GetApp offers objective, independent research and verified user reviews. We may earn a referral fee when you visit a vendor through our links.
Our commitment
Independent research methodology
Our researchers use a mix of verified reviews, independent research, and objective methodologies to bring you selection and ranking information you can trust. While we may earn a referral fee when you visit a provider through our links or speak to an advisor, this has no influence on our research or methodology.
How GetApp verifies reviews
GetApp carefully verified over 2 million reviews to bring you authentic software experiences from real users. Our human moderators verify that reviewers are real people and that reviews are authentic. They use leading tech to analyze text quality and to detect plagiarism and generative AI.
How GetApp ensures transparency
GetApp lists all providers across its website—not just those that pay us—so that users can make informed purchase decisions. GetApp is free for users. Software providers pay us for sponsored profiles to receive web traffic and sales opportunities. Sponsored profiles include a link-out icon that takes users to the provider’s website.

Google Cloud BigQuery
Serverless and Multi-cloud Data Warehouse
Last updated: January 2025
Table of Contents
Google Cloud BigQuery - 2025 Pricing, Features, Reviews & Alternatives
Starting from
5
Per month
Alternatives with better value for money
Google Cloud BigQuery's key features
Most critical features, based on insights from Google Cloud BigQuery users:
All Google Cloud BigQuery features
Features rating:
Google Cloud BigQuery alternatives
Google Cloud BigQuery pricing
Value for money rating:
Starting from
5
Per month
Usage Based
Google Cloud BigQuery integrations (115)
Integrations rated by users
We looked through 29 user reviews, to identify which products are mentioned as Google Cloud BigQuery integrations, and what is the users perception.
“Google Analytics can be used to collect and analyze website data, while BigQuery can be used to store and analyze that data at scale. BigQuery can be used to join data from Google Analytics with other data sources and perform advanced analysis on it. Additionally, BigQuery can be used to store historical data for longer term analysis, and to perform analysis on large data sets not possible in Google Analytics.”
“Incredibly simple connection between GA and BigQuery. The raw (export) data takes a little time to get used to, but it is potentially very powerful. ”
“we can know that if our clients use it, to dedicate more development to it and what does not have as much use, we can stop working”
“Technically, I use GA4, but it wasn't an option to select. But GA4 and BQ natively integrate. ”
Rishikumar Patel
Student
“Google Cloud Storage can be used to store large amounts of data, while BigQuery can be used to analyze that data. BigQuery can directly read data from Google Cloud Storage in various file formats, allowing for efficient analysis of stored data. Additionally, BigQuery can be used to store the results of analysis, and to store a backup copy of the data for disaster recovery.”
Rishikumar Patel
Student
“Integration of BigQuery with Qlik Sense makes data migration and data transfer more effective”
Muhammad Faisal
Chief Internal Auditor
“we can obtain the data of the interaction of our clients with mobile devices and process it very easily”
Luis Madrigal
Data Analyst
“Some data is not in tables, ERPs and other systems. I need to put some way in tables and so one. Working with Google Docs as a data source for Google Big Query is very easy too.”

Anonymous Reviewer
Sales Strategy and Operations
“We needed to use Pipedrive's API to bring sales data to Google Data Studio.”

Anonymous Reviewer
Sales Strategy and Operations
“Tableau is a data visualization tool, while BigQuery is a data warehousing and analytics tool. Tableau can connect to BigQuery and use it as a data source, allowing users to create visualizations and perform analysis on the data stored in BigQuery. Additionally, Tableau can leverage BigQuery's ability to handle large datasets and perform advanced analysis, and also tableau can schedule queries to run on BigQuery for regular updates of the visualizations.”
Rishikumar Patel
Student
Google Cloud BigQuery support options
Typical customers
Platforms supported
Support options
Training options
Google Cloud BigQuery reviews
Overall rating
4.8
/5
29
Positive reviews
97
%
- Value for money
- Ease of use
- Features
- Customer support
- Likelihood to recommend9.1/10
23
5
1
0
0
Google Cloud BigQuery FAQs
Google Cloud BigQuery has the following pricing plans:
Starting from: $2000.00/month
Pricing model: Free, Subscription
Free Trial: Available
These products have better value for money
Q. Who are the typical users of Google Cloud BigQuery?
Google Cloud BigQuery has the following typical customers:
Freelancers, Large Enterprises, Mid Size Business, Small Business
Q. What languages does Google Cloud BigQuery support?
Google Cloud BigQuery supports the following languages:
English, Chinese (Simplified), French, German, Italian, Japanese, Korean, Portuguese, Spanish
Q. Does Google Cloud BigQuery offer an API?
Yes, Google Cloud BigQuery has an API available for use.
Q. What other apps does Google Cloud BigQuery integrate with?
Google Cloud BigQuery integrates with the following applications:
Vertex AI, Google Analytics 360, Looker, Google Cloud Compute Engine, Google Ads, Google Data Studio, Google Cloud Bigtable
Q. What level of support does Google Cloud BigQuery offer?
Google Cloud BigQuery offers the following support options:
Email/Help Desk, FAQs/Forum, Knowledge Base, Phone Support, Chat