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
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Since last award
97 Plan to Renew
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Since last award
89 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.
+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
- 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 Management
Data Integration
Distributed Processing
Real Time Capabilities
Analytics and Data Science Tools
Data Security
Metadata Management
Workload Management and Monitoring
Platform Administration
Analytics and Reporting
Data Visualization
Vendor Capability Ratings
Business Value Created
Usability and Intuitiveness
Vendor Support
Ease of Implementation
Quality of Features
Ease of IT Administration
Ease of Data Integration
Breadth of Features
Product Strategy and Rate of Improvement
Availability and Quality of Training
Ease of Customization
Google BigQuery Reviews
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
Ofoha U.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Jan 2025
Great for large data, but can get pricey.
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Google BigQuery stands out because it is serverless, meaning you don't need to manage or worry about the underlying hardware. This makes it easier to use, as you can just focus on analyzing your data.
What is your favorite aspect of this product?
My favorite aspect of this product is that BigQuery is cost effective. It charges based on how much data you query, not on how much storage or computing power you use, which can make it more cost-effective.
What do you dislike most about this product?
What I dislike most about Google Big query is users don't have much control over the system because BigQuery is serverless. This can be a problem for people who want to customize settings for better performance.
What recommendations would you give to someone considering this product?
I would recommend Google BigQuery for analyzing large datasets easily, but be aware of its costs for big queries and the time it might take to learn its SQL.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Tahreem K.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Jan 2025
Powerful and fast, needs better cost management.
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Google BigQuery excels in handling massive datasets with its serverless architecture and lightning-fast query performance. Its seamless integration with the Google Cloud ecosystem and built-in machine-learning capabilities set it apart from other solutions.
What is your favorite aspect of this product?
I appreciate its speed and scalability, making it ideal for analyzing large datasets. The ability to query data quickly without worrying about infrastructure management is a standout feature.
What do you dislike most about this product?
The pricing structure can be complex, and costs can escalate unexpectedly with large query volumes. Limited support for unstructured data is also a drawback.
What recommendations would you give to someone considering this product?
BigQuery is a great choice for organizations working with large-scale data. To manage costs effectively, monitor query usage and optimize your queries. Pairing it with Google Cloud tools can further enhance its capabilities.
Pros
- Helps Innovate
- Continually Improving Product
- Unique Features
- Reliable
