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Compare Google Cloud BigQuery and Power Query 
Featured Products
At a Glance
Market Segments
Enterprise (38.1% of reviews)
Mid-Market (50.0% of reviews)
Entry-Level Pricing
Free
No pricing available
Google Cloud BigQuery
Star Rating
(1,208)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansPower Query
Star Rating
(16)4.4 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Power QuerySummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in overall performance, boasting a significantly higher satisfaction score compared to Power Query. Users appreciate its serverless architecture and ability to handle large datasets efficiently, allowing for smooth data analysis without the hassle of managing infrastructure.
- Users say that Power Query shines in its user-friendly interface, making it an excellent choice for those who prefer a straightforward tool for data transformation. Reviewers highlight its intuitive design that enables users to perform complex data manipulations without needing extensive coding knowledge.
- According to verified reviews, Google Cloud BigQuery's scalability is a standout feature, with users noting its pay-as-you-go model that simplifies operations and supports experimentation with larger datasets. This flexibility is particularly beneficial for enterprises looking to optimize their data processing costs.
- Reviewers mention that while Power Query is effective for mid-market users, it has a limited number of reviews, which may indicate less widespread adoption compared to BigQuery. Users appreciate its 24/7 support but may find it less robust for handling extensive data workloads.
- G2 reviewers highlight that both products receive similar ratings for ease of use, but BigQuery's advanced features, such as BigQuery ML for machine learning integration, provide a more comprehensive solution for data professionals looking to leverage AI capabilities.
- Users report that Google Cloud BigQuery's recent updates and features, such as enhanced SQL support, contribute to its high satisfaction ratings, while Power Query's feedback suggests it remains a solid choice for users focused on basic data entry and transformation tasks.
Pricing
Entry-Level Pricing
Google Cloud BigQuery
Free
Free
New customers get $300 in free Google Cloud credits to spend on BigQuery with free trial sign-up.
- 10 GB storage
- Up to 1 TB queries per month
Power Query
No pricing availableFree Trial
Google Cloud BigQuery
Free Trial is available
Power Query
No trial information availableRatings
Meets Requirements
8.8
616
8.6
15
Ease of Use
8.7
632
8.9
16
Ease of Setup
8.8
407
8.3
5
Ease of Admin
8.5
224
Not enough data
Quality of Support
8.4
565
8.6
14
Has the product been a good partner in doing business?
8.6
217
Not enough data
Product Direction (% positive)
9.3
605
10.0
16
Features by Category
Management
8.6
121
9.0
14
8.3
119
8.5
14
Functionality
9.0
119
8.6
15
9.1
123
9.0
15
9.0
123
8.3
14
8.9
122
8.8
14
9.3
122
8.5
14
Data Management
8.9
220
|
Verified
Not enough data
8.3
210
|
Verified
Not enough data
8.9
215
|
Verified
Not enough data
8.6
215
|
Verified
Not enough data
8.3
203
|
Verified
Not enough data
8.7
200
|
Verified
Not enough data
Integration
8.5
202
|
Verified
Not enough data
8.6
213
|
Verified
Not enough data
8.6
200
|
Verified
Not enough data
Deployment
7.7
186
|
Verified
Not enough data
9.1
216
|
Verified
Not enough data
Performance
9.1
224
|
Verified
Not enough data
Security
8.7
207
|
Verified
Not enough data
9.1
213
|
Verified
Not enough data
Generative AI
7.6
127
Not enough data
7.8
124
Not enough data
Storage
9.1
70
Not enough data
8.8
70
Not enough data
Availability
8.4
62
Not enough data
8.5
66
Not enough data
8.6
68
Not enough data
Performance
8.5
65
Not enough data
Security
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Not enough data
Support
8.7
66
Not enough data
8.9
66
Not enough data
Centralized computation
9.1
27
Not enough data
Localized computation
8.5
28
Not enough data
Statistical Tool
8.7
78
Not enough data
9.0
78
Not enough data
8.8
79
Not enough data
Data Analysis
9.3
78
Not enough data
9.1
79
Not enough data
Decision Making
8.8
79
Not enough data
8.7
77
Not enough data
8.7
79
Not enough data
8.7
77
Not enough data
Generative AI
7.5
50
Not enough data
7.8
50
Not enough data
Marketing Operations
8.8
65
Not enough data
9.2
64
Not enough data
8.9
64
Not enough data
9.4
65
Not enough data
8.8
63
Not enough data
8.4
62
Not enough data
Campaign Activity
9.1
67
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
61
Not enough data
8.9
62
Not enough data
9.0
64
Not enough data
Agentic AI - Marketing Analytics
8.7
15
Not enough data
9.6
15
Not enough data
8.2
15
Not enough data
Database
8.8
175
Not enough data
8.9
173
Not enough data
8.7
167
Not enough data
Integrations
8.4
136
Not enough data
8.5
133
Not enough data
Platform
8.9
151
Not enough data
8.9
165
Not enough data
8.5
133
Not enough data
Processing
9.2
168
Not enough data
9.1
161
Not enough data
Data Transformation
8.8
283
Not enough data
9.3
293
Not enough data
Connectivity
8.1
251
Not enough data
8.2
249
Not enough data
8.7
278
Not enough data
8.7
269
Not enough data
Operations
8.5
278
Not enough data
8.7
277
Not enough data
8.3
255
Not enough data
8.4
262
Not enough data
8.5
254
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Google Cloud BigQuery and Power Query are categorized as ETL Tools
Unique Categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Power Query has no unique categories
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Power Query
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
16.2%
Computer Software
13.5%
Retail
7.1%
Financial Services
6.4%
Marketing and Advertising
5.1%
Other
51.7%
Financial Services
12.5%
Transportation/Trucking/Railroad
6.3%
Telecommunications
6.3%
Retail
6.3%
Non-Profit Organization Management
6.3%
Other
62.5%
Alternatives
Discussions
Is Big Query free?
3 Comments
BG
noRead more
Is BigQuery part of Google Cloud Platform?
2 Comments
AY
Yes, Bigquery is a GCP product and a serveless data wharehouse.Read more
How BQ legacy SQl is different form the standard SQL?
1 Comment
OD
Legacy SQL is a non-standard SQL only used by BigQuery. Standard SQL is compliant with the SQL 2011.
Google recommends using Standard SQL and looking at the...Read more
Power Query has no discussions with answers
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