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
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Since last award
97 Plan to Renew
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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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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
siddharth s.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Jun 2023
Powerful and scalable data analysis tool
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Google BigQuery distinguishes itself from other similar products through its impressive processing speed, and scalable infrastructure
What is your favorite aspect of this product?
My favorite aspect of Google BigQuery is its ability to handle and process massive volumes of data efficiently and quickly
What do you dislike most about this product?
I dislike about Google BigQuery is that it can be challenging to optimise and fine-tune query performance
What recommendations would you give to someone considering this product?
I would recommend investing time in understanding and mastering SQL query optimisation techniques to maximise performance and efficiency
Pros
- Helps Innovate
- Continually Improving Product
- Performance Enhancing
- Enables Productivity
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
Derek P.
- Role: Information Technology
- Industry: Insurance
- Involvement: IT Development, Integration, and Administration
Submitted Feb 2023
Gets the job done but could be better.
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
There isn't really anything that differentiates Google BigQuery from others other than maybe SQL syntax-specific quirks. The capabilities and features are on par with others,
What is your favorite aspect of this product?
Since BigQuery's page layout is similar to Redshift and Snowflake, it was an easy transition. In addition, it's very easy to create snapshots. In addition, it's very off-hands, meaning that resources and power can automatically be managed. Also, BigQuery lets you know how expensive a query is prior to running it.
What do you dislike most about this product?
While there isn't anything that I dislike, I think that the platform could do a better job in notifying users of changes that could be made to further optimize our use of BigQuery (whether it's writing queries better, organizing schemas better, and so on).
What recommendations would you give to someone considering this product?
BigQuery gets the job done just like any other competitor like Redshift or Snowflake. However, in rare situations where it matters, most people come from a background having used Redshift or Snowflake only, and therefore, when writing SQL, some things specific to BigQuery might take time getting used to. Other than that, I would take time to architect how you want the infrastructure to look prior to creating. However, if mistakes are made, they are easily correctable.
Pros
- Trustworthy
- Caring
- Respectful
- Client Friendly Policies
Cons
- Less Efficient Service
- Less Effective Service
- Wastes Time
