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.
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Real user data aggregated to summarize the product performance and customer experience.
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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.
88 Likeliness to Recommend
98 Plan to Renew
1
Since last award
87 Satisfaction of Cost Relative to Value
2
Since last award
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.
+90 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?
Pros
- Respectful
- Acts with Integrity
- Enables Productivity
- Security Protects
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Data Integration
Data Management
Distributed Processing
Data Security
Analytics and Data Science Tools
Real Time Capabilities
Analytics and Reporting
Platform Administration
Workload Management and Monitoring
Metadata Management
Data Visualization
Vendor Capability Ratings
Business Value Created
Ease of Implementation
Usability and Intuitiveness
Ease of Data Integration
Quality of Features
Vendor Support
Breadth of Features
Ease of IT Administration
Product Strategy and Rate of Improvement
Ease of Customization
Availability and Quality of Training
Google BigQuery Reviews
Fagbamigbe T.
- Role: Operations
- Industry: Finance
- Involvement: End User of Application
Submitted Jun 2025
Streamlined data transformation
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
User friendly interface
What is your favorite aspect of this product?
Seamless integration with microsoft
What do you dislike most about this product?
Complex error handling
What recommendations would you give to someone considering this product?
Adaptive automation
Pros
- Helps Innovate
- Reliable
- Enables Productivity
- Trustworthy
Damilola O.
- Role: Consultant
- Industry: Banking
- Involvement: End User of Application
Submitted Jun 2025
Excellent Performance with Minimal Maintenance
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Seamless Integration with Google Cloud Ecosystem
What is your favorite aspect of this product?
Business Intelligence / Dashboarding Focus
What do you dislike most about this product?
What I dislike most is the lack of real-time cost visibility and predictability. It鈥檚 easy to run expensive queries accidentally, especially when dealing with large datasets.
What recommendations would you give to someone considering this product?
Take time to understand the on-demand vs. flat-rate pricing options. Use query dry runs and cost controls to avoid unexpected charges, especially when working with large datasets.
Pros
- Reliable
- Performance Enhancing
- Trustworthy
- Caring
Prisca Nwanneka E.
- Role: Consultant
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted May 2025
Powerful and scalable
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
BigQuery stands out for its serverless architecture, seamless integration with Google Cloud services, and ability to handle massive datasets with fast query performance.
What is your favorite aspect of this product?
The speed and scalability鈥攓ueries over large datasets return results in seconds without the need to manage infrastructure.
What do you dislike most about this product?
Cost unpredictability鈥攃omplex or frequent queries can quickly lead to high expenses if not monitored closely.
What recommendations would you give to someone considering this product?
Start with clear usage monitoring and cost controls. Take advantage of flat-rate pricing if you have predictable workloads, and optimize queries to avoid unnecessary data processing.
Pros
- Continually Improving Product
- Reliable
- Performance Enhancing
- Trustworthy
