Software Alternatives, Accelerators & Startups

Netbeans VS Databricks

Compare Netbeans VS Databricks and see what are their differences

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Netbeans logo Netbeans

NetBeans IDE 7.0. Develop desktop, mobile and web applications with Java, PHP, C/C++ and more. Runs on Windows, Linux, Mac OS X and Solaris. NetBeans IDE is open-source and free.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Netbeans Landing page
    Landing page //
    2022-07-13
  • Databricks Landing page
    Landing page //
    2023-09-14

Netbeans features and specs

  • Open Source
    NetBeans is an open-source Integrated Development Environment (IDE), which means it is free to use and has a large community for support and contributions.
  • Modular Architecture
    Its modular architecture allows users to add or remove features easily, which provides flexibility to customize the IDE as per the developer's requirements.
  • Multi-Language Support
    NetBeans supports multiple programming languages such as Java, PHP, HTML5, JavaScript, and more, making it a versatile tool for developers working in different technologies.
  • Strong Java Support
    Originally developed for Java, it provides excellent support for Java development, including Maven and Ant integration, robust debugging tools, and pre-configured templates.
  • User-Friendly Interface
    The IDE boasts an intuitive and user-friendly interface, which helps improve development speed and reduces the learning curve for new users.
  • Rich Set of Features
    NetBeans offers many built-in features like code templates, project management tools, version control integration, and support for various application servers.
  • Cross-Platform Compatibility
    NetBeans can run on various operating systems, including Windows, macOS, and Linux, therefore accommodating a diverse range of development environments.

Possible disadvantages of Netbeans

  • Performance Issues
    Some users experience lagging and slow performance, particularly when dealing with large projects or running on lower-end hardware.
  • Resource Intensive
    NetBeans can be resource-intensive, requiring significant memory and processing power, which may be a limitation for some developers, especially those on older machines.
  • Plugin Ecosystem
    While NetBeans has a good set of built-in features, its plugin ecosystem is not as extensive or actively maintained as some other IDEs like IntelliJ IDEA or Visual Studio Code.
  • Steeper Learning Curve for Non-Java Languages
    Although NetBeans supports multiple languages, the learning curve can be steeper when using it for non-Java languages compared to other IDEs that may offer better out-of-the-box support.
  • Updates and Community
    Since transitioning to Apache, the frequency of updates and the overall maintenance has seen slowdowns, which might affect the availability of the latest features and bug fixes.
  • UI Responsiveness
    Some users have reported that the UI can sometimes become unresponsive, especially during heavy development tasks or when multiple extensions are enabled.

Databricks features and specs

  • Unified Data Analytics Platform
    Databricks integrates various data processing and analytics tools, offering a unified environment for data engineering, machine learning, and business analytics. This integration can streamline workflows and reduce the complexity of data management.
  • Scalability
    Databricks leverages Apache Spark and other scalable technologies to handle large datasets and high computational workloads efficiently. This makes it suitable for enterprises with significant data processing needs.
  • Collaborative Environment
    The platform offers collaborative notebooks that allow data scientists, engineers, and analysts to work together in real-time. This enhances productivity and fosters better communication within teams.
  • Performance Optimization
    Databricks includes various performance optimization features such as caching, indexing, and query optimization, which can significantly speed up data processing tasks.
  • Support for Various Data Formats
    The platform supports a wide range of data formats and sources, including structured, semi-structured, and unstructured data, making it versatile and adaptable to different use cases.
  • Integration with Cloud Providers
    Databricks is designed to work seamlessly with major cloud providers like AWS, Azure, and Google Cloud, allowing users to easily integrate it into their existing cloud infrastructure.

Possible disadvantages of Databricks

  • Cost
    Databricks can be expensive, especially for large-scale deployments or high-frequency usage. It may not be the most cost-effective solution for smaller organizations or projects with limited budgets.
  • Complexity
    While powerful, Databricks can be complex to set up and manage, requiring specialized knowledge in Apache Spark and cloud infrastructure. This might lead to a steeper learning curve for new users.
  • Dependency on Cloud Providers
    Being heavily integrated with cloud providers, Databricks might face issues like vendor lock-in, where switching providers becomes difficult or costly.
  • Limited Offline Capabilities
    Databricks is primarily designed for cloud environments, which means offline or on-premise capabilities are limited, posing challenges for organizations with strict data governance policies.
  • Resource Management
    Efficiently managing and allocating resources can be challenging in Databricks, especially in large multi-user environments. Mismanagement of resources could lead to increased costs and reduced performance.

