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Databricks VS Dillinger

Compare Databricks VS Dillinger 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.‎What is Apache Spark?

Dillinger logo Dillinger

joemccann has 95 repositories available. Follow their code on GitHub.
  • Databricks Landing page
    Landing page //
    2023-09-14
  • Dillinger Landing page
    Landing page //
    2023-09-22

Databricks videos

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Introduction to Databricks

More videos:

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

Dillinger videos

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The Dillinger Escape Plan - Dissociation ALBUM REVIEW

More videos:

  • Review - The Dillinger Escape Plan - One Of Us Is The Killer ALBUM REVIEW
  • Review - DILLINGER ESCAPE PLAN Dissociation Album Review | Overkill Reviews

Category Popularity

0-100% (relative to Databricks and Dillinger)

Databricks

Dillinger

Data Dashboard
100 100%
Data Dashboard
0% 0
Markdown Editor
0 0%
Markdown Editor
100% 100
Database Tools
100 100%
Database Tools
0% 0
Text Editors
0 0%
Text Editors
100% 100

User comments

Share your experience with using Databricks and Dillinger. 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 Databricks and Dillinger

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

Dillinger Reviews

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

Dillinger might be a bit more popular than Databricks. We know about 23 links to it since March 2021 and only 17 links to Databricks. 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 (17)

  • 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 1 year 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 1 year 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 2 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 2 years ago
  • data science workspace/notebook solution thoughts?
    I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
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Dillinger mentions (23)

  • Building a simple but scalable blog using Astro
    I have used Markdown before (https://dillinger.io/) so wouldn't have a problem with using it again as long as on page SEO isn't any extra effort. I am not sure how I would use Markdown and then add the content to the blog to be deployed and if that is going to be much harder than a headless CMS, I would go for the headless. Source: 6 months ago
  • Getting Started with Git and GitHub: A simple roadmap
    Useful rescources for this are: Markdown Cheatsheet and Markdown Editor. - Source: dev.to / 11 months ago
  • Created using chatgpt
    -put chatgpt output into dillinger.io and save as markdown file. Source: about 1 year ago
  • Trying to Prompt/Agent to deliver formatted code as a response.
    Did you try pasting the response in a Markdown editor and check if it's working? Here's one online - https://dillinger.io/. Source: about 1 year ago
  • Markdown processor that supports list numbering higher of any depth in solely-`0.` lists?
    Which works at https://dillinger.io/, but not https://insiders.vscode.dev. Source: about 1 year ago
View more

What are some alternatives?

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

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

Typora - A minimal Markdown reading & writing app.

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.

StackEdit - Full-featured, open-source Markdown editor based on PageDown, the Markdown library used by Stack Overflow and the other Stack Exchange sites.

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.

Markdown by DaringFireball - Text-to-HTML conversion tool/syntax for web writers, by John Gruber

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