Software Alternatives, Accelerators & Startups

Google BigQuery VS Azure DevOps

Compare Google BigQuery VS Azure DevOps and see what are their differences

Google BigQuery logo Google BigQuery

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

Azure DevOps logo Azure DevOps

Visual Studio dev tools & services make app development easy for any platform & language. Try our Mac & Windows code editor, IDE, or Azure DevOps for free.
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Azure DevOps Landing page
    Landing page //
    2024-05-21

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

Azure DevOps videos

Introduction to Azure DevOps

More videos:

  • Review - Agile with Visual Studio Team Services
  • Review - The Top 5 BEST VSTs of 2018
  • Review - Visual Studio Team Services vs Team Foundation Server
  • Review - Should You Buy Purity VST still ? "Top 5 BEST VSTs of 2020"
  • Review - Azure DevOps Project, is it Worth it?
  • Review - Pull Requests in Azure DevOps
  • Review - Git with Visual Studio Team Services

Category Popularity

0-100% (relative to Google BigQuery and Azure DevOps)
Data Dashboard
100 100%
0% 0
Project Management
0 0%
100% 100
Big Data
100 100%
0% 0
Git
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 Azure DevOps

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.

Azure DevOps Reviews

Top 7 GitHub Alternatives You Should Know (2024)
Azure DevOps is a cloud-based platform from Microsoft that offers a suite of tools and features for the entire software development lifecycle.
Source: snappify.com
Top 10 Most Popular Jenkins Alternatives for DevOps in 2024
Azure Pipelines tightly integrates with GitHub to display pipeline statuses in your PRs, run jobs automatically in response to repository events, and automatically deploy your projects. The solution is also extensible with custom tasks and integrations, making it a good fit for teams that need to retain Jenkins’ customization capabilities but want a managed service that’s...
Source: spacelift.io

Social recommendations and mentions

Based on our record, Azure DevOps should be more popular than Google BigQuery. It has been mentiond 94 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 / 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 / 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: 12 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: 12 months ago
View more

Azure DevOps mentions (94)

  • The State of .NET Tooling 2024
    So like, I remember. Like Visual Studio or Visual Studio .NET. They both used to be super expensive, but at one point there was a community edition. I know and like there's also Visual Studio Code but like I guess my question is like if I were to start like I'm just like I want to go build a Xamarin app right now like Is is there a cost to tooling if I were to build it like I know riders JetBrains so that you... - Source: dev.to / about 1 month ago
  • Most Useful CI/CD Tools for DevOps
    Azure DevOps by Microsoft is an all-in-one CI/CD platform that features entire software delivery in one place. As the name suggests, it is more than just a CI/CD tool. - Source: dev.to / 2 months ago
  • Unveiling CodiumAI PR-Agent: A Comparative Analysis Against GitHub Copilot for Pull Requests
    PR-Agent offers extensive pull request functionalities across various git providers: GitHub, GitLab, or Bitbucket, CodeCommit, Azure DevOps, Gerrit. - Source: dev.to / 6 months ago
  • Crashing when loading up save
    Protip: Use a debugger like dnSpy or Visual studio to trace the source of error, by stepping the program line by line. You can restart with dnSpy attached. Source: 6 months ago
  • Create Custom Colour Themes on VSCode
    When done with the installation, proceed to Azure to create an organization under which your extension will be published. On the Azure DevOps page, sign up by clicking Start free. To set it up faster you can Start free with GitHub. - Source: dev.to / 9 months ago
View more

What are some alternatives?

When comparing Google BigQuery and Azure DevOps, 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?

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

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.

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

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.

Helix ALM - Helix ALM is the single, integrated application that lets you centralize and manage requirements, test cases, issues, and other development artifacts and their relationships.