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Google BigQuery

What is Google BigQuery?

Fully managed, serverless data warehouse and analysis environment as a Platform-as-a-Service (PaaS). BigQuery is optimized for the analysis of data in the petabyte range with SQL-like syntax.

Data Management & Storage
● Databases & Access Engines
– Data Intelligence, Data Catalogs and Marketplaces
– Data Operations
– Data Pipelining and Data Quality

= covered

About Google BigQuery

Self-description of the vendor

No vendor self-description available
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Google BigQuery User Reviews & Experiences

The information contained in this section is based on user feedback and actual experience with Google BigQuery.

The information and figures are largely drawn from BARC’s The BI & Analytics Survey, The Planning Survey, The Financial Consolidation Survey and The Data Management Survey. You can find out more about these surveys by clicking on the relevant links.

Who uses Google BigQuery in a data management context and how

Why users buy Google BigQuery and what problems they have using it

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Full user reviews and KPI results for Google BigQuery

All key figures for Google BigQuery at a glance.

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Individual user reviews for Google BigQuery

Role
Senior Manager of Data Science
Number of employees
More than 2.500
Industry
Retail
Source
BARC Panel, The Data Management Survey 25, 03/2024
What do you like best?

Simplicity and integration.

What do you like least/what could be improved?

Cost.

What key advice would you give to other companies looking to introduce/use the product?

Consider other tools like AWS and Azure.

How would you sum up your experience?

Good but sometimes expensive.

Role
Consultant
Number of employees
More than 2.500
Industry
Manufacturing
Source
BARC Marketing, The Data Management Survey 25, 04/2024
What do you like best?

It is fast.

What do you like least/what could be improved?

Developers are complaining about the SQL dialect.

What key advice would you give to other companies looking to introduce/use the product?

It works best if you have very large sets of data.

How would you sum up your experience?

It worked well for our customer's use case, but I would not recommend it to small or mid-size companies.

Survey Information
Number of reviews for Google BigQuery
18
Reviewed versions
100% latest cloud version
Peer groups in the survey
Cloud Data Platforms
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