Software Alternatives, Accelerators & Startups

Gab VS Google BigQuery

Compare Gab VS Google BigQuery and see what are their differences

Gab logo Gab

Gab is an ad-free social network dedicated to free speech.

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • Gab Landing page
    Landing page //
    2023-04-22
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

Gab videos

The Meltdown of Gab - Hypocrisy Overload

More videos:

  • Review - Gab Review
  • Review - Conservative social network Gab shut down

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 Gab and Google BigQuery)
Social Network
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Social Networks
100 100%
0% 0
Big Data
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 Gab and Google BigQuery

Gab Reviews

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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 Gab. It has been mentiond 36 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.

Gab mentions (4)

  • Inflection-2.5: meet the best personal AI
    If you want uncensored.. https://gab.ai. - Source: Hacker News / 4 months ago
  • This dude made an alternative Reddit on a blockchain. Crazy
    I don't understand how you can stop spam yet not have the structures in place to censor forbidden views or opinions. Without admin moderation you get 50 million flavours of porn (like old Usenet servers) some of which will be illegal porn, a massive slice of QAnon and conspiracy (like Odyssee and gab.ai), information and propaganda useful to terrorists (like the old totse.com) and dark web drug markets. Source: over 2 years ago
  • Bring back Internet comment sections!
    This already exists in the "Dissenter browser" made by the folks over at gab.ai. This could work as a third party extension, but direct support from Brave would instantly draw controversy as it's perceived that the only reason Dissenter exists is to support toxic radical right wingers. Source: over 2 years ago
  • I agree with them, but I can see liberals hate for the second season in this post
    I feel that there is still space for a platform for content creators which is away from any restrictions. I was talking to a lawyer friend of mine about drafting a user agreement which makes it impossible for anyone to sue any content creator or the platform, or for any government or group to force removal of content. but in the end we figured that we would need a back to back agreement with our service... Source: about 3 years ago

Google BigQuery mentions (36)

  • Next.js Deployment: Vercel's Charm vs. GCP's Muscle
    GCP offers a comprehensive suite of cloud services, including Compute Engine, App Engine, and Cloud Run. This translates to unparalleled control over your infrastructure and deployment configurations. Designed for large-scale applications, GCP effortlessly scales to accommodate significant traffic growth. Additionally, for projects heavily reliant on Google services like BigQuery, Cloud Storage, or AI/ML tools,... - Source: dev.to / 4 days ago
  • 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
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What are some alternatives?

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

Mastodon - Mastodon is a decentralized, open source social network. This is just one part of the network, run by the main developers of the project It is not focused on any particular niche interest - everyone is welcome!

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

X (Twitter) - Connect with your friends and other fascinating people. Get in-the-moment updates on the things that interest you. And watch events unfold, in real time, from every angle.

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.

Friendica - Decentralisation - Privacy - Interoperability

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.