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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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
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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
Keith B.
- Role: Finance
- Industry: Finance
- Involvement: End User of Application
Submitted Jan 2025
Big Insights, Bigger Metadata: BigQuery in Action!
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Google BigQuery's strength lies in how effortlessly it handles massive datasets while allowing you to structure and query metadata at lightning speed. BigQuery adapts to diverse scenarios, making it a standout platform for metadata-heavy environments. It brings the scalability of Google’s cloud infrastructure with the flexibility to analyze metadata from just about any source.
What is your favorite aspect of this product?
What I’ve found incredibly helpful is how BigQuery handles schema evolution. You don’t have to worry about static designs; it allows for dynamic adjustments without breaking queries or requiring laborious updates. The ability to use SQL-like syntax for querying metadata means there’s no steep learning curve, and integrations with tools like Looker make it even more accessible for visualization
What do you dislike most about this product?
The cost of queries, while manageable, can sometimes sneak up on you if your metadata processes involve multiple nested queries or large datasets. Also, while it excels at integration, there’s still room to improve its built-in governance
What recommendations would you give to someone considering this product?
By centralizing our metadata on BigQuery, we’ve reduced the time spent reconciling mismatched data by over 50%. Having a single source of truth for metadata has not only improved reporting accuracy but has also made audit preparation much easier. It’s reassuring to know that all our metadata is readily accessible and queryable, with processing times that consistently beat expectations.
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity
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
