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 AssistanceGoogle 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.
88 Likeliness to Recommend
1
Since last award
96 Plan to Renew
86 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
- Enables Productivity
- Security Protects
- Saves Time
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
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
Google BigQuery Reviews
Matthias S.
- Role: Information Technology
- Industry: Consulting
- Involvement: End User of Application
Submitted Jun 2024
Process and analyze meaningful data sets.
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
It is very scalable and can handle massive data sets quickly and efficiently, among other things.
What is your favorite aspect of this product?
I love its intuitive and friendly interface because it makes it easy to load data, execute SQL queries, and view results.
What do you dislike most about this product?
Dislike The expenses associated with using Google BigQuery can be a limitation.
What recommendations would you give to someone considering this product?
I highly recommend it thanks to its distributed architecture and parallel processing capabilities; It also has exceptional query execution performance. Even with huge data sets, this allows real-time analysis results.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Sidharth c.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Feb 2026
All Powerful Data Warehouse
Likeliness to Recommend
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
Submitted Jan 2026
The easiest and intuitve Data Warehousing platform
Likeliness to Recommend
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
