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Google Cloud BigQuery Logo

Serverless and Multi-cloud Data Warehouse

Last updated: January 2025

Table of Contents

Google Cloud BigQuery - 2025 Pricing, Features, Reviews & Alternatives

What is Google Cloud BigQuery?

BigQuery is a serverless and multi-cloud data warehouse designed to help users turn big data into valuable business insights. Users can query structured data without the need to store it or load it into their own systems first. BigQuery provides advanced features such as nested, repeated and compressed columnar data storage.

Benefits of using Google Cloud BigQuery

Built-in machine learning: BigQuery ML enables data scientists and data analysts to build and operationalize ML models on planet-scale structured, semi-structured, and now unstructured data directly inside BigQuery, using simple SQL—in a fraction of the time. Export BigQuery ML models for online prediction into Vertex AI or your own serving layer. Learn more about the models we currently support.

Analyze and share data across clouds: BigQuery Omni is a fully managed, multicloud analytics solution that allows for cost-effective and secure data analysis across clouds and shares results within a single pane of glass. Within BigQuery Analytics Hub, securely exchange data assets internally and across organizations without data movement and enhance analysis with commercial, public, and Google datasets.

Real-time analytics with built-in query acceleration: BigQuery has built-in capabilities that ingest streaming data and make it immediately available to query, along with native integrations to streaming products like Dataflow. Analyze large datasets interactively with BigQuery BI Engine, an in-memory analysis service that offers sub-second query response time and high concurrency. BI Engine natively integrates with Looker Studio and works with many BI tools, including Connected Sheets.

Unify, manage, and govern all types of data: Query all data types with BigQuery: structured, semi-structured and unstructured. Use BigLake to explore and unify different data types and build advanced models. Centrally discover, manage, monitor, and govern data across data lakes, data warehouses, and data marts with consistent controls with Dataplex, an intelligent data fabric that enables organizations to provide access to trusted data.

Geospatial analysis with BigQuery: BigQuery geospatial uniquely combines the serverless architecture of BigQuery with native support for geospatial analysis, so you can augment your analytics workflows with location intelligence. Simplify your analyses, see spatial data in fresh ways, and unlock entirely new lines of business with support for arbitrary points, lines, polygons, and multi-polygons in common geospatial data formats.

Spreadsheet interface: Connected Sheets allows users to analyze billions of rows of live BigQuery data in Google Sheets without requiring SQL knowledge. Users can apply familiar tools—like pivot tables, charts, and formulas—to easily derive insights from big data. Learn more about Connected Sheets in the getting started guide.

Real-time change data capture and replication: Synchronize data across heterogeneous databases, storage systems, and applications reliably and with minimal latency with Datastream. Datastream integrates with purpose-built and extensible Dataflow templates to pull change streams written to Cloud Storage, and create up-to-date replicated tables in BigQuery for real-time analytics.

Standard SQL: BigQuery supports a standard SQL dialect that is ANSI:2011 compliant, which reduces the need for code rewrites. BigQuery also provides ODBC and JDBC drivers at no cost to ensure your current applications can interact with its powerful engine.

Materialized Views: Accelerate query performance and reduce costs within your environment with BigQuery materialized views. It is easy to set up, effortless to use, and best of all it's real time, allowing you to quickly get answers to your questions.

Petabyte scale: Get great performance on your data, while knowing you can scale seamlessly to store and analyze petabytes to exabytes of data with ease.

Data governance and security: BigQuery's integration with security and privacy services from Google Cloud provides strong security and fine-grained governance controls, down to the column-level and row-level. Rest assured knowing your data is encrypted at rest and in transit by default.

Public datasets: Google Cloud Public Datasets offer a powerful data repository of more than 200 high-demand public datasets from different industries.

