Software Alternatives & Reviews

Cloud Firestore VS Google BigQuery

Compare Cloud Firestore VS Google BigQuery and see what are their differences

Cloud Firestore logo Cloud Firestore

Use our flexible, scalable NoSQL cloud database to store and sync data for client- and server-side development.

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • Cloud Firestore Landing page
    Landing page //
    2023-02-07
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

Cloud Firestore videos

What is a NoSQL Database? How is Cloud Firestore structured? | Get to know Cloud Firestore #1

More videos:

  • Review - Cloud Firestore Data Modeling (Google I/O'19)

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 Cloud Firestore and Google BigQuery)
Databases
100 100%
0% 0
Data Dashboard
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

Share your experience with using Cloud Firestore and Google BigQuery. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Cloud Firestore and Google BigQuery

Cloud Firestore Reviews

We have no reviews of Cloud Firestore yet.
Be the first one to post

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

Cloud Firestore might be a bit more popular than Google BigQuery. We know about 43 links to it since March 2021 and only 35 links to Google BigQuery. 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.

Cloud Firestore mentions (43)

  • 5 Best Instant Messaging APIs
    Firebase is an app development platform backed by Google that famously replaces the need for a backend. It accomplishes this by providing developers with a variety of services, including authentication, push notifications, and a database called Cloud Firestore that can be adapted to store and broadcast chat messages in realtime. - Source: dev.to / 3 months ago
  • How do you handle different user roles?
    Within the Firebase system, I use Firestore. To minimize queries of multiple collections ( keep server costs down ) I keep users in one collection. Within each user object I have a "roles" property that is a sub-object referencing the different roles available:. Source: 5 months ago
  • How to Choose the Right Document-Oriented NoSQL Database for Your Application
    NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 8 months ago
  • No more Supabase love? Likely switching to Firebase.
    Oh, I don't think this is what you're looking for. It's NoSQL versus Supabase's PostgreSQL implementation. {sigh}. Source: 10 months ago
  • I just realized how expensive Firebase is for Social Media Apps
    I tried to make a reddit like app. I used both realtime-database and firestore as database. The billing of the two is different from each other. I used realtime-database for frequently updated data (like or upvote, downvote count for ex.) and firestore for more stable and large data (post, comment, community and user data..). While doing this, I only used database rules, I did not use Cloud functions. So, I... Source: 11 months ago
View more

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 / 8 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 / 8 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 / 9 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

What are some alternatives?

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

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

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

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

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.

Firebase Authentication - Application and Data, Application Utilities, and User Management and Authentication

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.