Google BigQuery

Google BigQuery

Score 8.8 out of 10
Google BigQuery

Overview

What is Google BigQuery?

Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.
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Recent Reviews

BigQuery = Big Win

9 out of 10
April 26, 2021
BigQuery (along with Airflow) has become a critical part of our technology stack. It is being used to support the ingestion of large …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 6 features
  • Database scalability (30)
    9.4
    94%
  • Database security provisions (24)
    9.2
    92%
  • Automated backups (24)
    9.0
    90%
  • Monitoring and metrics (26)
    7.9
    79%

Reviewer Pros & Cons

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Video Reviews

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Pricing

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Queries (Hourly Flex Slots)

$4

Cloud
per 100 slots

Queries (On-Demand)

$5

Cloud
per TB

Queries (Annual Flat Rate)

$1,700

Cloud
per 100 slots

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services
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Features

Database-as-a-Service

Database as a Service (DBaaS) software, sometimes referred to as cloud database software, is the delivery of database services ocer the Internet as a service

8.9Avg 8.7
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Product Details

What is Google BigQuery?

Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.

Google BigQuery Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.

Reviewers rate Database scalability highest, with a score of 9.4.

The most common users of Google BigQuery are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews

(1-9 of 9)
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Score 10 out of 10
Vetted Review
Verified User
Google Support members are very helpful in resolving the issues and queries. Any questions or queries will be entertained at a timely manner with professionalism, as well as tips and improvement that can be done for the proposed solutioning. In the case that some functionalities are not present within Google BigQuery, they are more than happy to admit the limitation and would like feedback for improvement.
Jose F. Gomez | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
It’s Google, they’re big and well organized, the documentation is abundant and the scalability is amazing. The UX is good too, considering it’s a professional tool expected to be used by people with a specific technical background. Overall, it makes me feels good and secure that we know where to store the data, how to use that data and that the data is handled with utmost security and performance practices.
Score 10 out of 10
Vetted Review
Verified User
BigQuery has exceeded our cloud data warehouse needs with features such as it inherits security features of Google Cloud Platform, it encrypts data by default for added security and Google Cloud DLP service supports BigQuery. Also, BigQuery natively supports streaming data, which is available for real-time analysis within a few seconds of the first streaming insertion into a table.
Score 8 out of 10
Vetted Review
Verified User
Online documentation was readily available and it was easy to connected with the product management team for Google BigQuery during Google Cloud Next 2019 event. We didn't have to open a SR/ticket through the usual support channel to get our issues resolved!
Tristan Dobbs | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Reseller
BigQuery can be difficult to support because it is so solid as a product. Many of the issues you will see are related to your own data sets, however you may see issues importing data and managing jobs. If this occurs, it can be a challenge to get to speak to the correct person who can help you.
Score 7 out of 10
Vetted Review
Verified User
As with any large company, support isn't always easy to get to. There are plenty of online tutorials and they have online guides that aren't too difficult to find. For last minute issues, a call is the best option to figure out what your next step should be. it's not a terrible customer service system, especially if you spend an appropriate amount of time beforehand familiarizing yourself with the system. That'll expedite any further questions you have down the road and make the support a much bigger help.
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