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:

Data Connectors
Data Visualization
Dashboard
Data Discovery
Access Controls/Permissions
Data Import/Export

All Google Cloud BigQuery features

Features rating:

Data Migration
Multiple Data Sources
Ad hoc Reporting
Batch Processing
ML Algorithm Library
Self-service Analytics
Data Transformation
Real-Time Analytics
Data Aggregation and Publishing
ETL - Extract Transfer Load
Predictive Analytics
Dashboard Creation
In-Database Processing
Multi-Language
Modeling & Simulation
Model Training
In-Memory Processing
High Volume Processing
Forecasting
Parallel Processing
Process/Workflow Automation
Real-Time Data
Real-Time Reporting
Role-Based Permissions
Sentiment Analysis
Templates
Third-Party Integrations
Time Series Analysis
Trend Analysis
Workflow Management
Ad hoc Analysis
Ad hoc Query
AI/Machine Learning
Auto Extraction
Charting
Collaboration Tools
Configurable Workflow
Configuration Management
Customizable Templates
Data Classification
Data Cleansing
Data Clustering
Data Integration
Data Management
Data Mining
Data Warehousing
Database Support
Decision Support
Deep Learning
Demand Forecasting
For Education
For Healthcare
For Retail

Google Cloud BigQuery alternatives

Google Cloud BigQuery logo
4.8
(29)

Starting from

5

Per month

Free trial
Free version
Ease of Use
Features
Value for Money
Customer Support
Adverity logo
4.5
(26)
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ic-pricetag

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Free trial
Free version
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Alteryx Designer logo
4.8
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ic-pricetag

No pricing info

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Free version
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Value for Money
Customer Support
AnswerRocket logo
4.6
(15)
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Starting from

75000

Per year

Free trial
Free version
Ease of Use
Features
Value for Money
Customer Support

Google Cloud BigQuery pricing

Value for money rating:

Starting from

5

Per month

Usage Based

Pricing details
Subscription
Free trial
Free plan
Pricing range

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.

Integration rating: 5.0 (4)

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.

RP

Rishikumar Patel

Student

1/4

Integration rating: 4.5 (2)

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.

RP

Rishikumar Patel

Student

Qlik Sense logo
Qlik Sense

Integration rating: 4.0 (1)

Integration of BigQuery with Qlik Sense makes data migration and data transfer more effective

MF

Muhammad Faisal

Chief Internal Auditor

Firebase logo
Firebase

Integration rating: 5.0 (1)

we can obtain the data of the interaction of our clients with mobile devices and process it very easily

LM

Luis Madrigal

Data Analyst

Google Docs logo
Google Docs

Integration rating: 5.0 (1)

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.

AvatarImg

Anonymous Reviewer

Sales Strategy and Operations

Pipedrive logo
Pipedrive

Integration rating: 5.0 (1)

We needed to use Pipedrive's API to bring sales data to Google Data Studio.

AvatarImg

Anonymous Reviewer

Sales Strategy and Operations

Tableau logo
Tableau

Integration rating: 5.0 (1)

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.

RP

Rishikumar Patel

Student

Integration rating: 4.3 (3)

Google Cloud logo
Google Cloud

Integration rating: 1.0 (1)

Google Drive logo
Google Drive

Integration rating: 5.0 (1)

Gmail logo
Gmail

Integration rating: 5.0 (1)

Integration rating: 4.0 (1)

Integration rating: 5.0 (1)

Slack logo
Slack

Integration rating: 3.0 (1)

Google Cloud BigQuery support options

Typical customers

Freelancers
Small businesses
Mid size businesses
Large enterprises

Platforms supported

Web
Android
iPhone/iPad

Support options

Email/Help Desk
FAQs/Forum
Knowledge Base
Phone Support
Chat

Training options

Documentation
Videos

Google Cloud BigQuery reviews

Overall rating

4.8

/5

29

Positive reviews

97

%

Rating breakdown
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend9.1/10
Rating distribution

5

4

3

2

1

23

5

1

0

0

Pros
The sandbox supports up to 4 ( I think) projects that you can work on for free. This is great for people who are just starting out and BigQuery is very affordable as a whole.
My overall experience has been wonderful. It's easy to set up and use, and Google even has training for how to use it on Coursera at a pretty cheap price.
There are a great many other softwires available in the Google Cloud that connect directly to BQ, so the whole system is set up to expand its usefulness without needing to buy more software.
Cons
Currently loading up multiple datasets on the same project and / or opening multiple tabs for queries makes everything really confusing and hard to navigate.
Once the table is created it is difficult to edit the columns, so you have to delete it.
We have also built a dashboard where we make a conciliation of our clients' data, in case something goes wrong, we immediately realize what is happening.

Google Cloud BigQuery FAQs

Q. What type of pricing plans does Google Cloud BigQuery offer?

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

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