---
title: "BigQuery Software Pricing, Alternatives & More 2026 | Capterra"
description: "With the help of Capterra, learn about BigQuery Software - reviews, pricing plans, popular comparisons to other Data Warehouse products and more."
source_url: "https://www.capterra.com/p/268689/Google-Cloud-BigQuery/"
page_type: "product"
language: "en"
publication_date: "2026-09-29"
---

# 

 BigQuery Software Review 2026: Features, Integrations, Pros & Cons

Last updated on September 29, 2026

Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team.

[Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[Features](#features)[Pricing](#pricing)[Integrations](#integrations)[Support](#support)[Reviews](#reviews)

BigQuery

## What is 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. Beyond traditional tables, use BigQuery Graph to uncover complex relationships and patterns in your data. Build sophisticated context-retrieval and RAG applications with embeddings and vector, text, or hybrid search to find information based on meaning, not just keywords.

## What is BigQuery used for?

[Data Warehouse](https://www.capterra.com/data-warehouse-software/)[Data Analysis](https://www.capterra.com/data-analysis-software/)[Business Intelligence](https://www.capterra.com/business-intelligence-software/)

Overall rating

Based on 37 user reviews

Reviews sentiment

Positive

95%

Neutral

5%

Negative

0%

Starting price

$6.25

Usage Based, Per Month

Free trial  
available

Capterra Shortlist charts the highest-rated and most popular products...

Our "Best of" badge program showcases products with the highest ratings...

Our "Best of" badge program showcases products with the highest ratings...

## BigQuery alternatives

Highest Rated

[Google Cloud](https://www.capterra.com/p/268690/Google-Cloud-Platform/)

[4.7 (2,341)](https://www.capterra.com/p/268690/Google-Cloud-Platform/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

96%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/268690/Google-Cloud-Platform/)

[4.5 (26)](https://www.capterra.com/p/162524/DataTap/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

96%

of reviewers

rated it above 4 stars

[Snowflake](https://www.capterra.com/p/148267/Snowflake/)

[4.7 (97)](https://www.capterra.com/p/148267/Snowflake/reviews/)

Starting price

$23.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

97%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/148267/Snowflake/)

[Oracle Database](https://www.capterra.com/p/5938/Oracle-Database/)

[4.6 (473)](https://www.capterra.com/p/5938/Oracle-Database/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

94%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/5938/Oracle-Database/)

[View all alternatives](https://www.capterra.com/p/268689/Google-Cloud-BigQuery/alternatives/)

## FAQs about BigQuery

Overview

### Which roles and teams benefit most from BigQuery?

BigQuery is most used by data analysts, analytics engineers, and data engineers who query large datasets, build reporting models, and prepare data for business decisions. Software developers and IT operations teams support application data and system reporting, while marketing, sales operations, product, risk, and inventory teams analyze performance, customer activity, and operational trends.

Answer based on 37 reviews

Overview

### What company size and industries is BigQuery built for?

BigQuery is built for organizations of all sizes to break down data silos, with small businesses representing 59% of reviewers. It also serves enterprises at 27% and midsize businesses at 14%. Its leading industries are Information Technology and Services at 14%, plus Marketing and Advertising and Computer Software at 11% each.

Answer based on 37 reviews

Features and Usability

### What are the key features of BigQuery?

BigQuery offers data warehousing, ad hoc query and reporting, real-time analytics, and high-volume batch processing. It also includes ETL, data integration, data transformation, and data cleansing, plus AI/Machine Learning features such as model training, predictive analytics, and time series analysis. Access controls and role-based permissions support secure data management.

Pricing

### How much does it cost and what fees or limitations are included?

BigQuery offers a free tier with 1 TB of monthly queries and 10 GB of storage, plus a free trial. Compute analysis costs $6.25 per TB processed after the first free TB, with up to 2,000 concurrent slots. Reviewers find pay-per-use cost-effective but warn frequent, heavy, or unoptimized queries can raise costs quickly.

Answer based on 16 reviews

Integrations

### Which third-party tools and platforms does BigQuery integrate with?

BigQuery integrates with over 40 integrations, including Google Data Studio, Google Analytics 360, Looker, Google Ads, Google Campaign Manager 360, Google Cloud Bigtable, and Airbyte. Reviewer-confirmed connections emphasize analytics visualization and reporting through Data Studio and Looker, plus web analytics data exports from Google Analytics 360.

