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Kakoune VS Databricks

Compare Kakoune VS Databricks and see what are their differences

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Contents:
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  3. » Reviews
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Kakoune logo Kakoune

Vim inspired — Faster as in less keystrokes — Multiple selections — Orthogonal design

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Kakoune Landing page
    Landing page //
    2023-10-13
  • Databricks Landing page
    Landing page //
    2023-09-14

Kakoune features and specs

  • Modal Editing
    Kakoune uses a modal editing style similar to Vim, which can be more efficient for experienced users who prefer to keep their hands on the keyboard.
  • Interactive and Asynchronous
    Kakoune is designed to be both interactive and asynchronous, providing immediate feedback for commands which can enhance the editing experience.
  • Selections
    Kakoune treats text editing as a multiple selections-oriented operation, enabling powerful, simultaneous edits across multiple text locations, which can speed up complex text manipulations.
  • Simplicity in Configuration
    Kakoune’s configuration files are written in a simple, declarative syntax, making it easier for users to customize their setup without extensive scripting.
  • Performance
    Kakoune is designed with performance in mind, resulting in a lightweight and fast editor even with large files.
  • Extensible Plugin System
    Kakoune supports various plugins and has a community-driven set of extensions, allowing users to extend functionality as needed.
  • Language Support
    Built-in support for syntax highlighting and other language-specific features for many programming languages.

Possible disadvantages of Kakoune

  • Learning Curve
    Kakoune has a steep learning curve, especially for users not familiar with modal editing or coming from different types of text editors.
  • Plugin Ecosystem
    While Kakoune has an extensible plugin system, its plugin ecosystem is not as mature or extensive as more established editors like Vim or Emacs.
  • Limited GUI Support
    Kakoune primarily operates in the terminal, with limited graphical user interface support, which might be a drawback for users who prefer more visual editing environments.
  • Smaller User Base
    Kakoune has a smaller user base compared to more mainstream editors, potentially resulting in fewer community resources, tutorials, and third-party tool integrations.
  • Reliance on Command Line
    Heavy reliance on command-line operations can be intimidating or cumbersome for users who are not comfortable with the terminal.
  • Limited IDE Features
    Kakoune lacks some of the advanced integrated development environment (IDE) features out-of-the-box, such as integrated debugging or project management tools.

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.

Kakoune videos

+ Add

Kakoune Is A More Efficient Text Editor

Databricks videos

+ Add

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 Kakoune and Databricks)

Kakoune

Databricks

Text Editors
100 100%
Text Editors
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
IDE
100 100%
IDE
0% 0
Big Data Analytics
0 0%
Big Data Analytics
100% 100

User comments

Share your experience with using Kakoune and Databricks. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Kakoune and Databricks

Kakoune Reviews

We have no reviews of Kakoune yet.
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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...
Source: www.shipyardapp.com
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.
Source: blog.bismart.com

Social recommendations and mentions

Based on our record, Databricks should be more popular than Kakoune. It has been mentiond 18 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.

Kakoune mentions (10)

  • Show HN: Ki Editor
    Fascinating idea! To summarize for those who know [Kakoune](https://github.com/mawww/kakoune), the idea is that every command has the form ["selection mode" -> "movement" -> "action"](https://ki-editor.github.io/ki-editor/comparisons/modal-editors.html) instead of Kakoune's movement->action. So, instead of having separate commands for "next character", "next word", "next structural element", there is one command... - Source: Hacker News / 9 months ago
  • Helix: Release 24.03 Highlights
    Helix's modal editing is based on Kakoune's modal editing which is like an evolution to Vim's modal editing. You can think of it as being always in selection (visual) mode. https://github.com/mawww/kakoune?tab=readme-ov-file#selectio.... - Source: Hacker News / about 1 year ago
  • I don't need your query language
    You might like kakoune (https://github.com/mawww/kakoune), which does exactly that: first you select the range (which can even be disjoint, e.g. All words matching a regex), then you operate on it. By default, the selected range is the character under cursor, and multiple cursors work out of the box. It also generally follows the Unix philosophy, e.g. By using shell... - Source: Hacker News / almost 2 years ago
  • I use nano BTW.
    It might be worth checking out kakoune if you are experimenting with editors. It’s supposed to be equally powerful to vim but much easier to learn. Source: over 2 years ago
  • Mle is a small, flexible, terminal-based text editor written in C
    For that, try Kakoune[1], which is modal with a mostly-postfix language instead of vi's usually-prefix one and uses this to also be a multiple-selections editor with immediate visual feedback. It falls too much into the uncanny valley of almost-but-not-quite-vi for some people, though. [1] https://kakoune.org/, https://github.com/mawww/kakoune. - Source: Hacker News / over 2 years ago
View more

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 / almost 3 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 Kakoune and Databricks, you can also consider the following products

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

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

Light Table - Light Table is a new interactive IDE that lets you modify running programs and embed anything from...

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.

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

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.

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