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.
87 Likeliness to Recommend
97 Plan to Renew
1
Since last award
89 Satisfaction of Cost Relative to Value
1
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.
+91 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
- 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 Management
Data Integration
Distributed Processing
Real Time Capabilities
Analytics and Data Science Tools
Data Security
Metadata Management
Workload Management and Monitoring
Analytics and Reporting
Platform Administration
Data Visualization
Vendor Capability Ratings
Business Value Created
Usability and Intuitiveness
Vendor Support
Ease of Implementation
Quality of Features
Ease of Data Integration
Ease of IT Administration
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
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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
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Vatsal G.
- Role: Consultant
- Industry: Retail
- Involvement: End User of Application
Submitted Jan 2025
Best tool to start your data warehouse journey
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Ease of Set up and minimal investment required to get started.
What is your favorite aspect of this product?
Ease of Set up. GCP vendors help you a lot with the initial set up.
What do you dislike most about this product?
not as good as snowflake or databricks.
What recommendations would you give to someone considering this product?
This is the data warehouse you need if your data is not too big.
Pros
- Reliable
- Performance Enhancing
- Enables Productivity
- Unique Features
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