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Compare Google Cloud BigQuery and Keboola 
Featured Products
At a Glance
Market Segments
Enterprise (38.1% of reviews)
Mid-Market (64.7% of reviews)
Entry-Level Pricing
Free
Free With One-Time Purchase
Google Cloud BigQuery
Star Rating
(1,202)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 plansKeboola
Star Rating
(138)4.6 out of 5
Market Segments
Mid-Market (64.7% of reviews)
Pros & Cons
Entry-Level Pricing
Free With One-Time Purchase
Free Trial is available
Browse all 2 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in overall user satisfaction, boasting a high G2 Score that reflects its strong performance in big data analytics and ETL tools. Users appreciate its serverless architecture and pay-as-you-go model, which simplifies operations and allows for experimentation with large datasets.
- Users say Keboola shines in its intuitive setup for data flows, making it accessible even for less experienced users. Reviewers highlight the platform's ability to manage multiple data sources seamlessly, which enhances data manipulation capabilities.
- Reviewers mention that Google Cloud BigQuery's speed and efficiency are standout features, with many praising its ability to handle billions of queries quickly. This performance is particularly beneficial for enterprises that require rapid data analysis without the hassle of managing infrastructure.
- According to verified reviews, Keboola offers excellent support, with users noting the responsiveness of their customer service. This aspect is crucial for teams that rely on timely assistance for their data management needs.
- G2 reviewers highlight that while Google Cloud BigQuery has a robust feature set for data extraction and transformation, Keboola's focus on conditional flows and ready-to-use components makes it a strong contender for users looking for flexibility in their data workflows.
- Users report that Google Cloud BigQuery's scalability is a significant advantage, allowing businesses to grow without worrying about performance bottlenecks. In contrast, Keboola's strengths lie in its data integration capabilities, which are particularly appealing to mid-market companies looking to streamline their data processes.
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
Keboola
Free Tier
Free
With One-Time Purchase
Our Free Tier gives you 60 free computation minutes each month to explore, build, and prototype in Keboola. If you need more, you can manually or automatically top up your account with additional credits at $0.14 per minute.
This plan is ideal for early exploration, data prototyping, and self-paced learning, giving you a full hands-on experience with Keboola’s core capabilities—risk-free.
- Transformations: SQL, Python, R, dbt, No-code, Data Science
- Scheduling & Triggers: Time-based or event-driven job automation
- Monitoring & Alerts: Jobs list, email & webhook notifications
Free Trial
Google Cloud BigQuery
Free Trial is available
Keboola
Free Trial is available
Ratings
Meets Requirements
8.8
612
8.7
110
Ease of Use
8.7
627
8.6
111
Ease of Setup
8.7
402
8.4
81
Ease of Admin
8.5
224
8.1
57
Quality of Support
8.4
564
9.5
108
Has the product been a good partner in doing business?
8.6
217
9.0
57
Product Direction (% positive)
9.2
600
8.9
105
Features by Category
Data Integration
Not enough data
8.3
21
Not enough data
8.2
21
Not enough data
8.0
21
Not enough data
7.5
19
Not enough data
6.1
18
Not enough data
8.1
20
Agentic AI - Data Management Platform (DMP)
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
Data Analysis & Optimization
Not enough data
7.5
21
Not enough data
6.8
19
Not enough data
5.3
20
Not enough data
6.1
20
Platform
Not enough data
7.3
20
Not enough data
7.7
21
Not enough data
8.7
21
Not enough data
8.8
20
Not enough data
7.0
19
Functionality
Not enough data
8.7
67
Not enough data
8.5
67
Not enough data
8.8
64
Not enough data
8.0
70
Not enough data
9.1
65
Not enough data
5.2
54
Diverse Extraction Points
Not enough data
8.7
67
Management
8.6
121
7.1
62
8.3
119
7.2
55
Functionality
9.0
119
9.1
73
9.1
123
9.2
74
9.0
123
8.9
73
8.9
122
9.1
73
9.3
122
8.5
70
Management
Not enough data
6.8
15
Not enough data
7.6
19
Not enough data
8.4
19
Not enough data
7.7
19
Solution Provision
Not enough data
7.1
16
Not enough data
8.0
17
Not enough data
Feature Not Available
Data Management
8.9
220
|
Verified
Not enough data
8.3
211
|
Verified
Not enough data
8.9
216
|
Verified
Not enough data
8.6
213
|
Verified
Not enough data
8.3
202
|
Verified
Not enough data
8.7
202
|
Verified
Not enough data
Integration
8.5
201
|
Verified
Not enough data
8.6
214
|
Verified
Not enough data
8.6
201
|
Verified
Not enough data
Deployment
7.7
187
|
Verified
Not enough data
9.1
213
|
Verified
Not enough data
Performance
9.1
220
|
Verified
Not enough data
Security
8.7
208
|
Verified
Not enough data
9.1
214
|
Verified
Not enough data
Generative AI
7.6
129
Not enough data
7.8
126
Not enough data
Development
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
Management
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
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration Options
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Feature Not Available
Not enough data
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
Data Management
Not enough data
9.0
16
Not enough data
7.6
16
Not enough data
9.2
16
Not enough data
8.6
16
Agentic AI - DataOps Platforms
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
Analytics
Not enough data
7.5
14
Not enough data
5.4
14
Monitoring and Management
Not enough data
8.4
16
Not enough data
7.7
15
Cloud Deployment
Not enough data
7.8
12
Not enough data
8.2
13
Generative AI
Not enough data
3.5
9
Not enough data
4.4
9
Centralized computation
9.1
27
Not enough data
Localized computation
8.5
28
Not enough data
Statistical Tool
8.7
79
Not enough data
9.0
79
Not enough data
8.8
80
Not enough data
Data Analysis
9.3
79
Not enough data
9.1
80
Not enough data
Decision Making
8.8
80
Not enough data
8.7
78
Not enough data
8.7
80
Not enough data
8.7
78
Not enough data
Generative AI
7.5
51
Not enough data
7.8
51
Not enough data
Management
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
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
177
Not enough data
8.9
175
Not enough data
8.8
169
Not enough data
Integrations
8.4
138
Not enough data
8.6
135
Not enough data
Platform
8.9
153
Not enough data
8.9
167
Not enough data
8.6
135
Not enough data
Processing
9.3
170
Not enough data
9.1
163
Not enough data
Data Transformation
8.8
285
Not enough data
9.3
294
Not enough data
Connectivity
8.1
253
Not enough data
8.2
251
Not enough data
8.7
280
Not enough data
8.7
271
Not enough data
Operations
8.5
280
Not enough data
8.7
279
Not enough data
8.3
257
Not enough data
8.4
264
Not enough data
8.5
256
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 Keboola are categorized as Big Data Integration Platforms, ETL Tools, Big Data Analytics, and Data Warehouse
Unique Categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Processing and Distribution, Marketing Analytics, Predictive Analytics, and Data Clean Room
Keboola is categorized as DataOps Platforms, Data Replication, Data Extraction, iPaaS, and Data Management Platform (DMP)
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Keboola
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
13.2%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.9%
Marketing and Advertising
12.8%
Information Technology and Services
12.8%
Retail
7.5%
Media Production
7.5%
Internet
6.0%
Other
53.4%
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
Are you planning to include those extractors: Pinterest, TikTok, Spinoco? All of the would be beneficial for our use.
2 Comments
Official Response from Keboola
TikTok should be published soon :-), Pinterest is on our list, but we have never heard about Spinoco. Probably usage of our generic extractor can help you...Read more
Keboola has no more discussions with answers
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