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Compare Azure Data Factory and dbt 
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At a Glance
Market Segments
Enterprise (63.0% of reviews)
Mid-Market (58.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Data Factory
Star Rating
(87)4.6 out of 5
Market Segments
Enterprise (63.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Azure Data Factorydbt
Star Rating
(190)4.7 out of 5
Market Segments
Mid-Market (58.5% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about dbtSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Azure Data Factory excels in "Data Integration" with a score of 9.0, making it a strong choice for organizations needing to connect various data sources seamlessly. In contrast, dbt, while strong in "Data Transformation" with a score of 9.4, does not focus as heavily on integration capabilities.
- Reviewers mention that Azure Data Factory's "Automation" features are robust, scoring 9.2, which allows for efficient workflow management. On the other hand, dbt also offers solid automation capabilities with a score of 9.3, but users note that it may require more manual setup compared to Azure's streamlined processes.
- G2 users highlight Azure Data Factory's "Cloud Migration Capabilities" with a score of 9.2, which is particularly beneficial for enterprises looking to transition to cloud-based solutions. In contrast, dbt does not emphasize cloud migration, focusing more on transformation within existing data environments.
- Reviewers say that Azure Data Factory's "Quality of Support" is rated at 8.8, indicating a strong support system for users. Conversely, dbt's support is rated slightly lower at 8.9, with some users mentioning that response times can vary.
- Users on G2 report that Azure Data Factory's "Breadth of Data Sources" is rated at 8.7, allowing for diverse data connectivity options. In comparison, dbt's focus is more on SQL-based transformations, which may limit its versatility in connecting to various data sources.
- Reviewers mention that Azure Data Factory's "Real-Time Analytics" score of 7.7 indicates some limitations in real-time data processing capabilities. In contrast, dbt shines in "Data Querying" with a score of 9.2, making it a better option for users who prioritize querying capabilities over real-time analytics.
Pricing
Entry-Level Pricing
Azure Data Factory
No pricing availabledbt
No pricing availableFree Trial
Azure Data Factory
No trial information availabledbt
Free Trial is available
Ratings
Meets Requirements
9.2
65
9.2
139
Ease of Use
8.9
66
9.0
141
Ease of Setup
9.2
31
8.6
80
Ease of Admin
8.6
23
8.5
58
Quality of Support
8.8
60
8.9
112
Has the product been a good partner in doing business?
9.3
22
8.8
52
Product Direction (% positive)
9.8
61
9.7
126
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
48
Not enough data
9.2
50
Not enough data
8.6
41
Data Interaction
Not enough data
8.3
41
Not enough data
8.5
44
Not enough data
9.1
49
Not enough data
9.1
47
Not enough data
9.1
42
Not enough data
9.4
48
Not enough data
8.6
44
Not enough data
8.6
44
Data Exporting
Not enough data
8.5
42
Not enough data
8.6
43
Not enough data
9.1
45
Generative AI
Not enough data
6.5
27
Management
8.4
45
Feature Not Available
8.4
44
8.2
36
Functionality
9.1
47
Feature Not Available
9.1
47
9.2
41
9.3
44
Feature Not Available
9.1
47
9.4
38
9.1
45
9.2
36
Data Management
Not enough data
9.2
49
Not enough data
9.1
51
Not enough data
9.1
49
Not enough data
9.3
50
Agentic AI - DataOps Platforms
Not enough data
7.6
9
Not enough data
7.7
8
Not enough data
8.3
10
Not enough data
8.0
9
Not enough data
8.5
9
Analytics
Not enough data
8.7
47
Not enough data
7.3
35
Monitoring and Management
Not enough data
8.7
43
Not enough data
8.9
50
Cloud Deployment
Not enough data
8.7
37
Not enough data
8.8
30
Generative AI
Not enough data
5.9
13
Not enough data
6.3
13
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
33
Not enough data
8.4
33
Administration
Not enough data
8.4
36
Not enough data
8.9
34
Not enough data
9.1
34
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
Data Transformation
Not enough data
8.5
32
Not enough data
9.4
38
Connectivity
Not enough data
8.5
27
Not enough data
8.6
28
Not enough data
8.5
34
Not enough data
9.0
31
Operations
Not enough data
Feature Not Available
Not enough data
9.4
37
Not enough data
8.6
31
Not enough data
8.6
30
Not enough data
8.5
29
Functionality
Not enough data
8.7
38
Not enough data
8.4
36
Not enough data
8.6
38
Not enough data
8.2
38
Not enough data
8.4
36
Management
Not enough data
8.4
38
Not enough data
9.2
42
Not enough data
8.9
37
Not enough data
8.2
39
Not enough data
8.3
41
Generative AI
Not enough data
6.3
20
Not enough data
6.7
20
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
Azure Data Factory and dbt are categorized as ETL Tools and Big Data Integration Platforms
Unique Categories
Azure Data Factory has no unique categories
dbt is categorized as Big Data Analytics, Data Preparation, Data Quality, Data Warehouse Automation, DataOps Platforms, and Semantic Layer Tools
Reviews
Reviewers' Company Size
Azure Data Factory
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
32.9%
Computer Software
12.2%
Financial Services
6.1%
Retail
4.9%
Airlines/Aviation
4.9%
Other
39.0%
Information Technology and Services
19.7%
Computer Software
16.5%
Financial Services
10.6%
Retail
4.8%
Marketing and Advertising
4.8%
Other
43.6%
Alternatives
Discussions
Is Azure data Factory an ETL tool?
2 Comments
AG
yesRead more
Azure Data Factory 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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