Answer based on 21 reviews

Getting Started and Support

### What training and onboarding options does BigQuery offer?

BigQuery provides documentation and videos to help teams get started. Documentation offers written reference material for setup and feature guidance, while videos provide visual walkthroughs that users can follow at their own pace.

Answer based on 6 reviews

Getting Started and Support

### What customer support options does BigQuery offer?

BigQuery provides Email/Help Desk, FAQ/Forum, Knowledge Base, Phone Support, and Chat. Support appears heavily used, with customers creating many tickets for BigQuery-related issues, which suggests frequent demand for assistance. The available channels give users multiple ways to seek help, though support interactions may involve a significant ticket volume.

Answer based on 1 reviews

Features and Usability

### How easy is BigQuery's user interface to navigate?

BigQuery provides a generally straightforward SQL workspace for querying datasets and managing tables, especially for teams already using Google Cloud. Many data professionals find navigation and query execution simple, but projects with many datasets or open query tabs can become confusing. Built-in visualization and customization options also feel limited to some users.

Answer based on 10 reviews

Features and Usability

### Is BigQuery easy to use for data analysis?

BigQuery offers an accessible starting point for SQL querying and data loading, but advanced work requires technical knowledge. Teams familiar with Google Cloud often find setup, table management, and basic queries manageable. New analysts may face a learning curve with SQL, query optimization, pricing, debugging, schema changes, and maintaining saved or scheduled queries.

Answer based on 10 reviews

## Features

AI summary

Based on 334 Data Warehouse reviews

Capterra reviewers say these are the features buyers focus on most when choosing a data warehouse:

-   **Multiple Data Sources** (**64%** of reviewers rated this feature as critical)
-   **Data Capture and Transfer** (**52%**)
-   **Data Connectors** (**58%**)

BigQuery supports **Multiple Data Sources** and **Data Connectors**, so teams can bring together data from different systems and connect their warehouse to the tools they already use. However, it does not offer **Data Capture and Transfer**. Instead, it provides other highly rated capabilities, including **Data Storage Management** (**66%**), **Secure Data Storage** (**65%**), and **Access Controls/Permissions** (**49%**). These features help businesses manage growing data volumes, protect sensitive information, and control who can view or update data, allowing teams to maintain a reliable and secure analytics environment.

Multiple Data Sources

4.6 (13)

84.62% of 13 reviewers that rated this feature as important or highly important

Allows users to manage data from a number of sources

Data Connectors

4.5 (22)

95.45% of 22 reviewers that rated this feature as important or highly important

Connect to big data sources

Access Controls/Permissions

4.7 (10)

100.00% of 10 reviewers that rated this feature as important or highly important

Define levels of authorization for access to specific files or systems

Data Visualization

3.9 (16)

62.50% of 16 reviewers that rated this feature as important or highly important

Graphical representation of data

Data Import/Export

4.7 (11)

81.82% of 11 reviewers that rated this feature as important or highly important

Import and export data to and from software applications

Ad hoc Reporting

4.8 (8)

