while also revealing certain bits of code with highlighting. As for advanced users, Notepad++ also does the trick, with its syntax highlighting for HTML, PHP, and...
Source: kinsta.com
Top 10 Free CSV Readers in 2023!
Notepad++: A popular text editor for Windows that has a CSV plugin for viewing and editing CSV files.
Source: www.retable.io
Top 10 Notepad++ Alternatives for Mac in 2022
First, you can get a better version of Notepad++ Mac. For instance, Setapp caters to your own Notepad++ Mac. You can also Notepad++ Mac using an emulator. Typically, the emulator is a form of creating a layer of compatibility where you can run the Notepad++ Mac on your operating system. Another thing you can do t enjoy Notepad++ Mac is by using Wine. This can help you have e...
Source: www.imymac.com
The Top 7 Notepad++ Alternatives for You
I have provided you with mainly free Notepad++ alternatives here. This is not that surprising because Notepad++ is free also. When choosing a Notepad++ alternative you need to consider what you are going to use it for and your level of programming experience.
Source: www.technize.com

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

Social recommendations and mentions

Based on our record, Notepad++ should be more popular than Apache Spark. It has been mentiond 175 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.

Notepad++ mentions (175)

  • How to Run Windows Applications on Linux Using Bottles: A Step-by-Step Guide
    Are you transitioning from Windows to Linux but struggling to replace tools like Notepad++ or WinMerge? Thanks to Wine and Bottles, you can now run Windows-only applications natively on Linux. This guide will show you how to install Windows apps on Linux effortlessly, perfect for .NET developers or anyone needing Windows tools in a Linux environment. - Source: dev.to / about 2 months ago
  • Currency converter in Rust + WebAssembly
    Then we need to modify Cargo.toml file located in your folder that you created with the above command, right click and edit I use notepad++ (to download notepad++ use this link (https://notepad-plus-plus.org/) so you will get the option to edit file directly. - Source: dev.to / 6 months ago
  • What I learned from my NodeJS course (part 1)
    Always working in the js-fundamentals.js file Open the file with any text editor. For now, use Notepad++. - Source: dev.to / 6 months ago
  • 6 free Markdown (.md) WYSIWYG desktop Editors – Part3
    Where to get it: Https://notepad-plus-plus.org/ Plugin: inside Plugin Admin. - Source: dev.to / 6 months ago
  • Hack WKHTMLTOPDF PDF to enable Adobe Acrobat Field Editing
    This issue was a difficult to research, but I did find a complaint on GitHub. The problem is due to the fact that an "interactive" flag is missing, but I don't believe that this is even a feature within WKHTMLTOPDF (apart from the --enable-forms option). WK also generates a 1.4 versioned PDF. Is the interactive option even available in v1.4 PDFs? The hack to make PDFs compatible with Adobe Acrobat required... - Source: dev.to / 7 months ago
View more

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 / 25 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 / 27 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

What are some alternatives?

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

Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.

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

VS Code - Build and debug modern web and cloud applications, by Microsoft

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

Vim - Highly configurable text editor built to enable efficient text editing

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

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