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Google

Google BigQuery

Composite Score

8.9 /10

CX Score

9.1 /10

120 Reviews Write a Review

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What is Google BigQuery?

BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Use BigQuery to manage all data types across clouds, structured and unstructured, with fine-grained access controls. BigQuery's serverless architecture lets you use SQL queries to analyze your data. You can store and analyze your data within BigQuery or use BigQuery to assess your data where it lives.

Company Details

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Awards & Recognition

Google BigQuery won the following awards in the Analytical Data Store category

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2025 Emotional Footprint Champion

Latest Award, 2025

2025 Data Quadrant Champion

2025

10 Top Rated Capabilities

7 Top Rated Features

2025

2024 Emotional Footprint Champion

2024

Service Experience
Contract Negotiation

2024

2024 Data Quadrant Champion

2024

8 Top Rated Capabilities

4 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Service Experience
Contract Negotiation
Conflict Resolution

2023

2023 Data Quadrant Champion

2023

8 Top Rated Capabilities

6 Top Rated Features

2023

2022 Emotional Footprint Champion

2022

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2022

2022 Data Quadrant Champion

2022

10 Top Rated Capabilities

5 Top Rated Features

2022

Google BigQuery Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Google BigQuery.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

89 Likeliness to Recommend

1
Since last award

96 Plan to Renew

1
Since last award

86 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+92 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Google BigQuery?

3% Negative

2% Neutral

95% Positive

Pros

Respectful
Enables Productivity
Security Protects
Saves Time

Feature Ratings

Average 83

Data Integration

Distributed Processing

Data Management

Data Security

Real Time Capabilities

Analytics and Data Science Tools

Analytics and Reporting

Platform Administration

Metadata Management

Workload Management and Monitoring

Data Visualization

Vendor Capability Ratings

Average 82

Business Value Created

Ease of Implementation

Usability and Intuitiveness

Quality of Features

Ease of Data Integration

Product Strategy and Rate of Improvement

Breadth of Features

Ease of IT Administration

Vendor Support

Availability and Quality of Training

Ease of Customization

Google BigQuery Reviews

Ricardo M.

Role: Information Technology
Industry: Finance
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Oct 2023

Elaborate and Accurate Data Solution

Likeliness to Recommend

9 /10

What differentiates Google BigQuery from other similar products?

The data integration capacity from this platform is one of the benefiting factors, that allows us to have a solid performance.

What is your favorite aspect of this product?

The immediate data screening, which allows all transactions to be recorded and monitored.

What do you dislike most about this product?

The tool has the subscription challenges, where cost is a big challenge that users find when working with the platform.

What recommendations would you give to someone considering this product?

This is the most affordable and useful solution in matters investment, and the capacity to control data and ensure clarity is one of the basics from the developer.

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Charles D.

Role: Finance
Industry: Finance
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Sep 2023

Great product to use

Likeliness to Recommend

5 /10

What differentiates Google BigQuery from other similar products?

BigQuery has amazing customer service that is unmatched.

What is your favorite aspect of this product?

It is very easy to use for all skill levels.

What do you dislike most about this product?

Interface is sometimes difficult to use

What recommendations would you give to someone considering this product?

I would definitely get the product, we have had not regrets.

Pros

Performance Enhancing
Effective Service
Saves Time
Respectful

Cons

Less Inspiring
Less Friendly Negotiation
Security Frustrates

ABID HUSSAIN A.

Role: Information Technology
Industry: Other
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Jul 2023

Fantastic product

Likeliness to Recommend

9 /10

What differentiates Google BigQuery from other similar products?

Storing large amount of data and query large amount of datasets in tera or petabytes within seconds

What is your favorite aspect of this product?

Analytics and Reporting

What do you dislike most about this product?

Although it supports large amount of data storage but lags in complex queries performance

What recommendations would you give to someone considering this product?

It is cost effective fully managed Enterprise Data warehouse solution for all those customers who have matching business requirements with this solution

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

Google BigQuery

What is Google BigQuery?

Company Details

Need Assistance?

Awards & Recognition

2025 Emotional Footprint Champion

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

2023 Data Quadrant Champion

2022 Emotional Footprint Champion

2022 Data Quadrant Champion

Google BigQuery Ratings

89 Likeliness to Recommend

1 Since last award

96 Plan to Renew

1 Since last award

86 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+92 Net Emotional Footprint

How much do users love Google BigQuery?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Integration Includes integration of data from multiple sources, merging systems, transforming data and capture data to form a unified view of a company's data assets

Distributed Processing Data storage and processing is shared among many physical or virtual independents servers or sites for high volume data with seamless access to large datasets.

Data Management Includes data sharing, data storage, records management, and data security.

Data Security Includes ability to hide sensitive data by masking with special characters or anonymous information.

Real Time Capabilities Ability to analytics and visualize data as soon as it becomes available in underline systems.

Analytics and Data Science Tools Includes Analytics and Data science components such as AI, statistical and machine learning libraries

Analytics and Reporting Includes historical & real-time dashboard visualizations, detailed & summary reporting and easy data extraction for data analysis.

Platform Administration Includes back-end interface and administrative capabilities

Metadata Management Easily manage metadata associated with customer data or audience segments.

Workload Management and Monitoring Includes task, performance, monitoring and time management

Data Visualization Thematic visualization with the ability to change views, including color, pattern/icon, dot-density, chart, scaled-symbol, and 3D prism themes

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Google BigQuery Reviews

Ricardo M.

Elaborate and Accurate Data Solution

Likeliness to Recommend

Pros

Charles D.

Great product to use

Likeliness to Recommend

Pros

Cons

ABID HUSSAIN A.

Fantastic product

Likeliness to Recommend

Pros

Most Popular Google BigQuery Comparisons

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Since last award

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Feature Ratings

Data Integration

Distributed Processing

Data Management

Data Security

Real Time Capabilities

Analytics and Data Science Tools

Analytics and Reporting

Platform Administration

Metadata Management

Workload Management and Monitoring

Data Visualization

Vendor Capability Ratings

Business Value Created

Ease of Implementation

Usability and Intuitiveness

Quality of Features

Ease of Data Integration

Product Strategy and Rate of Improvement

Breadth of Features

Ease of IT Administration

Vendor Support

Availability and Quality of Training

Ease of Customization