Netbeans videos

A Review of the NetBeans Project from Geertjan Wielenga

More videos:

  • Tutorial - How to Install & Beautify NetBeans IDE for PHP on Windows

Databricks videos

Introduction to Databricks

More videos:

  • Tutorial - Azure Databricks Tutorial | Data transformations at scale
  • Review - Databricks - Data Movement and Query

Category Popularity

0-100% (relative to Netbeans and Databricks)
Text Editors
100 100%
0% 0
Data Dashboard
0 0%
100% 100
IDE
100 100%
0% 0
Big Data Analytics
0 0%
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 Netbeans and Databricks

Netbeans Reviews

The Best IDEs for Java Development: A Comparative Analysis
User Satisfaction: With a user rating of 4.1 out of 5 and user satisfaction of 82%, NetBeans offers a solid development experience.
Source: dev.to
9 Of The Best Android Studio Alternatives To Try Out
NetBeans IDE helps you build HTML5 applications, web applications, Java desktop applications, and mobile applications. If you are a PHP or C++ developer, it offers you great tools. NetBeans IDE has a large number of developers and users all across the globe.
What's The Best C++ IDE? Our Top C++ IDEs & Editors In 2024
Rounding out my list at number ten is NetBeans, a free and open-source integrated development environment. While often thought of as Java IDE, NetBeans also offers robust support for C++ and is favored by developers seeking a comprehensive toolset for larger and more complex projects.
Source: hackr.io
Top 10 Visual Studio Alternatives
NetBeans is another code editor and an alternative to Visual Studio Microsoft. It is regarded as an integrated development environment for Java. Here, the users can develop applications. The development of the applications is from a set of integrated software components that are named modules. NetBeans are operative on Windows, macOS, Linux, and Solaris.
Best Eclipse Alternatives to Use
NetBeans IDE is a free Java Integrated Development Environment (IDE) that enables developers to create, run, debug, and deploy Java applications on all platforms at no cost. The rest of the code is available under the NetBeans Common Public License.
Source: eclipsewin.com

Databricks Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and built-in data visualizations.
Source: lakefs.io
7 best Colab alternatives in 2023
Databricks is a platform built around Apache Spark, an open-source, distributed computing system. The Databricks Community Edition offers a collaborative workspace where users can create Jupyter notebooks. Although it doesn't offer free GPU resources, it's an excellent tool for distributed data processing and big data analytics.
Source: deepnote.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Databricks is a simple, fast, and collaborative analytics platform based on Apache Spark with ETL capabilities. It accelerates innovation by bringing together data science and data science businesses. It is a fully managed open-source version of Apache Spark analytics with optimized connectors to storage platforms for the fastest data access.
Source: visual-flow.com
Top Big Data Tools For 2021
Now Azure Databricks achieves 50 times better performance thanks to a highly optimized version of Spark. Databricks also enables real-time co-authoring and automates versioning. Besides, it features runtimes optimized for machine learning that include many popular libraries, such as PyTorch, TensorFlow, Keras, etc.

Social recommendations and mentions

Databricks might be a bit more popular than Netbeans. We know about 18 links to it since March 2021 and only 17 links to Netbeans. 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.

Netbeans mentions (17)

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Databricks mentions (18)

  • Platform Engineering Abstraction: How to Scale IaC for Enterprise
    Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / 8 months ago
  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 2 years ago
  • Clickstream data analysis with Databricks and Redpanda
    Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / over 2 years ago
  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / almost 3 years ago
  • A Quick Start to Databricks on AWS
    Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 3 years ago
View more

What are some alternatives?

When comparing Netbeans and Databricks, you can also consider the following products

Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

IntelliJ IDEA - Capable and Ergonomic IDE for JVM

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.