Software Alternatives, Accelerators & Startups

Databricks VS Violentmonkey

Compare Databricks VS Violentmonkey and see what are their differences

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Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โ€ŽWhat is Apache Spark?

Violentmonkey logo Violentmonkey

Violentmonkey is a userscript manager to support running userscripts in web pages.
  • Databricks Landing page
    Landing page //
    2023-09-14
  • Violentmonkey Landing page
    Landing page //
    2023-10-16

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.

Violentmonkey features and specs

  • Free and Open Source
    Violentmonkey is freely available to use and the source code is open for anyone to inspect, modify, and contribute to. This ensures transparency and community-driven development.
  • Active Development
    The project is actively maintained and updated, which means that bugs are fixed promptly and new features are regularly added.
  • Cross-Browser Support
    Violentmonkey is compatible with multiple browsers including Chrome, Firefox, Microsoft Edge, and Opera, providing flexibility to users regardless of their browser preference.
  • User Script Manager
    It allows users to manage and run custom scripts to enhance web pages, providing extensive customization options for a tailored browsing experience.
  • Easy Backup and Sync
    Features like backup and sync allow users to easily transfer their settings and scripts across different devices, ensuring a consistent experience.

Possible disadvantages of Violentmonkey

  • Learning Curve
    For new users, especially those not familiar with scripting, there might be a learning curve involved in understanding how to write and manage scripts effectively.
  • Security Risks
    As with any tool that runs third-party scripts, there is a potential risk for malicious scripts that can compromise user security and privacy if not properly vetted.
  • Dependency on Community Scripts
    The quality and functionality of Violentmonkey heavily rely on the availability and maintenance of user-submitted scripts, which can vary in quality.
  • Browser Performance Impact
    Running multiple or poorly optimized scripts can affect browser performance by increasing loading times and resource consumption.

Analysis of Violentmonkey

Overall verdict

  • Yes, Violentmonkey is a reliable and efficient userscript manager that caters to the needs of users who want to customize their web browsing experience.

Why this product is good

  • Violentmonkey is considered a good choice for users looking to manage userscripts on their web browsers. It provides a clean and straightforward interface, supports a wide range of script sources, and is compatible with multiple browsers including Chrome, Firefox, and Edge. Moreover, it is open-source, allowing for community contributions and transparency.

Recommended for

  • Tech-savvy users interested in enhancing their web browser functionality through userscripts.
  • Developers who want to test userscripts in a flexible environment.
  • Users looking for an open-source alternative to other popular script managers like Greasemonkey or Tampermonkey.

Databricks videos

Introduction to Databricks

More videos:

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

Violentmonkey videos

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Category Popularity

0-100% (relative to Databricks and Violentmonkey)
Data Dashboard
100 100%
0% 0
Browser Extensions
0 0%
100% 100
Big Data Analytics
100 100%
0% 0
Dark Mode
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 Databricks and Violentmonkey

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.

Violentmonkey Reviews

We have no reviews of Violentmonkey yet.
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Social recommendations and mentions

Based on our record, Violentmonkey should be more popular than Databricks. It has been mentiond 46 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.

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 / almost 2 years ago
  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAIโ€™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: over 3 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 / almost 4 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 / about 4 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 / over 4 years ago
View more

Violentmonkey mentions (46)

  • Show HN: UserScript to manually choose model for ChatGPT website
    - GPT 4o mini, so you can save your 4o calls for more complex queries https://github.com/altbdoor/userscripts/raw/master/force-gpt3.user.js. - Source: Hacker News / about 2 years ago
  • If your Firefox suddenly started to hang or become extremely slow today, check if you have tampermonkey 5.0. Disable it for now as it seems to be the culprit.
    Since Tampermonkey seems to be misbehaving, consider using Violentmonkey. Source: over 2 years ago
  • Current plan for the flag
    Step 1Install violentmonkey (or your favorite user script manager). Source: about 3 years ago
  • Andrej Karpathy โ€“ State of GPT ( At MSBuild 2023)
    Sounds like a good violent monkey [0] script for you do this weekend. :) [0] https://violentmonkey.github.io/. - Source: Hacker News / about 3 years ago
  • Auto expand for reports button in modqueue
    Toolbox is great, but if that is all you really need, here's this! You can copy and paste this as a new script to use in ViolentMonkey [AMO] or whatever script manager you use. Source: over 3 years ago
View more

What are some alternatives?

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

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

Greasemonkey - Customize the way a web page displays or behaves, by using small bits of JavaScript.

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.

Tampermonkey - Greasemonkey compatible script manager.

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

Greasy Fork - A site for user scripts.