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.
87 Likeliness to Recommend
96 Plan to Renew
90 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.
+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
- Caring
- 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 Management
Data Integration
Distributed Processing
Real Time Capabilities
Analytics and Data Science Tools
Metadata Management
Data Security
Platform Administration
Analytics and Reporting
Workload Management and Monitoring
Data Visualization
Vendor Capability Ratings
Business Value Created
Ease of IT Administration
Vendor Support
Ease of Implementation
Usability and Intuitiveness
Quality of Features
Ease of Data Integration
Breadth of Features
Availability and Quality of Training
Product Strategy and Rate of Improvement
Ease of Customization
Google BigQuery Reviews
Thomas C.
- Role: Operations
- Industry: Telecommunications
- Involvement: Business Leader or Manager
Submitted Jan 2022
Awesome product, powerful and easy to understand.
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Efficient and effective product with reliable features.
What is your favorite aspect of this product?
Understandable and easy to adapt to.
What do you dislike most about this product?
I don't have anything I dislike with this product.
What recommendations would you give to someone considering this product?
Strongly recommend to buy product.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Giridhar P.
- Role: Information Technology
- Industry: Engineering
- Involvement: Business Leader or Manager
Submitted Nov 2021
Great product for analytics and visualizations.
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
It's a fully manages a serverless warehouse conceptually that enables scalable analysis over petabytes of data. When it comes to processing this magnitude of data, google BigQuery stands out.
What is your favorite aspect of this product?
The volume of data that it's able to process and the performance throughput it offers is matchless. ASI SQL, Machine learning algorithms are packaged which is awesome.
What do you dislike most about this product?
The price may not be conducive of all the organizations. Customer support can be improved.
What recommendations would you give to someone considering this product?
If you are a part of an organization that generates several GB of data every hour to be processed and transformed, BigQuery should be your first choice.
Pros
- Respectful
- Continually Improving Product
- Reliable
- Enables Productivity
Nitin R.
- Role: Information Technology
- Industry: Transportation
- Involvement: IT Development, Integration, and Administration
Submitted Aug 2021
Manage your data with BigQuery warehouse securely
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Warehouse that stores huge database easily. Easy to operate, get business insights from analysis. Real time data analysis about business processes and share with teams easily. Encrypted data to make secure.
What is your favorite aspect of this product?
With Google BigQuery you will get real-time data insights from your business analysis. It receives vast data from every sources and make it easy to understand. Using standard SQL it helps to analyze data in cloud. According to google research, Data QnA enables to analyze petabytes of data through this tool and helps to embed in your chatbots, spreadsheets, BI platforms easily. It helps to export all data in spreadsheets. Accelerate query performance and reduce cost of your business. provides flexible pricing models, data governance and security. It helps in geographic data control by sitting anywhere.
What do you dislike most about this product?
Nothing to dislike. It is best tool by Google to make your work simple.
What recommendations would you give to someone considering this product?
Definitely recommend this to everyone as it is easy to use and can integrate with other software. With automate process it boosts up your analysis work and make is more smoother. It provides free credits during registration. Pricing is best and affordable for both growing and large businesses.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing