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
97 Plan to Renew
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.
+92 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
Metadata Management
Workload Management and Monitoring
Data Visualization
Vendor Capability Ratings
Business Value Created
Ease of Implementation
Usability and Intuitiveness
Quality of Features
Ease of Data Integration
Breadth of Features
Product Strategy and Rate of Improvement
Vendor Support
Ease of IT Administration
Availability and Quality of Training
Ease of Customization
Google BigQuery Reviews
Claire T.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted May 2022
Enhanced decision making abilities
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Scalability, ease of setup and use, and no need to worry about infrastructure make it an extremely powerful tool. BQML and federated query are useful features that save a lot of time when bringing data into a data warehouse in a traditional environment.
What is your favorite aspect of this product?
I tried so many tools in our organization before utilizing it but none of them work according to our needs I love BigQuery which crossed my expectations. We use BigQuery to aggregate data from multiple systems and create datasets for data analysis that aid in decision making, visualizing the status of business processes, and automating decisions and notifications based on highly customizable criteria.
What do you dislike most about this product?
We're constantly reaching our maximum slot usage, which means some queries won't run or we'll hit concurrent slot usage, which means some queries will time out and not retrieve data. This is one of the most difficult problems we have.
What recommendations would you give to someone considering this product?
When dealing with extremely large amounts of data, Google BigQuery comes in handy. We don't have to pay for hardware, so it's much cheaper than on-site data storage. In comparison to other query tools we've used, running queries is simple and quick. I would strongly suggest Google BigQuery.
Pros
- Continually Improving Product
- Reliable
- Unique Features
- Effective Service
Francisco M.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2022
Great product
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Great design and highly intuitive
What is your favorite aspect of this product?
Stability and reliability
What do you dislike most about this product?
A little bit pricey for what it is
What recommendations would you give to someone considering this product?
Consider all the options to see the most suitable for your objectives
Pros
- Respectful
- Helps Innovate
- Continually Improving Product
- Trustworthy
Githatu W.
- Role: Information Technology
- Industry: Other
- Involvement: End User of Application
Submitted Feb 2022
My Experience With Google BigQuery
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
What makes Google BigQuery special is that the business needs no infrastructure and saves money because no need to have a database administrator.
What is your favorite aspect of this product?
I like the pay as go model I like the the database infrastructure is provided by Google and therefore we save money and the trouble of managing such an infrastructure. The platform is fast and very secure Access ans using the platform is straightforward
What do you dislike most about this product?
No much to complain about. It's has been an amazing experience
What recommendations would you give to someone considering this product?
Google BigQuery is a great database platform for business. It's affordable and very secure. Querying is also easy.
Pros
- Helps Innovate
- Efficient Service
- Fair
- Continually Improving Product
