Software Alternatives, Accelerators & Startups

Google BigQuery VS Babel

Compare Google BigQuery VS Babel and see what are their differences

Google BigQuery logo Google BigQuery

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

Babel logo Babel

Babel is a compiler for writing next generation JavaScript.
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Babel Landing page
    Landing page //
    2023-04-02

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

Babel videos

Babel - Movie Review

More videos:

  • Review - Day 16 | Babel Review | 365 Films
  • Review - Worth The Hype? - BABEL Review
  • Review - Book CommuniTEA: Is BABEL a rac1st mani!fest0? [you should know the answer]
  • Review - Babel is a Masterpiece, And Here's Why

Category Popularity

0-100% (relative to Google BigQuery and Babel)
Data Dashboard
100 100%
0% 0
Development Tools
0 0%
100% 100
Big Data
100 100%
0% 0
Javascript UI Libraries
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 Babel

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.

Babel Reviews

We have no reviews of Babel yet.
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Social recommendations and mentions

Based on our record, Babel should be more popular than Google BigQuery. It has been mentiond 134 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.

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 / 9 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 / 9 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 / 10 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: 11 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: 11 months ago
View more

Babel mentions (134)

  • How, and why, you should add JavaScript linting to your project. With ESLint and Gulp
    Some of the most popular JavaScript linting tools are ESLint, JSHint, JSLint and JSCS. We're going to be using ESLint. It’s very flexible, easy to use and has the best ES6 support, which will be helpful if we introduce more modern JavaScript (that will be transpiled for older browsers using https://babeljs.io/). All rules for ESLint can be found here: https://eslint.org/docs/rules/. - Source: dev.to / 3 months ago
  • What is Server Side Rendering (SSR) and Static Site Generation (SSG)?
    This simply extends the existing build process that many front-end frameworks have. After Babel's done with its transpilation, it merely executes code to compile your initial screen into static HTML and CSS. This isn't entirely dissimilar from how SSR hydrates your initial screen, but it's done at compile-time, not at request time. - Source: dev.to / 3 months ago
  • Storybook 8 Beta
    First, we switched the default compiler for new projects from Babel to SWC (Speedy Web Compiler). SWC is dramatically faster than Babel and requires zero configuration. We’ll continue to support Babel in any project currently using it. - Source: dev.to / 4 months ago
  • Nuxt vs Next: Which JavaScript Framework Suits Your Next Project?
    Nuxt.js is an open-source JavaScript framework built on Vue.js, Node.js, Vite, and Babel.js used for creating fast, cutting-edge applications. Nuxt.js possesses similar features to Next.js, with the major difference being the web framework it is compatible with. Next.js is a React framework whereas Nuxt.js is a Vue framework. - Source: dev.to / 6 months ago
  • Abstract Syntax Trees and Practical Applications in JavaScript
    Disclaimer: If you've already developed Babel or ESLint plugins, this article may not be as beneficial for you, as you're likely already familiar with the majority of the content covered here. - Source: dev.to / 8 months ago
View more

What are some alternatives?

When comparing Google BigQuery and Babel, 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?

jQuery - The Write Less, Do More, JavaScript Library.

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.

React Native - A framework for building native apps with React

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.

Composer - Composer is a tool for dependency management in PHP.