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Org mode VS Google BigQuery

Compare Org mode VS Google BigQuery and see what are their differences

Org mode logo Org mode

Org: an Emacs Mode for Notes, Planning, and Authoring

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • Org mode Landing page
    Landing page //
    2022-04-15
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

Org mode videos

org mode is awesome

More videos:

  • Review - 2018-11-14: Building a Second Brain in Org Mode - Tasshin Michael Fogleman

Google BigQuery videos

Cloud Dataprep Tutorial - Getting Started 101

More videos:

  • Review - Advanced Data Cleanup Techniques using Cloud Dataprep (Cloud Next '19)
  • Demo - Google Cloud Dataprep Premium product demo

Category Popularity

0-100% (relative to Org mode and Google BigQuery)
Task Management
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Project Management
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

Share your experience with using Org mode and Google BigQuery. 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 Org mode and Google BigQuery

Org mode Reviews

Ask HN: Favorite note-taking software?
Before going full Org Mode, I used MS OneNote, and liked it very much. My notes from that period has tons of images and annotated screenshots dumped into them. I miss that in my Emacs workflow nowadays. My dream software would be pieces of Org Mode on a OneNote-like canvas, with support for easily pasting images and drawing on them (especially using a graphics tablet, or at...

Google BigQuery Reviews

Top 6 Cloud Data Warehouses in 2023
You can also use BigQuery’s columnar and ANSI SQL databases to analyze petabytes of data at a fast speed. Its capabilities extend enough to accommodate spatial analysis using SQL and BigQuery GIS. Also, you can quickly create and run machine learning (ML) models on semi or large-scale structured data using simple SQL and BigQuery ML. Also, enjoy a real-time interactive...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Google BigQuery is an incredible platform for enterprises that want to run complex analytical queries or “heavy” queries that operate using a large set of data. This means it’s not ideal for running queries that are doing simple filtering or aggregation. So if your cloud data warehousing needs lightning-fast performance on a big set of data, Google BigQuery might be a great...
Top 5 BigQuery Alternatives: A Challenge of Complexity
BigQuery's emergence as an attractive analytics and data warehouse platform was a significant win, helping to drive a 45% increase in Google Cloud revenue in the last quarter. The company plans to maintain this momentum by focusing on a multi-cloud future where BigQuery advances the cause of democratized analytics.
Source: blog.panoply.io
16 Top Big Data Analytics Tools You Should Know About
Google BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities.

Social recommendations and mentions

Based on our record, Org mode should be more popular than Google BigQuery. It has been mentiond 174 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.

Org mode mentions (174)

  • Ask HN: Has Anyone Trained a personal LLM using their personal notes?
    - or to visualize and use it as a personal partner. There's already a ton of open-source UIs such as Chatbot-ui[3] and Reor[4]. And that's just the tip of the iceberg. Personally, I haven't been consistent enough through the years in note-taking. So, I'm really curious to learn more about those of you who were and implemented such pipelines. I'm sure there's a ton of really fascinating experiences. [1]... - Source: Hacker News / 3 months ago
  • My productivity app is a never-ending .txt file
    Obligatory reference to Emacs Org-Mode [1]. Author's approach is basically Org-Mode with fewer helpers. Org-mode's power is that, at core, it's just a text file, with gradual augmentation. Then again, Org-Mode is a tool you must install, accessible through a limited list of clients (Emacs obviously, but also VSCode), and the power of OP's approach is that it requires no external tools. [1] https://orgmode.org. - Source: Hacker News / 4 months ago
  • Show HN: Heynote – A Dedicated Scratchpad for Developers
    This reminds me a lot of [Org Mode](https://orgmode.org/). Do you have plans to add other org-like features, like evaluating code blocks? I don't personally see myself moving away from org-mode, but it would be nice to have something to recommend to people who are reluctant to use emacs, even if it's only for a single application. - Source: Hacker News / 6 months ago
  • How to combine daily journal with general database of people, places, things, etc.
    If you want to spare a couple of detours, you probably could start with Emacs Org-mode according to Greenspun's eleventh rule: "Any sufficiently complicated PIM or note-taking program contains an ad hoc, informally specified, bug-ridden, slow implementation of half of Org mode.". Source: 6 months ago
  • Ask HN: Local Wysiwyg HTML Editor for Mac
    Wow, no one has recommended Org mode (https://orgmode.org). I started using Emacs nearly 20 years ago specifically because of Org. I use Org for all my static sites, note taking, to-do lists and calendar. Org has a lightweight markup language that has far more features than Markdown (e.g., plain text spreadsheets!), but the markup isn't visible to the extent that Markdown is in most editors. Emacs with Org files... - Source: Hacker News / 8 months ago
View more

Google BigQuery mentions (35)

  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
    Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 10 months ago
  • Modern data stack: scaling people and technology at FINN
    Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 10 months ago
  • Running Transformations on BigQuery using dbt Cloud: step by step
    Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 11 months ago
  • Do I need a cloud computing–based data cloud company
    You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 12 months ago
  • I used ChatGPT to get an Internship
    Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 12 months ago
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What are some alternatives?

When comparing Org mode and Google BigQuery, you can also consider the following products

Todoist - Todoist is a to-do list that helps you get organized, at work and in life.

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

Workflowy - A better way to organize your mind.

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.

Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.

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.