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.
Company Details
Need Assistance?
We're here to help you with understanding our reports and the data inside to help you make decisions.
Get AssistanceGoogle BigQuery Ratings
Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard
to access more information on Google BigQuery.
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
Leong J.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Sep 2022
To increase organizational agility.
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Features such as BQML and federated queries are advantageous as they greatly reduce the time required to access data from the data warehouse facility in a typical context. We don't need RAM on our local computer because it's in the cloud, which I find very convenient. Using SQL scripts without a server has the advantage of simplifying the management of large volumes of data.
What is your favorite aspect of this product?
To easily build tables, control data visibility rights, connect to new data sources, automate alerts, or schedule data processing activities, I like to use Google BigQuery. It may serve as a comprehensive big data storage solution that allows me to easily access sales and marketing data in one place. Data may be readily restored using a straightforward console that doesn't require any training. You can establish time-limited automated security copies that can be locked.
What do you dislike most about this product?
Optimizations are still missing in both data visualization and user experience. The user interface needs optimization.
What recommendations would you give to someone considering this product?
I recommend Google BigQuery is compatible with regular SQL, switching to this database will not require any changes to your core infrastructure or your queries. It will just work if you link your web app as well. It guarantees compatibility with different types of databases that follow SQL standards.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Peter P.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Sep 2022
More appealing and Valuable
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Google BigQuery works on a cloud infrastructure and because of its cloud architecture, it is in my view the fastest and most attractive system, which allows for seamless accessibility and flexible data storage. It displays the amount of data that will be retrieved and can be utilized to further improve the query.
What is your favorite aspect of this product?
To start, the best thing is its simplicity and scalability and the fact that on its interface we can use SQL to query our data. As it adheres to serverless design, we merely have to worry about the management and safety of our data. Google BigQuery can handle both computation and storage. It facilitates in-the-moment assessment. To sum up, this is a top-notch product.
What do you dislike most about this product?
I don't believe this is a big deal because we are all cognizant that in order to get the best results, we must pay a little more money. Google BigQuery is expensive but offers excellent value for the money and equips its users with the most powerful platform, which will undoubtedly meet your needs and allow you to scale however you like.
What recommendations would you give to someone considering this product?
It is a reliable and quick way to store, process, and query data. Using Google BigQuery, which is much more powerful and can fit any corporate setting because have too many possibilities for tweaking. Users can process enormous amounts of data in a remarkably short amount of time. Based on my experience, I believe this can be ideal for any corporation.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Enables Productivity
Boinett G.
- Role: Industry Specific Role
- Industry: Finance
- Involvement: End User of Application
Submitted Aug 2022
An Amazing Business Storage Tool
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Google BigQuery is super good when it comes to data storage. It makes searching and managing big data easy
What is your favorite aspect of this product?
It's highly secure Scaling Google BigQuery is effortless The software offers great features and makes searching data as well as storage of big data easy
What do you dislike most about this product?
I haven't encountered major issues using Google BigQuery
What recommendations would you give to someone considering this product?
For business data storage, I recommend Google BigQuery because it offers the best or nothing. It's Affordable and scaling and securing business data is easy too.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing