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
98 Plan to Renew
1
Since last award
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.
+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
- 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
Workload Management and Monitoring
Platform Administration
Metadata Management
Data Visualization
Vendor Capability Ratings
Business Value Created
Ease of Implementation
Quality of Features
Usability and Intuitiveness
Ease of Data Integration
Vendor Support
Ease of IT Administration
Breadth of Features
Product Strategy and Rate of Improvement
Ease of Customization
Availability and Quality of Training
Google BigQuery Reviews
Viktor F.
- Role: Sales Marketing
- Industry: Finance
- Involvement: IT Development, Integration, and Administration
Submitted May 2023
great product!
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
ease of use
What is your favorite aspect of this product?
using row data
What do you dislike most about this product?
the time of loading of queries
What recommendations would you give to someone considering this product?
that is a really interesting tool that helps taking business to another level
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity
Please tell us why you think this review should be flagged.
Dominic C.
- Role: Sales Marketing
- Industry: Finance
- Involvement: End User of Application
Submitted Mar 2023
Effective and easily accessible cloud-based data
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
In our company, we were searching for a dependable and user-friendly cloud-based data warehousing solution. Additionally, its potential to integrate with other technologies was what drove the purchase. It was, in my opinion, a great tool for securely handling huge data queries and storing data in a warehouse.
What is your favorite aspect of this product?
Because BIgQuery is self-managed, it is highly straightforward to develop and build a data model without having to spend time allocating resources for every possible use case. Additionally, they provide a variety of price alternatives to meet diverse needs, protect data, and provide configuration options for appropriate governance.
What do you dislike most about this product?
But for us, Google Cloud BigQuery's scalability, cloud-native design, connection with other services on the Google Cloud Platform, usability, and quick query performance more than make up for these potential limitations. All the data was processed promptly using a secure method. Small problems are not a huge deal.
What recommendations would you give to someone considering this product?
Bigquery can be used in conjunction with SQL and allows you to express complicated reasoning in JavaScript. We utilize Colab to create rapid prototypes, and using Google Colab to connect to Bigquery was quite simple. Give it a try; its capabilities will let you operate more efficiently and save massive amounts of data in real-time.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Please tell us why you think this review should be flagged.
Claudia M.
- Role: Sales Marketing
- Industry: Technology
- Involvement: End User of Application
Submitted Mar 2023
Effective and easily accessible cloud-based data
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
It offers links to BI tools like Looker or PowerBI among others, and it includes API interactions with various GCP tools. BigQuery effectively addresses the needs of many customers that want to create their data solutions while considering performance, usability, security, and cost.
What is your favorite aspect of this product?
We had a terrific experience with it. Because BigQuery is self-managed, it is highly straightforward to develop and build a data model without having to spend time allocating resources for every possible use case. Additionally, they provide a variety of price alternatives to meet diverse needs, protect data, and provide configuration options for appropriate governance.
What do you dislike most about this product?
After the table is built, more columns cannot be indexed. Once inserted, a row cannot be modified. Additionally, once the table is established, the table schema cannot be changed. Because of this, to add a new column, one must first create a new table, copy all of the existing columns, and then add the new column to the new table only.
What recommendations would you give to someone considering this product?
BigQuery is an effective solution that makes it simple and quick to use SQL to examine massive datasets. Because of how simple to use and how well it interfaces with other Google Cloud services, it is a tremendous asset for our company. I advise you to do this for excellent work.
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Inspires Innovation
Please tell us why you think this review should be flagged.
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