Name: Google BigQuery
Rating: 4.5 (432 reviews)

Overview

Product Information on Google BigQuery

Updated 13th October 2025

What is Google BigQuery?

Google BigQuery is a cloud-based data warehouse software that enables users to store, analyze, and manage large datasets using SQL. The software supports fast querying and real-time analysis of structured and semi-structured data across scalable infrastructure. It integrates with various data analytics and business intelligence tools, offers built-in machine learning capabilities, and features automated performance optimization. BigQuery enables businesses to process and analyze large volumes of data to support decision making, data reporting, and predictive analytics. The software addresses challenges related to handling and processing extensive datasets within organizations without the need for traditional on-premises infrastructure.

Overall experience with Google BigQuery

Software Engineer

3B - 10B USD, Media

FAVORABLE

“Unmatched Speed and Scalability for the Startup companies”

4.0

Mar 30, 2026

I have used Google BigQuery for personal and enterprise company projects. No doubt it has been made with simplicity and serverless architecture to boost the productivity of a user and focus on problem solving. I already recommend it for beginners as it is user friendly and can be integrated with other data sources like bucket storage and marketplace datasets. Overall, I found it an intelligent tool with high scalability and cost effective.

Senior Director of Data and Cloud

50M - 250M USD, Media

CRITICAL

“New Spend Control Features Improve BigQuery, But Support Issues Remain”

3.0

Aug 26, 2025

BigQuery is a powerful tool but support is inconsistent. They have caught up in the competitive marketplace dramatically in the last few years.

About Company

Company Description

Googlers is a company that creates products intended to create opportunities for an extensive audience, regardless of their location across the globe. The company values diverse perspectives, imaginations and non-conformity to predefined norms and impossibilities. The goal is to build products while incorporating uniqueness of each individual involved in this process, aiming to make their products accessible and useful to all.

Company Details

Company type

Public

Year Founded

1998

Head office location

Mountain View, CA, United States

Annual Revenue

30B+ USD

Website

www.google.com

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User Sentiment About Google BigQuery

Reviewer Insights for: Google BigQuery

Deciding Factors: Google BigQuery Vs. Market Average

Performance of Google BigQuery Across Market Features

Google BigQuery Likes & Dislikes

It is easy to setup, scalable, easy to maintain, and can also be used for Machine Learning for training. The separation of compute and storage is the backbone of the infrastructure.

The most compelling feature is data delivery from other google products - Google Analytics and Google Ad Manager most of all. The new-ish features for controlling spend are strong.

If you know a bit of SQL it is fairly quick and easy to dive in and get started. BigQuery SQL does not vary too much from other forms so it is easy to pick up if you have prior knowledge of other SQL syntaxes.

It comes with limitations like row and column operations, sometimes the cost can go high as calculations are not that straight forward. Console can be made more user friendly. Since it is serverless, the user has limited area for customization.

Working with google support is sometimes very frustruting

You need to be very wise to how costs are processed when queries are run or it is easy to incur unexpected charges, especially if you have large datasets with bad table partitioning

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Peer Discussions

Google BigQuery Reviews and Ratings

Recommended Gartner Insights

1B-10B USD

Media

Review Source

Unmatched Speed and Scalability for the Startup companies

Mar 29, 2026

DATA ENGINEER

<50M USD

BigQuery BigBusiness BigResults

5.0

Mar 27, 2026

A great data warehouse product for collating and manipulating data that you can easily feed into other systems. Constantly evolving with new features and has Gemini now built into it. Gives you direct access to cloud storage and scheduled queries can be set up to manage and synchronise the movement of data and files. There is a wealth of documentation and help files and of course Gemini to help people get up to speed and make the most of the product.

Data Analyst

50M-1B USD

Finance (non-banking)

Evaluation of BigQuery’s Flexibility, Speed, and Centralized Google Ecosystem Integration

Apr 7, 2026

I consider Bigquery as the most hands off enterprise data warehouse on the market. I've been using bigquery since the start of my career almost a decade ago and it's generally a great experience.

Software

BigQuery Enables Fast Terabyte-Scale Queries and Simple File-Based Table Creation

Feb 20, 2026

BigQuery is the next step in database management. It's a product that stands out among its competitors because of very smart partitioning possibilities and a possibility to easily link it with other Google services.

Banking

Google Big Query Delivers Fast Performance But Rising Costs Can Be Challenging

Apr 6, 2026

I have had a positive experience using Google Big query for data analysis and reporting. It is very fast when handling large datasets and works well for querying and aggregating data at scale.