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
87 Satisfaction of Cost Relative to Value
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?
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
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Feature Ratings
Data Integration
Data Management
Distributed Processing
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
Vendor Support
Ease of IT Administration
Availability and Quality of Training
Ease of Customization
Google BigQuery Reviews
Takunda A. M.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Nov 2023
Top-Tier data warehouse that exceeds expectation
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Google BigQuery differentiates itself from other similar products by its fully managed nature, scalability, high performance, cost-effectiveness, ease of use, integration with the Google Cloud ecosystem, machine learning capabilities, geospatial analysis, and security features.
What is your favorite aspect of this product?
High performance analytics and warehousing at a very affordable pay-as-you-go price
What do you dislike most about this product?
Limited data ingestion options, which may require third party workarounds
What recommendations would you give to someone considering this product?
Sign up and use it, it is a very powerful tool at a very low price
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Cons
- Charges for Enhancements
Satyam K.
- Role: Public Sector
- Industry: Energy
- Involvement: IT Development, Integration, and Administration
Submitted Aug 2025
Fast, scalable, and easy
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
What makes Google BigQuery stand out is how easy and fast it is to use. You don’t have to worry about setting up servers — it just works and grows with your data. It’s also nice that you only pay for what you use, and it connects well with other Google tools, which makes everything work smoothly together.
What is your favorite aspect of this product?
My favorite thing about Google BigQuery is its speed and simplicity. Even with huge amounts of data, it runs queries really fast, and I don’t have to worry about managing servers or infrastructure — it just works.
What do you dislike most about this product?
What I dislike most about Google BigQuery is that the cost can add up quickly if you’re not careful with how you run queries. Also, for new users, writing efficient SQL can take a little time to learn.
What recommendations would you give to someone considering this product?
If you’re thinking about using Google BigQuery, I’d recommend taking time to learn how to write efficient queries — it’ll save you money and speed things up. Also, set up cost controls and alerts early, so you can keep track of spending. And make sure to explore the integrations with other Google Cloud tools — they make your work much easier.
Pros
- Helps Innovate
- Continually Improving Product
- Inspires Innovation
- Caring
balamurugan S.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Feb 2025
Userfriendly and trustworthy
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Relaible and Trust worthy
What is your favorite aspect of this product?
Business agility of this product is my favorite
What do you dislike most about this product?
There is nothing to dialike about this product
What recommendations would you give to someone considering this product?
You can go for it!
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity
