Software Alternatives, Accelerators & Startups

Google BigQuery VS Homebrew

Compare Google BigQuery VS Homebrew and see what are their differences

Google BigQuery logo Google BigQuery

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

Homebrew logo Homebrew

The missing package manager for macOS
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Homebrew Landing page
    Landing page //
    2023-03-29

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

Homebrew videos

Homebrew Review: Coopers Lager - Taste Test

More videos:

  • Review - Homebrew Review | Alchemist Class by Mage Hand Press (featuring Designer Mike Holik)
  • Review - Northern Brewer Cream Ale Homebrew Review Tasting

Category Popularity

0-100% (relative to Google BigQuery and Homebrew)
Data Dashboard
100 100%
0% 0
Front End Package Manager
Big Data
100 100%
0% 0
Windows Tools
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 Google BigQuery and Homebrew

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.

Homebrew Reviews

Top Homebrew Alternative: ServBay Becomes the Go-To for Developers
Homebrew is a highly popular package manager on macOS and Linux systems, enabling users to easily install, update, and uninstall command-line tools and applications. Its design philosophy focuses on simplifying the software installation process on macOS, eliminating the need for manual downloads and compilations of software packages.
Source: medium.com

Social recommendations and mentions

Based on our record, Homebrew seems to be a lot more popular than Google BigQuery. While we know about 888 links to Homebrew, we've tracked only 35 mentions of Google BigQuery. 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.

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: about 1 year 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: about 1 year ago
View more

Homebrew mentions (888)

  • Next.js 14: App with OpenAI API Integration
    Node.js and npm: These are essential for building Next.js and React applications. You can download Node.js from the official website or use a package manager like Homebrew. - Source: dev.to / 7 days ago
  • Add album art to music files via the command line
    The below was all run on a mac. Command line tools where installed using brew . I suggest making a backup of your files before running any scripts against them. - Source: dev.to / 11 days ago
  • How I configured YubiKey to sign and decrypt emails on Mac
    We need some software on Mac to make this work. The process should be similar on Linux. Assuming you have brew installed, we will install the following packages:. - Source: dev.to / 14 days ago
  • Mike McQuaid on 15 years of Homebrew
    This week we’re talking to Mike McQuaid, project leader and longest tenured maintainer of Homebrew, a package manager for macOS and Linux used by tens of millions of developers worldwide. After ten years at GitHub, Mike is now CTO of Workbrew, a startup for managing a fleet of machines running Homebrew. Mike spoke with us from Edinburgh, Scotland. - Source: dev.to / 14 days ago
  • Ask HN: What macOS apps/programs do you use daily and recommend?
    - Raycast (https://www.raycast.com/) there's also a free version, I just prefer to support the author with a Pro purchase. - Homebrew (https://brew.sh/) - Visual Studio Code - SyncThing (https://syncthing.net/) - Fantastical (https://flexibits.com/fantastical) - MonitorControl (https://github.com/MonitorControl/MonitorControl#readme). - Source: Hacker News / 23 days ago
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What are some alternatives?

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

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

Chocolatey - The sane way to manage software on Windows.

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.

iTerm2 - A terminal emulator for macOS that does amazing things.

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.

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