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
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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
Virginia O.
- Role: Sales Marketing
- Industry: Banking
- Involvement: End User of Application
Submitted Jan 2025
Reliable data processing tool with weaknesses.
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
The fact that Bigquery is serverless is to the benefit of my team. As we do not have to worry about maintaining any kind of computer server infrastructure. The connection between Bigquery and other Google tools is another strong area of differentiation between this product and similar substitute products.
What is your favorite aspect of this product?
I like Bigquery's ability to manage large sized data ,I like that it is fast , and scalable. Most importantly, I love that it integrates well with Google analytics.
What do you dislike most about this product?
Bigquery's SQL interface comes with a slow learning curve. Can get very expensive especially for individual or small team users. I hope alert provisions can be made for users to get real time warnings about their bandwidth consumption .
What recommendations would you give to someone considering this product?
Bigquery performs very well with managing large sized datasets. This has made it a team favourite in my company for a variety of data operations including visualizations and ETL processes.
Pros
- Reliable
- Performance Enhancing
- Enables Productivity
- Security Protects
OLUWATOBI A.
- Role: Information Technology
- Industry: Technology
- Involvement: Initial Implementation
Submitted Dec 2024
Powerful & Scalable but too pricey
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Availability of serverless architecture and Real time Analytics
What is your favorite aspect of this product?
Its serverless architecture as it eliminates the need for infrastructure management, saves time and provides efficiency in handling massive datasets
What do you dislike most about this product?
Potential for unpredictable costs when working with large datasets or running frequent, complex queries.
What recommendations would you give to someone considering this product?
Understand your workloads, optimize queries to save costs because you run the risk of accumulating so much cost. Also train your team in understanding the need for cost saving and query optimization
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
- Role: Operations
- Industry: Transportation
- Involvement: IT Development, Integration, and Administration
Submitted Dec 2024
Good, but there is a space for improvement
Likeliness to Recommend
Pros
- Saves Time
- Efficient Service
- Respectful
- Effective Service
