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Google Cloud BigQuery

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Google Cloud BigQuery 2026: Benefits, Features & Pricing

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On this page
  • Overview
  • Pricing and Plans
  • Features
  • Integrations
  • User Reviews

Overview

Google Cloud BigQuery
Google Cloud BigQuery
4.6
(34)

Pricing

Starting at $5.00 per month

About Google Cloud BigQuery

BigQuery is a serverless data warehouse designed that makes querying large datasets easy and fast by enabling massively parallel processing of terabytes of data in seconds. BigQuery is great for analytics workloads spanning multiple dimensions, including time-series data, nested data, and geographical data.

Google Cloud BigQuery Screenshots

0
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Google Cloud BigQuery Pricing and Plans

Starting price: $5.00 per month
Free Trial
Free Version

Free

Pricing available upon request

Plan includes:

  • 10 GB storage per month
  • 1 TB queries per month

On Demand Pricing

$5.00

usage based, per month

No plan information available

    Monthly Flat Rate

    $2,000.00

    flat rate, per month

    No plan information available

      Annual Flat Rate

      $1,700.00

      flat rate, per month

      No plan information available

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        Google Cloud BigQuery Features

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

        Google Cloud BigQuery Integrations

        Google Analytics 360
        Google Analytics 360
        Looker
        Looker
        Google Ads
        Google Ads
        Google Data Studio
        Google Data Studio
        Google Cloud Compute Engine
        Google Cloud Compute Engine
        Vertex AI
        Vertex AI

        Google Cloud BigQuery User Reviews

        Overall Rating

        4.6

        Ratings Breakdown

        5

        71%

        4

        24%

        3

        6%

        2

        0%

        1

        0%

        Secondary Ratings

        Ease of Use

        4.4

        Value for money

        4.2

        Customer support

        3.9

        Functionality

        4.7

        Have you used Google Cloud BigQuery and would like to share your experience with others?

        Sachin's profile

        Sachin B.

        Verified reviewer

        Food & Beverages

        11-50 employees

        Used weekly for free trial

        Review source

        Reviewed October 2025

        Powerful, Scalable, and Insightful Data Analytics Platform

        4

        Google Cloud BigQuery provides fast, scalable, and fully-managed data warehousing, making it easy to analyze large datasets without worrying about infrastructure. Its SQL interface and seamless integration with other Google Cloud services simplify data analysis and dashboard creation.

        Ratings Breakdown

        4
        Ease of use
        3
        Value for money
        4
        Customer support
        4
        Functionality
        icon
        Pros:
        Extremely fast query performance on massive datasets. Fully managed—no need to maintain infrastructure. Easy integration with tools like Data Studio, Looker and AI/ML pipelines. Supports standard SQL, making it easy for analysts.
        Cons:
        Cost can grow quickly with frequent queries if not monitored. Learning curve for complex analytics and optimization techniques.

        Reasons for switching to Google Cloud BigQuery

        I switched to Google Cloud BigQuery for its fully managed, serverless architecture, which allows fast and cost-efficient querying of large datasets. It also offers seamless integration with other Google Cloud services.

        Read More

        Vaibhav's profile

        Vaibhav G.

        Verified reviewer

        Computer Software

        11-50 employees

        Used weekly for less than 12 months

        Review source

        Reviewed December 2024

        Review of BigQuery Query Execution and Use Cases.

        5

        Free Tier access, query execution on the free tier, connection of Big Query from other market tools and best of the best we can directly connect with Google Sheet. It is very to use and implement into software using data stream to connect with databases as well.

        Ratings Breakdown

        5
        Ease of use
        5
        Value for money
        4
        Customer support
        5
        Functionality
        icon
        Pros:
        It is very help full to store large unstructured data and further etl the data and used for analytics.
        Cons:
        For Beginners it is costly. Overall very fast and reliable.

        Reasons for switching to Google Cloud BigQuery

        Fast Synchronization and Data Stream From Google Cloud SQL

        Read More

        KG

        Kelley G.

        Verified reviewer

        Construction

        51-200 employees

        Used daily for less than 12 months

        Review source

        Reviewed December 2025

        Fast and Powerful, But Watch the Costs

        4

        Overall it’s been very solid. It handles large data with no issues, performs well, and integrates nicely with dashboards and pipelines. There’s a bit of a learning curve and some cost management to watch, but once you get the hang of it, it’s a powerful tool.

        Ratings Breakdown

        4
        Ease of use
        3
        Value for money
        4
        Customer support
        5
        Functionality
        icon
        Pros:
        The speed and scale are the biggest advantages. Queries run fast even on huge datasets, and it’s easy to connect to other Google Cloud tools. The interface is straightforward, and managing tables or running SQL feels smooth.
        Cons:
        The pricing can get confusing, especially when queries get heavy. It’s easy to run up costs if you’re not careful. Some features also feel hidden behind menus or require extra setup steps.

        Read More

        RC

        Ryan C.

