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
97 Plan to Renew
86 Satisfaction of Cost Relative to Value
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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.
+91 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
- Enables Productivity
- Acts with Integrity
- 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
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Feature Ratings
Data Integration
Distributed Processing
Data Management
Data Security
Analytics and Data Science Tools
Real Time Capabilities
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
Google BigQuery Reviews
Raghwendra S.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Development, Integration, and Administration
Submitted Jan 2024
Fast data warehouse suitable for dashboards
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Google BigQuery provides many functionalities to detect query data scan and query execution time before execution , allowing you to set policies to prevent poorly written queries from getting executed. It is very east to setup and performant
What is your favorite aspect of this product?
The east of use with google bigquery is very high, it also allows to connect google sheet to google big query via Connected Sheets feature
What do you dislike most about this product?
the pricing is not very competitive, it has compute and storage cost , because of the storage cost component you are charged for data which is loaded in big query
What recommendations would you give to someone considering this product?
For any team working in google cloud , using google bigquery is a simple solution to setup a data warehouse which is performant when you have a smaller team and want to get results faster
Pros
- Respectful
- Helps Innovate
- Continually Improving Product
- Reliable
Kosisochukwu M.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Nov 2025
Fast, simple, & great for large-scale SQL analysis
Likeliness to Recommend
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
Larisa A.
- Role: Information Technology
- Industry: Banking
- Involvement: Initial Implementation
Submitted Nov 2025
Great big data tool
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Easy of use, integration with other BI tools.
What is your favorite aspect of this product?
Easy of use.
What do you dislike most about this product?
Nothing I can think of.
What recommendations would you give to someone considering this product?
Try not to don't go high at first, build a POC and increase work sequentially.
Pros
- Continually Improving Product
- Efficient Service
- Respectful
- Includes Product Enhancements
