Software Alternatives, Accelerators & Startups

Google BigQuery VS Docker

Compare Google BigQuery VS Docker and see what are their differences

Google BigQuery logo Google BigQuery

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

Docker logo Docker

Docker is an open platform that enables developers and system administrators to create distributed applications.
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Docker Landing page
    Landing page //
    2023-07-25

Docker

Website
docker.com
$ Details
Release Date
2013 January
Startup details
Country
United States
State
California
Founder(s)
Solomon Hykes
Employees
50 - 99

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

Docker videos

What is Docker in 5 minutes

More videos:

  • Tutorial - What is Docker? Why it's popular and how to use it to save money (tutorial)
  • Review - Real World PHP Dockerfile Review, from a #Docker Captain

Category Popularity

0-100% (relative to Google BigQuery and Docker)
Data Dashboard
100 100%
0% 0
Developer Tools
0 0%
100% 100
Big Data
100 100%
0% 0
Cloud Computing
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 Docker

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.

Docker Reviews

Exploring 7 Efficient Alternatives to MAMP for Local Development Environments
Though not specifically designed for PHP development, Docker offers a containerized approach to create, deploy, and run applications. It enables easy installation of PHP, web servers, and databases within containers, facilitating quick and consistent development environment setups.
Source: medium.com
Top 6 Alternatives to XAMPP for Local Development Environments
Docker - A containerization platform that allows developers to package applications and their dependencies into containers. Docker Compose can be used to define multi-container application stacks, including web servers, databases, and other services. Features powerful portability and consistency, supports rapid building, sharing, and container management, suitable for...
Source: dev.to
The Top 7 Kubernetes Alternatives for Container Orchestration
Docker uses images as templates to create new containers using Docker engine commands such as Build -t or run -d.
Kubernetes Alternatives 2023: Top 8 Container Orchestration Tools
Docker is an open-source platform for building, managing, deploying containerized applications. Swarm is a native feature in Docker with a group of virtual or physical machines that lets you schedule, cluster, and run Docker applications. It is a Docker alternative for Kubernetes that provides high portability, agility, and high availability.
Top 12 Kubernetes Alternatives to Choose From in 2023
Docker Swarm is a native clustering and orchestration solution provided by Docker, the leading containerization platform.
Source: humalect.com

Social recommendations and mentions

Based on our record, Docker should be more popular than Google BigQuery. It has been mentiond 65 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 (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 / 3 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
View more

Docker mentions (65)

  • How to Containerize Your Backend Applications Using Docker
    Similarly, Docker is a tool that helps developers package an application and all its parts—like code, libraries, and system settings—into a "container". This container can run on any computer, making sure the application works the same everywhere. Docker also lets you move these containers around easily, so you can run your app on any computer or even in the cloud without any fuss. And since containers are... - Source: dev.to / 7 days ago
  • Build a type-safe and event-driven Uptime Monitor in TypeScript
    Now make sure you have Docker installed and running, and then restart encore run to cause the site database to be created by Encore. Then let's call the site.add endpoint:. - Source: dev.to / 25 days ago
  • How to Dockerize a Nextjs Application Using Docker
    Docker is a platform designed to simplify the process of building, shipping, and running applications. It uses containerization technology to package an application and its dependencies into a standardized unit, called a container. Containers are lightweight and portable, and ensure that the application runs consistently across different environments like Windows and Linux. - Source: dev.to / about 1 month ago
  • Building an Appointment Booking app in Go
    To run locally you need to have Docker installed and running. - Source: dev.to / 6 months ago
  • Deploying a Go backend to Kubernetes with Automatic Cluster Provisioning
    To run the application locally, make sure you have Docker installed and running. This is required to run Encore applications with SQL databases. - Source: dev.to / 7 months ago
View more

What are some alternatives?

When comparing Google BigQuery and Docker, 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?

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

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.

Rancher - Open Source Platform for Running a Private Container Service

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.

Portainer - Simple management UI for Docker