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- Google Cloud BigQuery
- ClickHouse-vs-Google Cloud BigQuery
Compare ClickHouse and Google Cloud BigQuery 
At a Glance
Market Segments
Small-Business (50.0% of reviews)
Enterprise (39.6% of reviews)
Entry-Level Pricing
Starting at $1.00 Per Month
Free
ClickHouse
Star Rating
(19)4.3 out of 5
Market Segments
Small-Business (50.0% of reviews)
Entry-Level Pricing
Starting at $1.00 Per Month
Learn more about ClickHouseGoogle Cloud BigQuery
Star Rating
(1,146)4.5 out of 5
Market Segments
Enterprise (39.6% of reviews)
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in its data integration capabilities, with a score of 9.0, allowing seamless connections to various data sources, while ClickHouse, with a score of 8.6, is noted for its Hadoop integration but lacks the same breadth of options.
- Reviewers mention that BigQuery's query language is highly rated at 9.3, making it user-friendly for complex queries, whereas ClickHouse also scores well at 9.0 but is sometimes seen as less intuitive for new users.
- G2 users highlight BigQuery's performance analysis capabilities, achieving a perfect score of 10.0, which is praised for its speed and efficiency in handling large datasets, while ClickHouse, although performant, has a lower score of 9.0, indicating room for improvement.
- Users on G2 report that BigQuery's data quality features score 8.8, ensuring reliable data processing, while ClickHouse, with a score of 8.9, is also strong but has been noted for occasional inconsistencies in data handling.
- Reviewers mention that BigQuery's built-in data analytics features score 8.6, providing robust analytical tools directly within the platform, while ClickHouse, although it offers analytics, does not have the same level of built-in functionality, leading to a score of 8.5.
- Users say that BigQuery's quality of support is rated at 8.3, with many praising the responsiveness and helpfulness of the support team, while ClickHouse, with a score of 8.5, is also well-regarded but has fewer reviews, indicating less user feedback on support experiences.
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Pricing
Entry-Level Pricing
ClickHouse
ClickHouse Pricing
Starting at $1.00
Per Month
Options for every user, organization, and use case.
- Up to 1 TB storage
- 16 GiB total memory
- Burstable CPU
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
Free Trial
ClickHouse
No trial information availableGoogle Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
8.8
10
8.8
565
Ease of Use
8.5
10
8.7
577
Ease of Setup
8.9
6
8.6
337
Ease of Admin
7.0
5
8.5
216
Quality of Support
8.5
8
8.3
519
Has the product been a good partner in doing business?
Not enough data
8.7
210
Product Direction (% positive)
10.0
9
9.2
554
Features by Category
Management
Not enough data
8.3
71
Not enough data
8.1
69
Functionality
Not enough data
8.7
69
Not enough data
8.8
72
Not enough data
8.8
72
Not enough data
8.8
73
Not enough data
9.2
72
Data Management
Not enough data
8.8
147
|
Verified
Not enough data
8.1
140
|
Verified
Not enough data
8.7
144
|
Verified
Not enough data
8.4
140
|
Verified
Not enough data
8.1
129
|
Verified
Not enough data
8.6
131
|
Verified
Integration
Not enough data
8.3
130
|
Verified
Not enough data
8.5
142
|
Verified
Not enough data
8.5
130
|
Verified
Deployment
Not enough data
7.6
118
|
Verified
Not enough data
9.0
141
|
Verified
Performance
Not enough data
9.1
145
|
Verified
Security
Not enough data
8.7
137
|
Verified
Not enough data
9.0
142
|
Verified
Generative AI
Not enough data
7.6
58
Not enough data
7.6
56
Management
9.4
6
Not enough data
7.9
7
Not enough data
9.3
7
Not enough data
9.4
6
Not enough data
10.0
5
Not enough data
Maintenance
8.8
7
Not enough data
7.8
6
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
9.3
5
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
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
Database Features
9.0
5
Not enough data
9.3
5
Not enough data
9.0
5
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.7
5
Not enough data
Storage
9.0
5
8.8
52
8.9
6
8.5
51
Availability
Feature Not Available
8.3
45
7.3
5
8.5
48
8.0
5
8.3
50
Performance
7.7
5
8.5
48
Security
Not enough data
8.4
52
Not enough data
8.5
51
Not enough data
8.3
50
Not enough data
8.5
46
