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Compare ClickHouse and Google Cloud BigQuery 
Featured Products
At a Glance
Market Segments
Small-Business (47.4% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
Starting at $1.00 Per Month
Free
ClickHouse
Star Rating
(20)4.4 out of 5
Market Segments
Small-Business (47.4% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $1.00 Per Month
Learn more about ClickHouseGoogle 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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in user satisfaction, with many praising its serverless architecture that allows users to focus on data analysis without worrying about infrastructure. This makes it particularly appealing for teams looking to streamline their operations.
- Users say ClickHouse stands out for its exceptional query performance, especially on large datasets. Reviewers highlight its ability to deliver results in seconds, making it a strong choice for real-time analytics workloads.
- According to verified reviews, Google Cloud BigQuery's implementation process is notably smooth, with users appreciating the pay-as-you-go model that simplifies operations and encourages experimentation with larger datasets.
- Reviewers mention that while ClickHouse is recognized for its speed, it may not offer the same level of support and ease of administration as Google Cloud BigQuery, which has received higher ratings in these areas, indicating a more robust support structure.
- Users highlight that Google Cloud BigQuery's integration with AI tooling and its ability to handle billions of queries efficiently make it a preferred choice for enterprises, while ClickHouse is often favored by small businesses for its cost-effectiveness and performance.
- G2 reviewers note that both products have strong data modeling capabilities, but ClickHouse's columnar storage design is particularly praised for optimizing storage and computation, making it ideal for specific analytics tasks.
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
8.9
11
8.8
616
Ease of Use
8.6
11
8.7
632
Ease of Setup
9.0
7
8.8
407
Ease of Admin
7.0
5
8.5
224
Quality of Support
8.7
9
8.4
565
Has the product been a good partner in doing business?
Not enough data
8.6
217
Product Direction (% positive)
10.0
10
9.3
605
Features by Category
Management
Not enough data
8.6
121
Not enough data
8.3
119
Functionality
Not enough data
9.0
119
Not enough data
9.1
123
Not enough data
9.0
123
Not enough data
8.9
122
Not enough data
9.3
122
Data Management
Not enough data
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
Integration
Not enough data
8.5
202
|
Verified
Not enough data
8.6
213
|
Verified
Not enough data
8.6
200
|
Verified
Deployment
Not enough data
7.7
186
|
Verified
Not enough data
9.1
216
|
Verified
Performance
Not enough data
9.1
224
|
Verified
Security
Not enough data
8.7
207
|
Verified
Not enough data
9.1
213
|
Verified
Generative AI
Not enough data
7.6
127
Not enough data
7.8
124
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
9.2
6
9.1
70
9.0
7
8.8
70
Availability
Feature Not Available
8.4
62
7.8
6
8.5
66
8.3
6
8.6
68
Performance
8.1
6
8.5
65
Security
9.0
5
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
8.3
5
8.7
65
Support
Not enough data
8.7
66
Not enough data
8.9
66
Centralized computation
Not enough data
9.1
27
Localized computation
Not enough data
8.5
28
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
8.7
78
Not enough data
9.0
78
Not enough data
8.8
79
Data Analysis
Not enough data
9.3
78
Not enough data
9.1
79
Decision Making
Not enough data
8.8
79
Not enough data
8.7
77
Not enough data
8.7
79
Not enough data
8.7
77
Generative AI
Not enough data
7.5
50
Not enough data
7.8
50
Marketing Operations
Not enough data
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
Campaign Activity
Not enough data
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
Agentic AI - Marketing Analytics
Not enough data
8.7
15
Not enough data
9.6
15
Not enough data
8.2
15
Database
Not enough data
8.8
175
Not enough data
8.9
173
Not enough data
8.7
167
Integrations
Not enough data
8.4
136
Not enough data
8.5
133
Platform
Not enough data
8.9
151
Not enough data
8.9
165
Not enough data
8.5
133
Processing
Not enough data
9.2
168
Not enough data
9.1
161
Data Transformation
Not enough data
8.8
283
Not enough data
9.3
293
Connectivity
Not enough data
8.1
251
Not enough data
8.2
249
Not enough data
8.7
278
Not enough data
8.7
269
Operations
Not enough data
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
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
31.6%
Computer Software
21.1%
Wholesale
5.3%
Telecommunications
5.3%
Marketing and Advertising
5.3%
Other
31.6%
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%
Alternatives
Discussions
ClickHouse has no discussions with answers
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
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