Compare Datafold and dbt 
Featured Products
At a Glance
Market Segments
Mid-Market (54.2% of reviews)
Mid-Market (57.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Datafold
Star Rating
(24)4.5 out of 5
Market Segments
Mid-Market (54.2% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Datafolddbt
Star Rating
(198)4.7 out of 5
Market Segments
Mid-Market (57.4% 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 dbt excels in user satisfaction, boasting a significantly higher overall score compared to Datafold. Users appreciate its ease of setup and daily usability, with one reviewer noting that it is "very easy to integrate and leverage the tool with lots of features."
- According to verified reviews, dbt has a much larger volume of feedback, with 193 total reviews compared to Datafold's 24. This suggests that dbt's user experiences are more reliable and reflective of a broader user base, enhancing confidence in its capabilities.
- Users say that dbt provides a structured approach to data work, which is particularly beneficial for teams. One user highlighted that it "automates the creation of form data models," allowing them to trust the accuracy of their KPIs, a feature that enhances data integrity.
- Reviewers mention that while Datafold offers strong data quality solutions, such as automating data testing and seamless integration with GitHub, it still trails behind dbt in overall user experience. Users noted that Datafold is "easy to use," but some tasks can be cumbersome compared to dbt's streamlined processes.
- Users highlight that dbt's implementation process is quick and efficient, with many praising its intuitive onboarding. One user remarked that there was "no delay during implementation," which is a crucial factor for teams looking to adopt new tools swiftly.
- According to recent feedback, Datafold shines in specific areas like data observability and testing capabilities, with users appreciating its "awesome workflow." However, dbt's overall higher ratings in usability and support indicate that it may be a more reliable choice for teams seeking a comprehensive data transformation solution.
Pricing
Entry-Level Pricing
Datafold
No pricing availabledbt
No pricing availableFree Trial
Datafold
No trial information availabledbt
Free Trial is available
Ratings
Meets Requirements
8.5
20
9.2
146
Ease of Use
8.8
20
9.0
148
Ease of Setup
7.9
8
8.6
87
Ease of Admin
7.9
8
8.5
59
Quality of Support
9.1
20
8.9
117
Has the product been a good partner in doing business?
8.3
8
8.6
53
Product Direction (% positive)
8.8
20
9.6
133
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 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
Management
Not enough data
Feature Not Available
Not enough data
8.2
37
Functionality
Not enough data
Feature Not Available
Not enough data
9.3
45
Not enough data
Feature Not Available
Not enough data
9.5
40
Not enough data
9.2
37
Data Management
9.2
12
9.2
50
8.3
10
9.1
52
Feature Not Available
9.1
49
Feature Not Available
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
Feature Not Available
8.8
48
8.0
10
7.3
34
Monitoring and Management
8.2
11
8.7
43
9.3
10
8.9
51
Cloud Deployment
9.2
8
8.7
37
9.0
8
8.8
29
Generative AI
Not enough data
5.7
12
Not enough data
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
Functionality
8.6
12
Not enough data
8.2
12
Not enough data
8.3
12
Not enough data
8.5
12
Not enough data
Management
8.1
12
Not enough data
8.5
11
Not enough data
8.1
12
Not enough data
8.0
11
Not enough data
8.3
11
Not enough data
Generative AI
Not enough data
Not enough data
Agentic AI - Data Observability
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
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
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
Datafold and dbt are categorized as DataOps Platforms
Unique Categories
Datafold is categorized as Data Observability
dbt is categorized as Big Data Analytics, Big Data Integration Platforms, Data Preparation, Data Quality, ETL Tools, Data Warehouse Automation, and Semantic Layer Tools
Reviews
Reviewers' Company Size
Datafold
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
Information Technology and Services
29.2%
Computer Software
12.5%
Accounting
8.3%
Wholesale
4.2%
Telecommunications
4.2%
Other
41.7%
Information Technology and Services
19.5%
Computer Software
16.4%
Financial Services
10.3%
Retail
4.6%
Marketing and Advertising
4.6%
Other
44.6%
Alternatives
Discussions
Datafold has no discussions with answers
What is DBT tool used for?
2 Comments
WW
SQL data transformations.Read more
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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