Software Alternatives, Accelerators & Startups

MacPorts VS Google BigQuery

Compare MacPorts VS Google BigQuery and see what are their differences

MacPorts logo MacPorts

The MacPorts Project is an open-source community initiative to design an easy-to-use system for compiling, installing, and upgrading either command-line, X11 or Aqua based open-source software on the Mac OS X operating system.

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • MacPorts Landing page
    Landing page //
    2021-09-29
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

MacPorts videos

Linux Tools for your Mac. Package Management. HomeBrew, MacPorts, Fink

More videos:

  • Review - Install and Testing MacPorts on an M1 Mac
  • Review - Installing MacPorts on macOS Catalina

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 MacPorts and Google BigQuery)
Front End Package Manager
Data Dashboard
0 0%
100% 100
Package Manager
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

Share your experience with using MacPorts and Google BigQuery. 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 MacPorts and Google BigQuery

MacPorts Reviews

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

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, Google BigQuery should be more popular than MacPorts. It has been mentiond 35 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.

MacPorts mentions (5)

  • Need help with running OpenBSD on VirtualBox
    Brew & macports have libvirt & virt-manager that are used to manage qemu via GUI. Source: over 1 year ago
  • Brew Is a Bad Neighbor
    Or instead of all this, try MacPorts[0], which in my experience has 99% of what you need. The biggest drawbacks are less support from quite niche packages (the ones that sets up its own homebrew tap), and a bit slower updates. But then I found it bearable much more than homebrew’s downsides. [0]: https://macports.org. - Source: Hacker News / almost 2 years ago
  • How to prevent WireGuard from starting up (menubar) on MacOS?
    You can install wireguard-go and wireguard-tools (or boringtun, which is Cloudflare's userspace implementation) using either MacPorts or Brew. Source: almost 2 years ago
  • Newbie Problem with MacOS Terminal Stuff
    That being said, I'm going to assume that you're working on MacO. Flatpaks aren't going to be an option, that's only going to work if you're using Linux (like Fedora, Ubuntu, Gentoo, Arch, Mint, and so on). If you need to install HandBrake, you may want to consider using macports.org, or brew.sh, these are projects that provide additional libraries and packages for MacOS, this way you can install additional... Source: about 2 years ago
  • Top 10 trending github repos of the week🚽.
    On macOS you can also install the latest release with MacPorts:. - Source: dev.to / over 2 years ago

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

What are some alternatives?

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

Homebrew - The missing package manager for macOS

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

Homebrew Cask - Install with ease. Your software is just one command away from being ready and raring to go. Forget all about babysitting the install process step by step, from website to cleanup. ls /usr/local/Caskroom google-chrome .

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.

pkgsrc - pkgsrc is a framework for building over 17,000 open source software packages.

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.