87.50% of 8 reviewers that rated this feature as important or highly important

Generate one-off reports that meet information requirements

BigQuery 61 features

### All Features
- Access Controls/Permissions: Define levels of authorization for access to specific files or systems
- Ad hoc Query: One-off queries made on an as-needed basis
- Ad hoc Reporting: Generate one-off reports that meet information requirements
- AI/Machine Learning: Software program that continuously adjusts its behavior based on observed data
- Auto Extraction: Automatically capture data from documents, records, or other online sources
- Batch Processing: Software's ability to perform similar action on multiple similar files simultaneously
- Charting: Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.
- Collaboration Tools: Provides a channel for team members to share AI models, media files, communicate, and work together
- Configurable Workflow: Configure existing workflows to meet your organization's needs
- Configuration Management: Identify component attributes like servers, hardware, software, and manage relationships across all services
- Customizable Templates: Pre-designed layouts that can be customized to match preferences and requirements
- Dashboard Creation: Creation and customization of dashboards
- Data Aggregation and Publishing: Assemble data from multiple sources
- Data Classification: Grouping log entries based on similar attributes.
- Data Cleansing: Removes data that is incomplete, inaccurate, or irrelevant from a dataset
- Data Clustering: Clustering or grouping objects based on data similarities
- Data Connectors: Connect to big data sources
- Data Discovery: Discover and connect variety of data sources to the application for analysis
- Data Import/Export: Import and export data to and from software applications
- Data Integration: Combining data from different sources and providing a unified view
- Data Management: Ability to handle large datasets
- Data Migration: Move from one database to another, or upgrade the version of database software being used
- Data Mining: AI method of discovering or extracting data patterns from larger volumes of data
- Data Replication: Process of copying and storing data in more than one site or node
- Data Transformation: Translate EDI formats into data suitable for use with company applications.
- Data Visualization: Graphical representation of data
- Data Warehousing: Central repositories of integrated data from various sources
- Database Support: Supports common databases such as MySQL and Oracle
- Decision Support: Tools that provide relevant information at specific times to support judgments and courses of action
- Deep Learning: Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data.
- Demand Forecasting: Forecast customer demand using historical insights and simulations
- ETL - Extract Transfer Load: Process of extracting and moving data from multiple sources to a single and unified database
- For Education: Used for educational purposes
- For Healthcare: Software designed for the healthcare industry
- For Retail: For Retail Stores
- Forecasting: Form predictions based on past and present data/trends
- Full Text Search: Search for specific words or phrases within a document or database
- High Volume Processing: Process and analyze large volume of data
- In-Database Processing: Blending and analysis of large data sets without moving data out of a database.
- ML Algorithm Library: Share, track, and store machine learning models and data.
- Model Training: Process of testing an ML algorithm by feeding it training data to learn from
- Modeling & Simulation: Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making
- Multi-Language: Manage and support multiple languages
- Multiple Data Sources: Allows users to manage data from a number of sources
- Parallel Processing: Running multiple processors to handle separate parts of an overall task and manage complex tasks/computations.
- Performance Management: Organize and manage the accomplishments and development of employees or performance of applications or systems
- Performance Metrics: A set of indicators that tracks the performance of networks, applications, systems, teams, etc.
- Predictive Analytics: Predict future data based on historical data sets
- Real-Time Analytics: Analyze and gain insights into data in real-time
- Real-Time Data: Receive data and information in real time
- Real-Time Reporting: Active reporting of data and metrics
- Role-Based Permissions: Set & manage permission levels based on user roles and restrict access to only authorized individuals
- Self-service Analytics: Generate reports on your own without IT involvement
- Sentiment Analysis: Categorize emotions expressed and identify if they are positive, negative or neutral
- Single Sign On: Allow users to access multiple services after entering their login credentials once
- Templates: Sample files or documents that could be customized as needed or used as is
- Third-Party Integrations: Set up connections to third-party platforms to improve business processes
- Time Series Analysis: Series of data points indexed in time order
- Trend Analysis: Review data from past periods to reveal recurring tendencies and predict future performance
- Workflow Automation: Streamlining repetitive tasks and activities through automated and predefined workflows
- Workflow Management: Create, design and manage workflows for repetitive tasks

---

Get Advice

We can help you find the software with the features you need.

Features

4.6 (37)

4.6

Based on 37 reviews

## Pricing

Value for money

4.2 (29)

Free Trial

Free Version

[View pricing plan details](https://www.capterra.com/p/268689/Google-Cloud-BigQuery/pricing/)

Free Tier

$0.00

It includes:

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

Compute (analysis)

$6.25

Usage Based,Per Month

It includes:

-   Access to up to 2,000 concurrent slots

Storage (Logical storage)

$0.01

Flat Rate,Per Month

Data ingestion

$0.00

Data extraction

$0.00

Agents

$3.00

Per Feature,One Time

Value for money

4.2 (29)

4.2

Based on 29 reviews

## Integrations

[

Google Analytics 360](https://www.capterra.com/p/177042/Google-Analytics/)[

Google Cloud](https://www.capterra.com/p/268690/Google-Cloud-Platform/)[

Google Maps](https://www.capterra.com/p/227511/Google-Maps/)[

Google Ads](https://www.capterra.com/p/213339/Google-Ads/)[

Built](https://www.capterra.com/p/164380/Built-for-Teams/)[

Google Data Studio](https://www.capterra.com/p/190616/Data-Studio/)[

Looker](https://www.capterra.com/p/169053/Looker/)[

Kit](https://www.capterra.com/p/175000/ConvertKit/)

Connect with a Capterra advisor for a free 15-minute consultation

Get a personalized software list aligned to your business needs with guidance from our expert advisors. Our team has helped 1 million+ businesses like yours find options that fit their needs.

