Write a review temporarily disabled. Our system flagged this request as potentially automated and has disabled form submission for security reasons. If you believe this is a mistake, please contact us. We’ll be happy to help resolve the issue.

Google

Google BigQuery

Composite Score

8.9 /10

CX Score

9.1 /10

120 Reviews Write a Review

Claim Software

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

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Awards & Recognition

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

Filter By

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

{y}

{name}

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

Sidharth c.

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

Validated Review

Verified Reviewer

Submitted Feb 2026

All Powerful Data Warehouse

Likeliness to Recommend

9 /10

What differentiates Google BigQuery from other similar products?

Since Big Query is Integrated into Google, it's a lot easier to use along with Google Cloud. The Billing is Transparent and reasonable, UI is neat and Clean and Highly secure to use as a database

What is your favorite aspect of this product?

The interface is very neat and easy to do Analysis on data. It is simple and easy to use. Connecting database with BI tools like Qlik Sense is lot smooth and easier.

What do you dislike most about this product?

Google Big Query is not Friendly with Document type data and when low latency is needed using big query can be a bit troublesome for Big Data.

What recommendations would you give to someone considering this product?

IF a Familiar interface like Google Docs and Gmail is preferred you should choose Big Query. The cost is not High and is friendly on pocket.

Pros

Continually Improving Product
Reliable
Saves Time
Respectful

P K.

Role: Consultant
Industry: Consulting
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Jan 2026

The easiest and intuitve Data Warehousing platform

Likeliness to Recommend

10 /10

What differentiates Google BigQuery from other similar products?

The Cost of Big Query is relatively lesser than all other competitors. Also the UI is very intuitive and someone who is very new can also implement with ease

What is your favorite aspect of this product?

Easy & Intuitive UI Breadth of online resources available Support resolution speed

What do you dislike most about this product?

Advanced analytrics features and more integration options can be added

What recommendations would you give to someone considering this product?

If this is your first Data Warehouse implementation and what to setup a infrastruture fo supporting Analytics need, go for this one as it is simple and easy to implement

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Kosisochukwu M.

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Nov 2025

Fast, simple, & great for large-scale SQL analysis

Likeliness to Recommend

8 /10

What differentiates Google BigQuery from other similar products?

BigQuery stands out because it handles massive datasets without requiring any infrastructure work. The serverless model means you can focus on writing SQL rather than managing clusters or worrying about scaling. Its speed on large analytical queries is also a big advantage compared to traditional warehouses.

What is your favorite aspect of this product?

My favorite part is how easy it is to run complex queries quickly. Even large joins or detailed analytics run smoothly, and the pay-as-you-go model makes it simple to experiment without committing to heavy infrastructure.

What do you dislike most about this product?

The cost can be unpredictable, especially if a query isn’t optimized or someone accidentally scans a large dataset. Permissions can also feel confusing at times because they’re tied to multiple Google Cloud layers.

What recommendations would you give to someone considering this product?

I’d suggest spending time learning how to structure queries efficiently and setting up usage limits early. BigQuery performs extremely well, but managing costs and access controls from the start makes the experience much smoother.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Cons

Vendor's Interest First
Vendor Friendly Policies
Less Generous

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

Sidharth c.

All Powerful Data Warehouse

Likeliness to Recommend

Pros

P K.

The easiest and intuitve Data Warehousing platform

Likeliness to Recommend

Pros

Kosisochukwu M.

Fast, simple, & great for large-scale SQL analysis

Likeliness to Recommend

Pros

Cons

Most Popular Google BigQuery Comparisons

Amazon Redshift

Snowflake

Microsoft Azure Synapse Analytics

Cloudera Data Platform

SAP HANA Cloud

Oracle Exadata

1
Since last award

1
Since last award

1
Since last award

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