--- 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 & Product Details

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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.

* * *

Product Website
Google Cloud BigQuery
Seller
[Google](https://www.g2.com/sellers/google)
Discussions
[Google Cloud BigQuery Community](https://www.g2.com/products/google-cloud-bigquery/discuss)
Solution Type

All-in-One

Overview by
Alena Ageeva

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## Pricing

Pricing provided by BigQuery.

### Free

Free

### Standard

$0.04

[
View More Pricing Information
](https://www.g2.com/products/google-cloud-bigquery/pricing)

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## Google Cloud BigQuery Integrations
(26)

What do users say about integrations?

Verified by Google Cloud BigQuery

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 ![Reetika P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Reetika P.")
RP

Reetika P.

Quality engineer

Mid-Market (51-1000 emp.)

6/14/2026

"Easy-to-Use Cloud Tool with Shareable, Saved Queries"

4/5

What do you like best about Google Cloud BigQuery?

It’s easy to use, and it’s available on the cloud, so it doesn’t take up hardware space. The best part is that we have the option to save our queries and share them as well. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

It’s mainly familiar with BigQuery, since its native environment is Google Cloud. Sometimes queries run slowly, especially when working with complex tables. By default, we can only see the first 50 rows, and it really should show more. Also, when we copy the output, we’re only able to copy some of the records instead of the full result set. We can append records, but we can’t update or delete them. Review collected by and hosted on G2.com.

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

I use it for my ETL testing, since we ingest data from Mongo into BQ, and then the main fact tables in the analytical layers are used in Databricks. It benefits me because it runs in the cloud and doesn’t require any hardware space on my side. Overall, the queries work well for my testing needs. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerSource: Organic

 ![Dhanush R.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Dhanush R.")
DR

Dhanush R.

Senior Technical Customer Success Manager

Mid-Market (51-1000 emp.)

4/3/2025

"Good Experience Using BigQuery for Data Quality and Reconciliation Workloads"

4/5

What do you like best about Google Cloud BigQuery?

BigQuery helped us process and validate large-scale enterprise data much faster during data quality and reconciliation workloads. I regularly used it alongside Spark jobs and analytics pipelines, and its fast query execution reduced the time required for troubleshooting and validation significantly. One thing I liked was that we could scale workloads without worrying much about infrastructure management, which made operations simpler for large data environments. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

One limitation I’ve noticed is that BigQuery is excellent for analytics and large-scale querying, but pipeline orchestration and workflow creation aren’t as straightforward as they are in tools like Azure Data Factory. For certain enterprise data quality and reconciliation use cases, I found that additional tools were still needed to manage end-to-end workflows, integrations, and overall coordination more efficiently. Review collected by and hosted on G2.com.

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

BigQuery helped us solve large-scale data processing, validation, and reconciliation challenges across enterprise data pipelines. In Acceldata (the company where I explicitly used BigQuery) environments, it enabled us to run data quality checks, analyze large datasets quickly, and spot pipeline issues sooner. As a result, monitoring improved, troubleshooting time went down, and overall data operations became more efficient. Review collected by and hosted on G2.com.

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5/15/2026
Validated ReviewerIncentivizedSource: G2 invite

 ![Sean T.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Sean T.")
ST

Sean T.

Head of Marketing

Small-Business (50 or fewer emp.)

4/29/2026

"Advanced Analytics Potential, But Setup Challenges"

3.5/5

What do you like best about Google Cloud BigQuery?

I like that we can connect Google Cloud BigQuery to data sources easily - in particular Google sources like GA and Ads. I also appreciate how we can build queries and schedule them, which is super convenient. It’s also great that we can run queries that generate their own data. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

It's quite complicated to set up initially, and Google Cloud in general has a very confusing interface, especially when it comes to user permissions because there are hundreds of different permissions that are quite complex and tricky. Depending on the geolocation of your data, it's sometimes hard to run a query in one location that can't see your dataset in another location, which is quite confusing. Review collected by and hosted on G2.com.

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

Google Cloud BigQuery connects well with Google Ads and Analytics, allowing us to do advanced analytics. I appreciate how easily we can connect it to data sources, build queries, schedule them, and generate new data. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Yuvraj S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Yuvraj S.")
YS

Yuvraj S.

Manager Flight Operations

Aviation & Aerospace

Mid-Market (51-1000 emp.)

6/7/2026

"Robust Analytics, Costly but Worth It"

4/5

What do you like best about Google Cloud BigQuery?