        Verified reviewer

        Real Estate

        51-200 employees

        Used weekly for more than 2 years

        Review source

        Reviewed November 2025

        Money grab for the most part

        3

        Ratings Breakdown

        5
        Ease of use
        1
        Value for money
        1
        Customer support
        5
        Functionality
        icon
        Pros:
        Decent tool to query unsampled GA4 data, but wouldn't need to use it as much if GA provided unsampled data to begin with.
        Cons:
        Seems to autosave queries these days which isn't a feature I would like to have turned on automatically since I can't review past code. Also cost is high... very high

        Read More

        PC

        Pratik C.

        Verified reviewer

        Computer Software

        2-10 employees

        Used daily for less than 12 months

        Review source

        Reviewed December 2024

        Worth a try for datawarehousing loads

        5

        Ratings Breakdown

        5
        Ease of use
        5
        Value for money
        4
        Customer support
        4
        Functionality
        icon
        Pros:
        Free 1TB compute User friendly web UI Amazing web SQL editor
        Cons:
        I can't find anything wrong with biguery

        Reasons for choosing Google Cloud BigQuery

        Easy onboarding for smaller teams Free compute allowed my team to experiment a lot with BigQuery

        Read More

        VR

        Verified
        Reviewer

        Logistics and Supply Chain

        201-500 employees

        Used weekly for more than 2 years

        Review source

        Reviewed June 2022

        Great serverless cloud data warehouse

        4

        We used BigQuery to analyze firebase events data from our mobile apps. Considering the sheer volume of this dataset, querying has been mostly very fast and reliable, albeit at a high cost.

        Ratings Breakdown

        5
        Ease of use
        3
        Value for money
        4
        Functionality
        icon
        Pros:
        I like the serverless nature of BigQuery. It takes away most of the maintenance costs involved in maintaining and fine-tuning a data warehouse.
        Cons:
        I didn't really like the on-demand pricing of BigQuery. Monthly costs tend to blow up excessively. I think they have a different pricing option now to resolve this though.

        Reasons for choosing Google Cloud BigQuery

        BigQuery has a native integration with Firebase.

        Read More

        Jim's profile

        Jim C.

        Verified reviewer

        Information Technology and Services

        10000+ employees

        Used daily for more than 2 years

        Review source

        Reviewed October 2025

        BQ experience from point of view of GCP tech support lead

        4

        I was a GCP technical support team lead for 3 years, so BQ was a very important tool with high usage, customers created lots of tickets for it.

        Ratings Breakdown

        5
        Ease of use
        4
        Value for money
        4
        Customer support
        5
        Functionality
        icon
        Pros:
        I can easily do the BQ query and load in UI, when I wanted to debug, I can easily batch load using CSV or connect to streaming connector, then query like normal SQL.
        Cons:
        The physical storage, unlike traditional RDBMS, I can easily understand the physical design, the BQ internally stored in a platform named colossus, it's like a blackbox for engineer.

        Read More

        AT

        Alex T.

        Verified reviewer

        Computer Games

        11-50 employees

        Used weekly for more than 2 years

        Review source

        Reviewed January 2026

        Our datawarehouse

        5

        We integrate BigQuery with all our data analysis software to store all the raw data from all our products. Which we can then analyze as well as make custom dashboards with external tools like PowerBI.

        Ratings Breakdown

        5
        Ease of use
        5
        Functionality
        icon
        Pros:
        It stores all our data. It is very easy to access and use SQL to query the data and great to integrate with PowerBI for custom dashboards.
        Cons:
        I don't have anything negative to say about BigQuery. It delivers what it promises and is easy enough to use.

        Read More

        BH

        Bryan H.

        Verified reviewer

        Marketing and Advertising

        11-50 employees

        Used daily for more than 2 years

        Review source

        Reviewed September 2024

        GBQ is an analysts best friend

        5

        GBQ powers a lot of our analysis tooling and reps use it directly with Python to make their own custom flows.

        Ratings Breakdown

        5
        Ease of use
        5
        Value for money
        5
        Customer support
        5
        Functionality
        icon
        Pros:
        Literally everything. GBQ takes tasks like partitioning, building feeds from/to other systems simple, fine-grain access controls, plugs into Looker like a dream, built in connectors for other Google products (Search console, GA)
        Cons:
        The permission-ing for GBQ can sometimes be vague depending on what the user is needing/wanting to do. Some roles require items that you think would be included in higher access level roles (I'm looking at you BigQuery Job User role).

        Read More

        Andres Ernesto's profile

        Andres Ernesto L.

        Verified reviewer

        Computer Software

        10000+ employees

        Used daily for more than 2 years

        Review source

        Reviewed November 2023

        Good tool

        5

        I use this tool daily and it meets my expectations, easy to create jobs in the form of scheduled queries, easy import of data from Google Sheets, integration with Google GAS and many other advantages that I have discovered

        Ratings Breakdown

        5
        Ease of use
        5
        Value for money
        5
        Customer support
        5
        Functionality
        icon
        Pros:
        importing information from Google Sheets seems like a super advantage to me, as does the ability to execute large queries without affecting performance.
        Cons:
        I have no complaints about the tool so far

        Read More

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