---
description: Get detailed information about Google Cloud BigQuery and how it can help you meet your business needs. Learn more about Google Cloud BigQuery price, benefits, and disadvantages for businesses in Singapore.
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title: Google Cloud BigQuery Pricing, Cost & Reviews - Capterra Singapore 2026
---

Breadcrumb: [Home](/) > [Data Analysis Software](/directory/31077/data-analysis/software) > [Google Cloud BigQuery](/software/1030695/google-cloud-bigquery)

# Google Cloud BigQuery

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> BigQuery is a serverless, multicloud data warehouse designed to help you turn big data into valuable business.
> 
> Verdict: Rated **4.6/5** by 35 users. Top-rated for **Likelihood to recommend**.

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## Overview

### Who Uses Google Cloud BigQuery?

BigQuery helps organizations of all sizes break down data silos and get more value out of their data.

## Quick Stats & Ratings

| Metric | Rating | Detail |
| **Overall** | **4.6/5** | 35 Reviews |
| Ease of Use | 4.4/5 | Based on overall reviews |
| Customer Support | 3.9/5 | Based on overall reviews |
| Value for Money | 4.2/5 | Based on overall reviews |
| Features | 4.7/5 | Based on overall reviews |
| Recommendation percentage | 90% | (9/10 Likelihood to recommend) |

## About the vendor

- **Company**: Google

## Commercial Context

- **Starting Price**: US$2,000.00
- **Pricing model**: Flat Rate (Free version available) (Free Trial)
- **Pricing Details**: Free Trial: New customers get $300 in free credits to spend on BigQuery during the first 90 days.&#10;Free Usage per Month: All customers get 10 GB storage and up to 1 TB queries free per month, not charged against their credits.&#10;General Pricing: BigQuery charges for data storage, streaming inserts, and querying data, but loading and exporting data are free of charge.&#10;• Storage: $0.02 per GB, per month and $0.01 per GB, per month for long-term storage&#10;• Streaming inserts: $0.01 per 200 MB
- **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+
- **Deployment & Platforms**: Cloud, SaaS, Web-based
- **Supported Languages**: Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Spanish
- **Available Countries**: Afghanistan, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Antigua & Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium and 208 more

## Features

- Ad hoc Analysis
- Ad hoc Reporting
- Collaboration Tools
- Data Aggregation and Publishing
- Data Connectors
- Data Discovery
- Data Import/Export
- Data Integration
- Data Migration
- Data Visualization
- Data Warehousing
- Database Support
- Deep Learning
- ETL - Extract Transfer Load
- Forecasting
- High Volume Processing
- In-Memory Processing
- ML Algorithm Library
- Model Training
- Modeling & Simulation
- Multiple Data Sources
- Predictive Analytics
- Self-service Analytics
- Third-Party Integrations
- Trend Analysis
- Workflow Management

## Integrations (8 total)

- Google Ads
- Google Analytics 360
- Google Campaign Manager 360
- Google Cloud Bigtable
- Google Cloud Compute Engine
- Google Data Studio
- Looker
- Vertex AI

## Support Options

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

## Category

- [Data Analysis Software](https://www.capterra.com.sg/directory/31077/data-analysis/software)

## Related Categories

- [Data Analysis Software](https://www.capterra.com.sg/directory/31077/data-analysis/software)
- [Machine Learning Software](https://www.capterra.com.sg/directory/31103/machine-learning/software)
- [Predictive Analytics Software](https://www.capterra.com.sg/directory/30945/predictive-analytics/software)
- [Big Data Software](https://www.capterra.com.sg/directory/30851/big-data/software)
- [Business Intelligence Tools](https://www.capterra.com.sg/directory/23/business-intelligence/software)

## Alternatives

1. [Minitab](https://www.capterra.com.sg/software/109731/minitab-statistical-software) — 4.5/5 (388 reviews)
2. [Microsoft Power BI](https://www.capterra.com.sg/software/176586/power-bi) — 4.6/5 (1870 reviews)
3. [Google Analytics 360](https://www.capterra.com.sg/software/177042/google-analytics) — 4.7/5 (8089 reviews)
4. [Tableau](https://www.capterra.com.sg/software/77260/tableau) — 4.6/5 (2348 reviews)
5. [Google Cloud](https://www.capterra.com.sg/software/170983/google-cloud-platform) — 4.7/5 (2262 reviews)

## Reviews

### "Powerful, Scalable, and Insightful Data Analytics Platform" — 4.0/5

> **Sachin** | *21 October 2025* | Food & Beverages | Recommendation rating: 9.0/10
> 
> **Pros**: Extremely fast query performance on massive datasets.&#10;Fully managed—no need to maintain infrastructure.&#10;Easy integration with tools like Data Studio, Looker and AI/ML pipelines.&#10;Supports standard SQL, making it easy for analysts.
> 
> **Cons**: Cost can grow quickly with frequent queries if not monitored.&#10;Learning curve for complex analytics and optimization techniques.
> 
> 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.

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### "Review of BigQuery Query Execution and Use Cases." — 5.0/5

> **Vaibhav** | *24 December 2024* | Computer Software | Recommendation rating: 9.0/10
> 
> **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.
> 
> 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.

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### "Big query for modernization" — 4.0/5

> **Sudhakar** | *11 February 2026* | Banking | Recommendation rating: 8.0/10
> 
> **Pros**: This database is integrated with mainframes using BQConhector tool and easy to load data from mainframe to bigquery
> 
> **Cons**: Some times data gets lost while upgrading the database. And not all customers get all the special features.
> 
> It is good tool especially dealing with mainframe data types such as comp and comp 3. The orc file format handling is awesome

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### "Money grab for the most part" — 3.0/5

> **Ryan** | *3 November 2025* | Real Estate | Recommendation rating: 6.0/10
> 
> **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

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### "Fast and Powerful, But Watch the Costs" — 4.0/5

> **Kelley** | *1 December 2025* | Construction | Recommendation rating: 10.0/10
> 
> **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.
> 
> 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.

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