---
title: Google Cloud BigQuery Reviews
meta_title: 'Google Cloud BigQuery Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 1224 reviews by the users' company size, role or industry
  to find out how Google Cloud BigQuery works for a business like yours.
aggregate_rating:
  rating_value: 4.5
  review_count: 1224
  scale: '5'
date_modified: '2026-08-07'
parent_category:
  name: IT Infrastructure
  url: https://www.g2.com/categories/it-infrastructure
---


# Google Cloud BigQuery Reviews
**Vendor:** Google  
**Category:** [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse)  
**Average Rating:** 4.5/5.0  
**Total Reviews:** 1,224
## About Google Cloud BigQuery
BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.



## Google Cloud BigQuery Pros & Cons
**What users like:**

- Users appreciate the **ease of use** of Google Cloud BigQuery, enabling quick analysis of massive datasets without hassle. (129 reviews)
- Users appreciate the **exceptional speed** of BigQuery, allowing for quick processing of large datasets seamlessly. (126 reviews)
- Users love the **easy integration** with Google Cloud services, enabling smooth data analysis and management. (110 reviews)
- Users appreciate the **fast querying capabilities** of Google Cloud BigQuery, allowing effortless analysis of massive datasets. (105 reviews)
- Users appreciate the **query efficiency** of BigQuery, effortlessly processing complex queries on massive datasets with speed. (100 reviews)
- Users appreciate the **scalability** of Google Cloud BigQuery, efficiently handling large datasets and providing fast performance. (99 reviews)
- Easy Integrations (91 reviews)
- Large Datasets (87 reviews)
- Efficiency Improvement (75 reviews)
- Performance (74 reviews)

**What users dislike:**

- Users find the **costs can escalate quickly** with Google Cloud BigQuery, requiring careful query optimization to manage expenses. (112 reviews)
- Users struggle with **query issues** in BigQuery, facing rising costs and challenges in query optimization and troubleshooting. (65 reviews)
- Users find **cost management challenging** with Google Cloud BigQuery due to unpredictable pricing and incidents of unexpected charges. (52 reviews)
- Users experience **cost issues** with Google Cloud BigQuery, struggling with unexpected high bills and limited pricing visibility. (51 reviews)
- Users find the **steep learning curve** of Google Cloud BigQuery challenging, particularly for advanced features and optimization techniques. (49 reviews)
- Expensive Queries (47 reviews)
- Cost Estimation (40 reviews)
- Slow Performance (34 reviews)
- Slow Queries (27 reviews)
- UX Improvement (24 reviews)

## Google Cloud BigQuery Reviews
  ### 1. Frustrating limitations that slow down analytics outcomes

**Rating:** 1.5/5.0 stars

**Reviewed by:** Chris H. | Analytics Manager, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 09, 2023

**What do you like best about Google Cloud BigQuery?**

Pros:
The integration with Google Drive is excellent. Extremely easy to get ad-hoc data into your data warehouse and to get queries out to a google drive file. 

Easy to set up and monitor scheduled queries and use those tables for more complex needs w/o re-running labor-intensive (and high-cost) queries repeatedly.

**What do you dislike about Google Cloud BigQuery?**

Cons: 
Resource limits. Because of how Google Cloud BigQuery uses nodes, typical SQL processes involving window functions can fail. We've regularly hit resources exceeded limits on data sets of a few million records, which seems absurd these days. Additionally, BigQuery can struggle with multiple CTEs, leading to us running more queries as tables vs. views. Doing so created greater complexity in orchestration that's a challenge to manage. 

Limited documentation or help. When we've run into resource limit issues, there has been a lack of support in online articles as well as direct assistance. You have to be on a certain service tier to get a Google employee to help - which we aren't. And there are few to no official posts about how to handle the resource limit issue, so all our knowledge comes from other users who have experienced the same.

Given that BigQuery is designed for SQL queries, I cannot recommend it with these significant challenges that have caused my team days of delay.

**What problems is Google Cloud BigQuery solving and how is that benefiting you?**

Single storage location for all our data, including ad-hoc tables (ingested via Google Sheets). 

Destination for all ingested data and transformations, which allows us to know what we have access to and what we don't.

  ### 2. BigQuery with JSON files

**Rating:** 2.0/5.0 stars

**Reviewed by:** Sergio S. | Marketing Digital y Analista de Datos, Small-Business (50 or fewer emp.)

**Reviewed Date:** January 19, 2018

**What do you like best about Google Cloud BigQuery?**

What I like the most is the console to query the tables that I upload to the platform.

**What do you dislike about Google Cloud BigQuery?**

I hate that when you automatically generate the schema of a JSON file it does not allow you to export it. (I mean, download the schema that the platform has automatically generated in JSON format)

**Recommendations to others considering Google Cloud BigQuery:**

I recommend this page to configure your JSON files.

https://opensourcegeeko.wordpress.com/2015/02/12/bigquery-with-json/

**What problems is Google Cloud BigQuery solving and how is that benefiting you?**

I analyze the databases that we have stored in google cloud storage.

