Name: Google BigQuery
Rating: 4.5 (435 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

Enterprise Architecture Lead

<50M USD, Services (non-Government)

FAVORABLE

“Incorporating Unrecognized Data Points Enhances Customer Journey and Campaigning”

4.0

May 12, 2026

Really valuable for customer journey analysis and allowing otherwise unrecognised data points to be incorporated into our customer journey, campaigning and marketing improvement strategy.

There are no reviews in this category.

CRITICAL

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

Google BigQuery Likes & Dislikes

It is fast (mostly real-time) and scalable, and integrates natively with Google Analytics - we can identify where people have interacted with us, separately from our in-house platforms, and draw threads back towards the point at which we succeeded in converting leads. It can be useful in assessing patterns, even when the data is anonymised.

The serverless, on-demand execution of queries without cluster sizing or spinning up nodes is a standout feature for me. You can just write queries and quickly assess results, or connect the results to datasets used in Looker or Google sheets.

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.

Some solid expertise is required to make the most of it - thankfully we have some very capable members in this area, making demonstrable improvements to our UX and strategy, and presenting the rationale well. Without this knowledge pool, it may be a less user-friendly and accessible means to draw these conclusions reliably.

Cost unpredictability is a pain point. The console's cost estimator feature helps, but it's often hard to control who can or cannot run a SELECT * and spike up costs.

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.

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Peer Discussions

Google BigQuery Reviews and Ratings

Recommended Gartner Insights

<50M USD

Services (non-Government)

Review Source

Incorporating Unrecognized Data Points Enhances Customer Journey and Campaigning

Product Analyst

50M-1B USD

Software

SQL at scale

Apr 27, 2026

As a data analyst, using BigQuery allowed me to get very quick results from running SQL queries on millions of rows without spinning up clusters. It rewards those who think carefully about the data models and structure before running queries, since the billing cost can be an unexpected surprise.

Software Engineer

1B-10B USD

Media

Unmatched Speed and Scalability for the Startup companies

Mar 29, 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.

Data Analyst

Finance (non-banking)

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

5.0

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.

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.

Overview

Product Information on Google BigQuery

What is Google BigQuery?

Google BigQuery Pricing

Overall experience with Google BigQuery

“Incorporating Unrecognized Data Points Enhances Customer Journey and Campaigning”