I use Google Cloud BigQuery to handle data and records for internal departments, and it supports me with almost near real-time data analytics, which is crucial. I really like how it provides me with dashboards of real-time reports, making it so much easier to interpret data quickly. It's great that BigQuery eliminates the need for servers to scale the data inputs, as Google manages this automatically, which is a massive relief considering the scale of data in the airline industry. Additionally, Google makes the user interface very friendly, making the initial setup a smooth process. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

cost of using this is too high Review collected by and hosted on G2.com.

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

Google Cloud BigQuery supports me with almost near real-time data analytics, simplifies handling massive data records without server management, and provides easy access to data via real-time dashboards. Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic

 ![Rusira S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Rusira S.")
RS

Rusira S.

Video Editor | Motion Graphics

Small-Business (50 or fewer emp.)

4/25/2026

"Handles Massive Data Smoothly, with AI Features That Feel Like Airtable"

4/5

What do you like best about Google Cloud BigQuery?

It allows us to keep millions or tens of millions of data without affecting the performances of our queries and its now improved with AI features that really make a data warehouse feel like an airtable! Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

The interface and the UI is too complex for a starter. When I was starting I could not understand which does what. But its not a tool for beginners.

The other thing is performance for small scale projects. If your project is small scale, expect 1min + query times for a single select query with only 100 records. The queries are optimized for larger scale, so you might feel those kind of delays here and there.

Its pricing is okay but has a vendor lock in situation when you put more and more data in it. Fortunately we havent gone that far, but I feel like being a place to collect millions or billions of data, going for another provider can of course be a nightmare. If they keep pricing the same that wont be a big issue. Review collected by and hosted on G2.com.

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

We had a tracking system that monitored hundreds of clients’ marketing-platform data points across Google Ads, Analytics, FB Ads, TikTok Ads, and similar sources. All of this data was stored in a BigQuery warehouse, and we ran processing algorithms and related workflows directly through BigQuery.

It stores all the data without any issues and the performance when accessing some of the data is really very good compared to some of the other alternatives we tried. Also having the access from Google Workspace from anywhere in the world is also a good option. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Mateo K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Mateo K.")
MK

Mateo K.

AI Product Manager

Computer Software

Small-Business (50 or fewer emp.)

4/10/2026

"Affordable and Fast, could do with Better AI Features"

4/5

What do you like best about Google Cloud BigQuery?

I like that Google Cloud BigQuery is free if you're not operating on a big scale, which is great because we use it without paying for it. I'd also say the user experience is pretty decent. Additionally, I think the initial setup was pretty quick. Compared to other services, it was probably the fastest. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

The AI features aren't very good, so I end up using external AI services to write queries. There's also multiple ways of doing the same things and it's not super clear which one's best. Sometimes, I think the UX could be a bit more clear on what the best ways of operating would be. The fact that you have to do a certification or a course to learn how to use the product shows that the product is not as intuitive as it could be. Review collected by and hosted on G2.com.

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

I use Google Cloud BigQuery to store and transform data for easy reporting in Looker Studio. Review collected by and hosted on G2.com.

Show More

Validated ReviewerIncentivizedSource: G2 invite

 ![Alok K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Alok K.")
AK

Alok K.

Software Engineer

Small-Business (50 or fewer emp.)

1/20/2026

"Effortless, Lightning-Fast Analytics with BigQuery’s Serverless Scaling"

4/5

What do you like best about Google Cloud BigQuery?

BigQuery's serverless architecture and lightning-fast SQL query performance on massive datasets is exceptional. The seamless integration with Google Cloud Platform tools and automatic scaling makes data analytics effortless without managing infrastructure. Built-in machine learning capabilities and real-time analytics have transformed our data workflows significantly. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

The pricing model can become expensive for large-scale queries without proper optimization and cost monitoring. The learning curve for advanced features and query optimization techniques requires time investment. Limited support for certain data types and occasional complexity in debugging nested queries could be improved for better developer experience. Review collected by and hosted on G2.com.

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

BigQuery has solved our massive data processing bottlenecks by enabling real-time analysis of terabytes of data that previously took hours to process. This has accelerated our decision-making process, reduced infrastructure costs by eliminating the need for on-premise data warehouses, and empowered our team to run complex analytical queries without waiting for IT support. The serverless model has transformed how we handle data at scale. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerSource: Organic

 ![Deividas .](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Deividas .")
D

Deividas .

Senior Solutions Developer

Small-Business (50 or fewer emp.)

3/4/2026

"Powerful Data Management, But Steep Learning Curve"

3.5/5

What do you like best about Google Cloud BigQuery?

