Google BigQuery

Overview

Reviews

Quit Worrying, Start Using BigQuery

10
Used to deploy this solutioning to the client by shifting away from traditional data warehouse to cloud data warehouse. It resolves the …
Read full review

BigQuery = Big Win

9
BigQuery (along with Airflow) has become a critical part of our technology stack. It is being used to support the ingestion of large …
Read full review

A Robust Tool for Big Data Analysis

8
Google BigQuery is being used to analyze click-stream data-set in conjunction with structured data-set. It is being used in the sales and …
Read full review

BigQuery- A big tool with a lot to offer

7
We use BigQuery to manage large datasets we collect in surveys and in regular work projects. Only one person is in charge of it as we are …
Read full review

Google BigQuery: Slow Learning Curve

6
In our organization, Google BigQuery is for storing very large data which is created within seconds. We log each and every event done by …
Read full review

Popular Features

View all 6 features

Database scalability (27)

9.9
99%

Automated backups (22)

9.7
97%

Database security provisions (22)

9.7
97%

Monitoring and metrics (23)

8.6
86%

Reviewer Pros & Cons

View all pros & cons

Pricing

View all pricing

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

Features Scorecard

Database-as-a-Service

9.6
96%

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 TypesSaaS
Operating SystemsUnspecified
Mobile ApplicationNo

Alternatives

View all alternatives

Frequently Asked Questions

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.

What is Google BigQuery's best feature?

Reviewers rate Database scalability highest, with a score of 9.9.

Who uses Google BigQuery?

The most common users of Google BigQuery are from Mid-size Companies and the Computer Software industry.

Reviews

(1-10 of 10)
Companies can't remove reviews or game the system. Here's why
Score 10 out of 10
Vetted Review
Verified User
Review Source
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.
Score 8 out of 10
Vetted Review
Verified User
Review Source
I rated the overall support for Google BigQuery as a mediocre five because it has limited support from Google. Instead, it is heavily dependent on an organization's IT resources such as SQL analysts and Data Architects to run big data reports or maintain data quality. Additionally, if errors occur during a run of complex SQL queries or when sending data to Google BigQuery from other sources, Google provides basic email support which needs to be complemented with internal data warehouse support to fix the root cause of the database errors. Finally, due to constraints on the amount of data an analyst can query or pay the additional cost when exceeding the limit, basic Google support is not sufficient to meet data needs without interruption.
Tristan Dobbs | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Reseller
Review Source
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.
Jose F. Gomez | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
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
Review Source
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
Review Source
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!
Score 7 out of 10
Vetted Review
Verified User
Review Source
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.