Software Alternatives, Accelerators & Startups

Typst VS Databricks

Compare Typst VS Databricks and see what are their differences

Typst logo Typst

Focus on your text and let Typst take care of layout and formatting. Join the wait list so you can be part of the beta phase.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Typst Landing page
    Landing page //
    2023-09-08
  • Databricks Landing page
    Landing page //
    2023-09-14

Typst videos

Typst: The LaTeX alternative in Rust

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 Typst and Databricks)
Document Management
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Text Editors
100 100%
0% 0
Database Tools
0 0%
100% 100

User comments

Share your experience with using Typst and Databricks. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Typst Reviews

We have no reviews of Typst yet.
Be the first one to post

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

Typst might be a bit more popular than Databricks. We know about 18 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.

Typst mentions (18)

  • LaTeX and Neovim for technical note-taking
    I have been using Typst[1] for taking notes on machine learning. It's fast (updates are instantaneous). The syntax is almost like Markdown. I tried to learn LaTeX but Typst seems to have an easier learning curve. [1]: https://typst.app/. - Source: Hacker News / 3 months ago
  • LaTeX and Neovim for technical note-taking
    I'd personally consider using Typst (https://typst.app) instead of LaTeX. It has a much more readable syntax and you don't need as much snippets to write it. You can use in on their website or run the compiler locally just like LaTeX. - Source: Hacker News / 3 months ago
  • I'm able to take notes in mathematics lectures using LaTeX and Vim (2019)
    For writing math notes (especially in vim), I switch to using Typst (https://typst.app). Here's a few points: - The syntax is a lot lighter and easier to type fast. I was up and running in half hour after starting to use it. Once in a while I can look up some symbol name in the docs but that's about it. - Empty document is a valid document. No preambles, no includes etc, it's all optional and the defaults are... - Source: Hacker News / 4 months ago
  • I don't always use LaTeX, but when I do, I compile to HTML (2013)
    Have you seen typst? I have moved over from LaTex to Typst and most if not all your use cases are covered. https://typst.app/. - Source: Hacker News / 4 months ago
  • Htmldocs: Typeset and Generate PDFs with HTML/CSS
    How does this compare to Typst?[1] What I like about Typst is that I can use it completely offline and with my editor of choice. Is this planned for htmldocs too? [1] https://typst.app/. - Source: Hacker News / 5 months ago
View more

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 / almost 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 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
View more

What are some alternatives?

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

Quarto - Open-source scientific and technical publishing system built on Pandoc.

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

Obsidian.md - A second brain, for you, forever. Obsidian is a powerful knowledge base that works on top of a local folder of plain text Markdown files.

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.

Icons8 - Free app for Mac & Windows already containing 39,800 icons. Allows to search and import icons…

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.