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.
87 Likeliness to Recommend
96 Plan to Renew
90 Satisfaction of Cost Relative to Value
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
- Caring
- 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 Management
Data Integration
Distributed Processing
Real Time Capabilities
Analytics and Data Science Tools
Metadata Management
Data Security
Platform Administration
Analytics and Reporting
Workload Management and Monitoring
Data Visualization
Vendor Capability Ratings
Business Value Created
Ease of IT Administration
Vendor Support
Ease of Implementation
Usability and Intuitiveness
Quality of Features
Ease of Data Integration
Breadth of Features
Availability and Quality of Training
Product Strategy and Rate of Improvement
Ease of Customization
Google BigQuery Reviews
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
Jesse S.
- Role: Information Technology
- Industry: Gaming and Hospitality
- Involvement: Business Leader or Manager
Submitted Feb 2022
Efficient, easy to use, but can get pricey…
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
BigQuery’s user interface is a lot more intuitive than some competitor’s offerings (especially when compared to AWS Athena for example). I also find BigQuery fits into our larger data ecosystem quite seamlessly.
What is your favorite aspect of this product?
The ease at which we’re able to effectively scale our analytics resources in conjunction with usage in other products (ie Looker). We find that using BigQuery with Looker gives us a range of benefits that support our business growth.
What do you dislike most about this product?
Sometimes I find the rate of product innovation to be a little sluggish. However, BI engine was recently moved into GA which is a feature that can enable great performance benefits when used correctly.
What recommendations would you give to someone considering this product?
Ensure that you think about your data needs in their entirety before going ahead with BigQuery (or any competitor for that matter). BigQuery serves our use case extremely well, but it may not suit the needs of other use cases as well.
Pros
- Helps Innovate
- Reliable
- Enables Productivity
- Trustworthy
Cons
- Less Generous
Raphael G.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Jan 2022
Cheap and easy to use
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
The user interface is modern, and it supports both standard and legacy sql.
What is your favorite aspect of this product?
Free quotas and you can request an increase. You only pay if you want to store data, so using big query is basically free. What this means is that you have the full powers of a modern data warehouse too at your beck and call
What do you dislike most about this product?
Well, I know SQL queries, and most modern Cloud Admins and Cloud Engineers are expected to know this too. So, if you don't have any idea about SQL this might be an issue.
What recommendations would you give to someone considering this product?
if it's sql that will stop you why not look at https://www.w3schools.com/sql/ brush up or even get qwiklabs training and set out on your journey to start using. You won't regret it.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Trustworthy