I like the policy tags on the column level and the structure of Google Cloud BigQuery. Having datasets with tables and views inside them offers a better structure for managing my data. This setup makes data easy to use and helps differentiate between different data types while keeping everything organized. Policy tags are great because they allow correct data distribution to the right people without needing to create separate tables. Integrating Dataform is also easier with this structured approach. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

I find that row filtering could be improved to allow using structured columns from a reference table to apply row filtering, which isn't possible currently and made us create expensive workarounds. There are some performance hiccups here and there, and the GCP BigQuery UI can sometimes be overwhelming, with too many things popping up on the screen. Using BigQuery libraries, especially the BigQuery API for Java, was slightly difficult to understand at first, so perhaps a bit better documentation could help, especially around authorization. Also, the initial setup was difficult to understand at first without previous knowledge. Review collected by and hosted on G2.com.

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

Google Cloud BigQuery helps manage large datasets and control access, enabling me to create and share views. It aids in filtering and analyzing data efficiently. Review collected by and hosted on G2.com.

Show More

Validated ReviewerIncentivizedSource: G2 invite

 ![Simone B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Simone B.")
SB

Simone B.

Data Engineer

Mid-Market (51-1000 emp.)

3/14/2026

"Fast, Scalable Serverless Analytics That Fits Seamlessly into Google Cloud"

4/5

What do you like best about Google Cloud BigQuery?

Very easy to use and implement due to its serverless architecture. It provides many built-in features for large-scale analytics, integrates well with other services in Google Cloud, and is reliable for frequent data analysis workloads. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

Query costs can be difficult to predict with frequent use, and some advanced integrations or optimizations require additional services within Google Cloud. Customer support and troubleshooting can also depend on the selected support tier. Review collected by and hosted on G2.com.

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

Google Cloud BigQuery enables fast analysis of very large datasets without managing infrastructure. It simplifies data processing, improves integration with other services in Google Cloud, and allows teams to run frequent analytics queries efficiently for reporting and decision-making. Review collected by and hosted on G2.com.

Show More

Current UserValidated ReviewerIncentivizedSource: G2 invite

 ![Ayush V.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Ayush V.")
AV

Ayush V.

Growth Acquisition Manager

Small-Business (50 or fewer emp.)

4/10/2026

"Robust Data Handling with Room for UI Improvement"

3.5/5

What do you like best about Google Cloud BigQuery?

I like that Google Cloud BigQuery can handle big tables easily, and I can integrate it with other Google products like GA4 or Looker Dashboard. Fetching and processing traffic data from Google Analytics was super easy for me. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

Although I know the product is technical, it could have an easier UI so that it would be much easier for beginners or people with low tech expertise. There could have been several improvements like a tool tip explaining what each button is used for, some knowledge base, or an AI bot to help people out. Review collected by and hosted on G2.com.

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

It handles huge databases and allows me to extract data using SQL. I like its ability to manage big tables and integrate with Google Analytics and Looker Dashboard, making data processing super easy. Review collected by and hosted on G2.com.

Show More

Validated ReviewerIncentivizedSource: G2 invite

## Questions about Google Cloud BigQuery? Ask real users or explore answers from the community

Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights.

[
Ask about Google Cloud BigQuery
](https://www.g2.com/products/google-cloud-bigquery/discussions/new)

GU

Guest User
•
Last activity 7 months ago

Is Big Query free?

1 Upvote

3

[
Join the conversation
](https://www.g2.com/discussions/is-big-query-free)

GU

Guest User
•
Last activity 7 months ago

Is BigQuery part of Google Cloud Platform?

2 Upvotes

2

[
Join the conversation
](https://www.g2.com/discussions/is-bigquery-part-of-google-cloud-platform)

[
View all Discussions
](https://www.g2.com/products/google-cloud-bigquery/discuss)

## Pricing Options

Pricing provided by BigQuery.

### Free

Free

### Standard

$0.04

### Enterprise

$0.06

[
View More Pricing Information
](https://www.g2.com/products/google-cloud-bigquery/pricing)

Google Cloud BigQuery Comparisons

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4.6/5(764)

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4.6/5(1,363)

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4.3/5(404)

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##### 
##### Google Cloud BigQuery Features

Data Transformation

Real-Time Analytics

Data Querying

Connectivity

Hadoop Integration

Spark Integration

Multi-Source Analysis

Operations

Data Visualization

Data Workflow

Governed Discovery

Data Management

Data Integration

Built-In Data Analytics

[
View More Features
](https://www.g2.com/products/google-cloud-bigquery/features)

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