  ### 3. BigQuery

**Rating:** 1.5/5.0 stars

**Reviewed by:** Timothy W. | Technical Account Manager, Marketing and Advertising, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 07, 2016

**What do you like best about Google Cloud BigQuery?**

There is a lot of information that can be gathered, if you know how to use the product

**What do you dislike about Google Cloud BigQuery?**

This has a very high learning curve. I started from using MySQL, but still find this product to be a bit hard to learn. The costs associated with each report run can also become very expensive, very fast.

**Recommendations to others considering Google Cloud BigQuery:**

Support is very minimal, and I believe a lot of engineering support is required on your end to implement

**What problems is Google Cloud BigQuery solving and how is that benefiting you?**

We don't have a great backend reporting system, so BigQuery eliminates the engineering time to bring everything together.


## Google Cloud BigQuery Discussions
  - [Is BigQuery part of Google Cloud Platform?](https://www.g2.com/discussions/is-bigquery-part-of-google-cloud-platform) - 2 comments, 2 upvotes
  - [Is Big Query free?](https://www.g2.com/discussions/is-big-query-free) - 3 comments, 1 upvote
  - [When we can integrate](https://www.g2.com/discussions/when-we-can-integrate) - 1 comment, 1 upvote
  - [How BQ legacy SQl is different form the standard SQL?](https://www.g2.com/discussions/16021-how-bq-legacy-sql-is-different-form-the-standard-sql) - 1 comment, 1 upvote
  - [What is Google BigQuery based on?](https://www.g2.com/discussions/what-is-google-bigquery-based-on) - 1 comment

- [View Google Cloud BigQuery pricing details and edition comparison](https://www.g2.com/products/google-cloud-bigquery/reviews?filters%5Bnps_score%5D%5B%5D=2&section=pricing&secure%5Bexpires_at%5D=2026-08-09+06%3A43%3A55+-0500&secure%5Bsession_id%5D=86d7a830-6598-453a-af18-9886ff029bbd&secure%5Btoken%5D=2cc77d0a7dd1959aab314e7b710552775a0c35a2ccece3c0f09c9fa653b61d85&format=llm_user)
## Google Cloud BigQuery Integrations
  - [Ab Initio](https://www.g2.com/products/ab-initio/reviews)
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  - [Talend Cloud Data Integration](https://www.g2.com/products/talend-cloud-data-integration/reviews)

## Google Cloud BigQuery Features
**Management**
- Reporting
- Auditing

**Data Management**
- Data Integration
- Data Compression
- Data Quality
- Built-In Data Analytics
- In-Database Machine Learning
- Data Lake Analytics
- ETL - Extract Transfer Load
- Data Capture and Transfer
- Real-Time Analytics
- Reporting/Analytics

**Storage**
- Data Model
- Data Types

**Centralized computation**
- Centralized Computation

**Statistical Tool**
- Scripting
- Data Mining
- Algorithms

**Marketing Operations**
- ROI Tracking
- Data Collection
- Customer Insights
- Multi-User Access
- Spend Management
- White Label
- Multi-Channel Data Collection
- Engagement Tracking
- Keyword Tracking
- Behavior Tracking
- Campaign Tracking
- Conversion Tracking
- SEO Management
- Tag Management
- Real-Time Data
- Activity Tracking
- Click Tracking
- Contact Management
- Content Management
- Lead Management
- Email Management
- Campaign Management
- Channel Management
- Template Management
- Workflow Management

**Database**
- Real-Time Data Collection
- Data Distribution
- Data Lake

**Data Transformation**
- Real-Time Analytics
- Data Querying
- Reporting/Analytics
- Predictive Analytics
- Visual Analytics

**Functionality**
- Extraction
- Transformation
- Loading
- Automation
- Scalability
- Non-Relational Transformations
- Data Extraction

**Integration**
- AI/ ML Integration
- BI Tool Integration
- Data lake Integration

**Availability**
- Auto Sharding
- Auto Recovery
- Data Replication

**Localized computation**
- Localized computation

**Additional Functionality**
- Data Mapping
- Monitoring
- Charting
- Integration Management
- Reporting/Analytics
- Ad hoc Analysis
- Access Controls/Permissions
- API
- Match & Merge
- Real-Time Monitoring
- Metadata Management
- Pipeline Management
- Job Scheduling
- Dashboard Creation
- Data Storage Management
- Multiple Data Sources
- Data Import/Export
- Generative AI
- Data Quality Control
- Data Connectors
- Customizable Reports
- Single Sign On
- Version Control
- Visual Analytics
- Accounting Integration
- Real-Time Data
- eCommerce Management
- AI Copilot
- CRM
- Data Visualization
- SSL Security
- Search/Filter
- Real-Time Analytics
- Data Capture and Transfer
- Collaboration Tools
- Performance Management
- Data Synchronization
- Drag & Drop
- Data Replication
- Activity Dashboard
- Database Support
- Workflow Management
- Alerts/Notifications
- Predictive Analytics
- Data Migration
- Third-Party Integrations
- Reporting & Statistics
- Data Analysis Tools