Support
Not enough data
8.5
48
Not enough data
8.7
46
Centralized computation
Not enough data
8.3
11
Localized computation
Not enough data
8.1
12
Query latency
Not enough data
Not enough data
Not enough data
Not enough data
Data latency
Not enough data
Not enough data
Not enough data
Not enough data
Connectors
Not enough data
Not enough data
Not enough data
Not enough data
Scale
Not enough data
Not enough data
Not enough data
Not enough data
Architecture
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
8.6
52
Not enough data
9.0
54
Not enough data
8.7
53
Data Analysis
Not enough data
9.2
52
Not enough data
9.1
53
Decision Making
Not enough data
8.8
54
Not enough data
8.6
53
Not enough data
8.6
54
Not enough data
8.6
52
Generative AI
Not enough data
7.5
27
Not enough data
7.5
27
Marketing Operations
Not enough data
8.9
49
Not enough data
9.1
47
Not enough data
9.0
48
Not enough data
9.4
49
Not enough data
9.0
46
Not enough data
8.6
46
Campaign Activity
Not enough data
9.1
51
Not enough data
9.4
50
Not enough data
8.7
47
Not enough data
9.2
45
Not enough data
8.9
47
Not enough data
9.2
48
Agentic AI - Marketing Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
Not enough data
8.6
134
Not enough data
8.8
132
Not enough data
8.5
126
Integrations
Not enough data
8.0
96
Not enough data
8.3
93
Platform
Not enough data
8.6
109
Not enough data
8.6
124
Not enough data
8.3
93
Processing
Not enough data
9.1
126
Not enough data
8.9
120
Data Transformation
Not enough data
8.8
236
Not enough data
9.3
243
Connectivity
Not enough data
8.0
205
Not enough data
8.1
204
Not enough data
8.7
231
Not enough data
8.7
223
Operations
Not enough data
8.4
233
Not enough data
8.6
230
Not enough data
8.3
209
Not enough data
8.3
216
Not enough data
8.5
207
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
ClickHouse and Google Cloud BigQuery are categorized as Columnar Databases
Unique Categories
ClickHouse is categorized as Real-time Analytic Database, Database Management Systems (DBMS), and Relational Databases
Google Cloud BigQuery is categorized as Big Data Integration Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Reviews
Reviewers' Company Size
ClickHouse
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud BigQuery
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
33.3%
Computer Software
16.7%
Wholesale
5.6%
Telecommunications
5.6%
Marketing and Advertising
5.6%
Other
33.3%
Information Technology and Services
14.2%
Computer Software
14.0%
Retail
7.6%
Financial Services
6.9%
Marketing and Advertising
5.2%
Other
52.1%
Most Helpful Reviews
ClickHouse
Most Helpful Favorable Review
Verified User in Information Services
Its query efficiency on large data for optimization of response time
Most Helpful Critical Review
Aby K.
Verified User in Information Technology and Services
Stability and predictability. Clickhouse despite it's huge advantages sometimes doesn't provide you with the stability and behaviour needed for a production system.
Google Cloud BigQuery
Most Helpful Favorable Review
Verified User in Information Technology and Services
Google Query is super easy to use along with fast processing of data. For a new user it is easy to begin with and once he gets accustomed to it can easily switch more complex nuances of GCP
Most Helpful Critical Review
Verified User in Logistics and Supply Chain
Needs technical understanding and competent manpower
Verified User in Information Services
Its query efficiency on large data for optimization of response time
Verified User in Information Technology and Services
Google Query is super easy to use along with fast processing of data. For a new user it is easy to begin with and once he gets accustomed to it can easily switch more complex nuances of GCP
Aby K.
Verified User in Information Technology and Services
Stability and predictability. Clickhouse despite it's huge advantages sometimes doesn't provide you with the stability and behaviour needed for a production system.
Verified User in Logistics and Supply Chain
Needs technical understanding and competent manpower
Alternatives
Discussions
ClickHouse has no discussions with answers
Is Big Query free?
3 comments
BG
NoRead more
Yes, BigQuery is a 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
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