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Compare Keboola and dbt 
Featured Products
At a Glance
Market Segments
Mid-Market (64.7% of reviews)
Mid-Market (57.2% of reviews)
Entry-Level Pricing
Free With One-Time Purchase
No pricing available
Keboola
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 plansdbt
Star Rating
(197)4.7 out of 5
Market Segments
Mid-Market (57.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about dbtSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Keboola excels in providing a user-friendly experience, with many users highlighting its intuitive setup for data flows. One user mentioned, "I absolutely love its intuitive and easy setup for data flows," making it a strong choice for those who prioritize ease of use.
- Users say that dbt stands out for its structured approach to data work, which helps teams collaborate effectively. Reviewers appreciate how it integrates seamlessly with tools like BigQuery, facilitating teamwork without delays during implementation.
- According to verified reviews, Keboola shines in its quality of support, receiving high praise for fast response times. Users have noted the benefit of having a reliable support system, which can be crucial for businesses that rely on timely data management.
- Reviewers mention that dbt offers robust automation capabilities, particularly in creating data models. Users feel confident in the accuracy of their KPIs, thanks to the thorough testing of transformation logic, which enhances trust in the data.
- G2 reviewers highlight that while Keboola is strong in data integration and management, it faces challenges in areas like dashboard visualizations, where users have expressed a desire for more advanced features compared to dbt's offerings.
- Users report that dbt's scalability is a significant advantage, with many noting its ability to handle growing data needs effectively. This is complemented by its strong performance in data observability, which helps users maintain oversight of their data processes.
Pricing
Entry-Level Pricing
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
dbt
No pricing availableFree Trial
Keboola
Free Trial is available
dbt
Free Trial is available
Ratings
Meets Requirements
8.7
110
9.2
145
Ease of Use
8.6
111
9.0
147
Ease of Setup
8.4
81
8.6
86
Ease of Admin
8.1
57
8.5
59
Quality of Support
9.5
108
8.9
116
Has the product been a good partner in doing business?
9.0
57
8.6
53
Product Direction (% positive)
8.9
105
9.6
132
Features by Category
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
Not enough data
Not enough data
Self Service
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
Advanced Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Data Integration
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
Not enough data
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
7.5
21
Not enough data
6.8
19
Not enough data
5.3
20
Not enough data
6.1
20
Not enough data
Platform
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
Not enough data
Data Source Access
Not enough data
8.8
47
Not enough data
9.2
50
Not enough data
8.6
41
Data Interaction
Not enough data
8.3
40
Not enough data
8.5
44
Not enough data
9.0
50
Not enough data
9.1
48
Not enough data
9.1
42
Not enough data
9.4
48
Not enough data
8.7
47
Not enough data
8.7
45
Data Exporting
Not enough data
8.5
41
Not enough data
8.7
44
Not enough data
9.1
45
Generative AI
Not enough data
6.5
27
Functionality
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
Not enough data
Diverse Extraction Points
8.7
67
Not enough data
Management
7.1
62
Feature Not Available
7.2
55
8.2
37
Functionality
9.1
73
Feature Not Available
9.2
74
9.2
44
8.9
73
Feature Not Available
9.1
73
9.5
40
8.5
70
9.2
37
Management
6.8
15
Not enough data
7.6
19
Not enough data
8.4
19
Not enough data
7.7
19
Not enough data
Solution Provision
7.1
16
Not enough data
8.0
17
Not enough data
Feature Not Available
Not enough data
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
Not enough data
Not enough data
Integration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
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
Feature Not Available
Not enough data
Not enough data
Not enough data
Data Management
9.0
16
9.2
50
7.6
16
9.1
52
9.2
16
9.1
49
8.6
16
9.3
49
Agentic AI - DataOps Platforms
Not enough data
7.5
8
Not enough data
7.4
7
Not enough data
8.1
9
Not enough data
8.1
9
Not enough data
8.3
8
Analytics
7.5
14
8.8
48
5.4
14
7.3
34
Monitoring and Management
8.4
16
8.7
43
7.7
15
8.9
51
Cloud Deployment
7.8
12
8.7
37
8.2
13
8.8
29
Generative AI
3.5
9
5.7
12
4.4
9
6.0
12
Automation
Not enough data
8.8
34
Not enough data
8.3
32
Not enough data
8.6
35
Not enough data
Feature Not Available
Functionality
Not enough data
8.6
34
Not enough data
8.6
34
Not enough data
8.4
34
Administration
Not enough data
8.4
37
Not enough data
8.9
34
Not enough data
9.1
35
Agentic AI - Data Warehouse Automation
Not enough data
Not enough data
Deployment & Integration - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Connectivity & Federation - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling & Metrics - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Governance - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Intelligence - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Enablement - Semantic Layer Tools
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
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
Data Transformation
Not enough data
8.5
32
Not enough data
9.4
39
Connectivity
Not enough data
8.4
27
Not enough data
8.6
28
Not enough data
8.5
34
Not enough data
8.9
31
Operations
Not enough data
Feature Not Available
Not enough data
9.3
38
Not enough data
8.6
30
Not enough data
8.7
30
Not enough data
8.6
30
Functionality
Not enough data
8.7
39
Not enough data
8.3
36
Not enough data
8.7
40
Not enough data
8.2
38
Not enough data
8.4
38
Management
Not enough data
8.5
40
Not enough data
9.3
42
Not enough data
8.8
36
Not enough data
8.1
39
Not enough data
8.3
41
Generative AI
Not enough data
6.2
19
Not enough data
6.6
19
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
Keboola and dbt are categorized as DataOps Platforms, Big Data Integration Platforms, ETL Tools, and Big Data Analytics
Unique Categories
Keboola is categorized as Data Replication, Data Extraction, iPaaS, Data Management Platform (DMP), and Data Warehouse
dbt is categorized as Data Preparation, Data Quality, Data Warehouse Automation, and Semantic Layer Tools
Reviews
Reviewers' Company Size
Keboola
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
dbt
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
Marketing and Advertising
12.8%
Information Technology and Services
12.8%
Retail
7.5%
Media Production
7.5%
Internet
6.0%
Other
53.4%
Information Technology and Services
19.1%
Computer Software
16.5%
Financial Services
10.3%
Retail
4.6%
Marketing and Advertising
4.6%
Other
44.8%
Alternatives
Discussions
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
What is DBT data Modelling?
2 Comments
TH
dbt data modeling is not a thing. Dbt is a transformation tool that makes it easier to implement data modeling techniques like snowflake, data vault etc. Read more
What is DBT database tool?
1 Comment
SY
DBT (DataBase Transformations) uses SQL select statements, with some added magic from Jinja templating language, to model and transform data. It's a highly...Read more
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