**Data Analysis**
- Analysis
- Data Interaction
- Time Series Analysis
- Trend Analysis

**Integrations**
- Hadoop Integration
- Spark Integration

**Deployment**
- On-Premise
- Cloud

**Performance**
- Integrated Cache

**Decision Making**
- Modeling
- Data Visualizations
- Report Generation
- Data Unification
- Customizable Reports

**Campaign Activity**
- Campaign Insights
- Reports and Dashboards
- Campaign Stickiness
- Multichannel Tracking
- Brand Optimization
- Predictive Analytics
- Multi-Campaign
- Campaign Analytics
- Website Analytics
- Conversion Rate Optimization
- Drip Campaigns
- Visual Analytics
- Real-Time Analytics
- Customizable Reports

**Platform**
- Machine Scaling
- Data Preparation
- Spark Integration

**Connectivity**
- Hadoop Integration
- Spark Integration
- Multi-Source Analysis
- Data Lake
- Real-Time Data
- Data Capture and Transfer
- Trend Analysis
- What-if Analysis
- Statistical Analysis
- Data Blending
- Ad hoc Analysis
- Third-Party Integrations

**Performance **
- Scalability

**Security**
- Role-Based Authorization
- Authentication
- Audit Logs
- Encryption

**Agentic AI - Marketing Analytics**
- Autonomous Task Execution
- Cross-system Integration
- Proactive Assistance
- Third-Party Integrations
- Social Media Integration

**Additional Functionality**
- Event Marketing
- Social Promotion
- Multi-Channel Marketing
- Generative AI
- Data Import/Export
- Lead Generation
- Campaign Segmentation
- Customizable Forms
- Reporting & Statistics
- Monitoring
- AI Copilot
- Customizable Templates
- Email Templates
- Web Forms
- Lead Capture
- Customizable Branding
- Real-Time Reporting
- Campaign Planning
- A/B Testing
- CRM
- Customer Segmentation
- Campaign Scheduling
- Alerts/Notifications
- Autoresponders
- Drag & Drop
- Event Triggered Actions
- Email Marketing
- API
- Customizable Fields
- Contact Database
- Data Visualization
- Ad hoc Reporting
- Performance Metrics
- Data Source Connectors
- Search/Filter
- Multi-Channel Attribution
- Customer Journey Mapping
- KPI Monitoring
- Cohort Analysis

**Processing**
- Cloud Processing
- Workload Processing

**Operations**
- Data Visualization
- Data Workflow
- Governed Discovery
- Embedded Analytics
- Notebooks
- Data Discovery

**Security**
- Data Governance
- Data Security

**Support**
- Multi-Model
- Operating Systems

**Generative AI**
- AI Text Generation
- AI Text Summarization
- Generative AI

**Additional Functionality**
- Data Warehousing
- Drag & Drop
- Activity Dashboard
- Data Connectors
- Ad hoc Reporting
- Customizable Reports
- Alerts/Escalation
- Templates
- Forecasting
- Data Migration
- Data Transformation
- Access Controls/Permissions
- API
- Data Cleansing
- Data Synchronization
- AI Copilot
- Dashboard Creation
- Data Extraction
- Data Security
- SSL Security
- Collaboration Tools
- No-Code
- High Volume Processing
- Database Support
- Search/Filter
- Generative AI

**Additional Functionality**
- Demand Forecasting
- AI/Machine Learning
- Drag & Drop
- For Healthcare
- Forecasting
- Data Extraction
- Third-Party Integrations
- Decision Support
- Modeling & Simulation
- Alerts/Notifications
- Reporting/Analytics
- Multiple Data Sources
- For Retail
- For Education
- Data Discovery
- Graphical Workflow Editor
- Performance Metrics
- Business Rules Management
- AI Copilot
- Natural Language Processing
- Data Transformation
- Data Clustering
- API
- Data Blending
- Data Classification
- Workflow Management
- Workflow Automation

**Generative AI**
- AI Text Generation
- AI Text Summarization
- Generative AI

**Additional Functionality**
- Parallel Processing
- Ad hoc Analysis
- Multiple Data Sources
- API
- In-Database Processing
- Monitoring
- Real-Time Reporting
- Data Synchronization
- Real-Time Monitoring
- Data Connectors
- Performance Metrics
- Ad hoc Reporting
- Alerts/Notifications
- Access Controls/Permissions
- Drag & Drop
- Data Visualization
- Data Import/Export
- Match & Merge
- Data Transformation
- Secure Data Storage
- Data Extraction
- AI Copilot
- Customizable Reports
- Activity Dashboard
- Data Migration
- In-Memory Processing
- Data Mapping

**Building Reports**
- Data Transformation
- Data Modeling
- WYSIWYG Report Design
- Integration APIs
- Real-Time Data
- Real-Time Data
- Third-Party Integrations
- Third-Party Integrations

**Platform**
- Customization 
- User, Role, and Access Management
- Internationalization
- Sandbox / Test Environments
- Performance and Reliability
- Breadth of Partner Applications
- Mobile Access
- Metadata Management

## Top Google Cloud BigQuery Alternatives
  - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (713 reviews)
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