## Support, customer service and training options

Customer Service

3.9 (29)

Support

-   Email/Help Desk
-   FAQs/Forum
-   Knowledge Base
-   Phone Support
-   24/7 (Live rep)
-   Chat

Training

-   In Person
-   Live Online
-   Webinars
-   Documentation
-   Videos

Deployment

-   Web
-   Android
-   iPhone/iPad

Typical users

-   Freelancers
-   Small businesses
-   Mid size businesses
-   Enterprises

Customer Service

3.9 (29)

3.9

Based on 29 reviews

## User reviews

Overall rating

4.6

Based on 37 reviews

Filter by rating

5(25)

4(10)

3(2)

2(0)

1(0)

Mentioned topic

Sorted by most recent

David V.

Lead Developer

Information Technology and Services

### "A Powerful Data Tool"

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

5.0

5.0

Customer Service

4.0

4.0

Likelihood to Recommend

8/10

July 30, 2026

Overall it's been a positive experience with some frustrating moments of troubleshooting connections, but the power of this tool can't be denied.

Pros

BigQuery makes it easy to sift through massive amounts of data and organize in a customized way for multiple clients and use cases. It's an extremely powerful tool.

Cons

Getting used to running queries and piping data in and out was a learning curve for me, but Ai has helped bridge that gap a lot and help us provide reporting faster.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

GI

Gabriel I.

BA

Financial Services

### "High-Speed Data Warehouse "

5.0

Overall Rating

5.0

5.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

4.0

4.0

Likelihood to Recommend

8/10

July 3, 2026

Google Cloud BigQuery is an outstanding solution for organizations handling substantial volumes of analytical data. Its speed, scalability, and minimal maintenance requirements make it an excellent choice for modern data teams.

Pros

BigQuery processes massive datasets exceptionally quickly while eliminating much of the infrastructure management associated with traditional databases. SQL support is familiar, and automation features simplify recurring analytical workloads.

Cons

Costs can increase rapidly if queries are not optimized. Users unfamiliar with cloud-based data warehouses may also need time to understand pricing and best practices.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

SP

Sudhakar P.

Data Engineer

Banking

### "Big query for modernization "

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

5.0

5.0

Likelihood to Recommend

8/10

February 11, 2026

It is good tool especially dealing with mainframe data types such as comp and comp 3. The orc file format handling is awesome

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.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AT

Alex T.

User Acquisition Analyst

Computer Games

### "Our datawarehouse"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

0.0

0.0

Likelihood to Recommend

10/10

January 5, 2026

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.

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.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

KG

Kelley G.

Data Scientist

Construction

### "Fast and Powerful, But Watch the Costs"

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

5.0

5.0

Customer Service

4.0

4.0

Likelihood to Recommend

10/10

December 1, 2025

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.

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.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

RC

Ryan C.

Analytics Manager

Real Estate

### "Money grab for the most part"

3.0

Overall Rating

3.0

3.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

1.0

1.0

Likelihood to Recommend

6/10

November 3, 2025

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

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

Jim C.

Lead application support analyst

Information Technology and Services

### "BQ experience from point of view of GCP tech support lead"

4.0

Overall Rating

4.0

4.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

4.0

4.0

Likelihood to Recommend

7/10

October 29, 2025

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.

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.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

Sachin B.

Data Analyst

Food & Beverages

### "Powerful, Scalable, and Insightful Data Analytics Platform"

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

4.0

4.0

Likelihood to Recommend

9/10

October 21, 2025

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.

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.

Switched from

[Snowflake](https://www.capterra.com/p/148267/Snowflake/)

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.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

PK

Pranav K.

Data Analyst

Automotive

### "My review for Google Cloud BigQuery"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

January 22, 2025

Overall Google Cloud BigQuery is very good for data analysis and getting actionable insights from the raw data.

Pros

The things I liked most about Google Cloud BigQuery are the robust data extraction and columnar data storing.

Cons

The thing I dislike about Google Cloud BigQuery is the longer time taking to handle big data.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

EG

Erika G.

Data Analyst

Information Technology and Services

### "GBQ is a good Choice "

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

7/10

January 3, 2025

Pros

Super fast! Can handle tons of data in seconds. No worries about it slowing down. Works well with other Google stuff

Cons

Pricing is a bit confusing. Not easy to know how much it will cost. Interface could be better

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

[View all Reviews](https://www.capterra.com/p/268689/Google-Cloud-BigQuery/reviews/)

## Top-rated software of 2026

### Fill out the form and we'll send a list of the top-rated software based on real user reviews directly to your inbox.