Software Alternatives, Accelerators & Startups

Google BigQuery VS Inferno

Compare Google BigQuery VS Inferno and see what are their differences

Google BigQuery logo Google BigQuery

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

Inferno logo Inferno

An extremely fast React-like javascript library for building modern user interfaces.
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Inferno Landing page
    Landing page //
    2023-05-11

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

Inferno videos

Inferno - Movie Review

More videos:

  • Review - Inferno - Movie Review
  • Review - Inferno - Official Movie Review

Category Popularity

0-100% (relative to Google BigQuery and Inferno)
Data Dashboard
100 100%
0% 0
Javascript UI Libraries
0 0%
100% 100
Big Data
100 100%
0% 0
JavaScript Framework
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 Inferno

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.

Inferno Reviews

The Best JavaScript Frameworks You’re Not Using
There isn’t an overall number we can use to gauge performance on the chart above, but smaller numbers are better. Obviously, Inferno performs very well again. If you’re a React developer and have a project that requires excellent performance, Inferno is definitely something you should consider. We’ll finish with this from the Inferno “About” page:
Source: jsreport.io

Social recommendations and mentions

Based on our record, Google BigQuery seems to be a lot more popular than Inferno. While we know about 35 links to Google BigQuery, we've tracked only 2 mentions of Inferno. 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

Inferno mentions (2)

  • Solid vs React - the Fastest VS the Most Popular UI Library
    Some might argue that React’s relatively poor performance (it’s still plenty-fast for many apps) is due to Virtual DOM and prioritization of development experience, i.e., clarity over complexity. To counter the first argument - there’s React-like Inferno. For the second one - there’s Solid. - Source: dev.to / almost 3 years ago
  • A Look at Compilation in JavaScript Frameworks
    A VDOM library like Inferno uses this information to compile its JSX directly into pre-optimized node structures. Marko, and Vue hoist their static VDOM nodes outside of their components so that they don't incur the overhead of recreating them on every render. - Source: dev.to / about 3 years ago

What are some alternatives?

When comparing Google BigQuery and Inferno, 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?

Preact.js - Preact is a fast 3kB alternative to React with the same modern API. Components & Virtual DOM.

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.

Vue.js - Reactive Components for Modern Web Interfaces

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.

Svelte - Cybernetically enhanced web apps