Introducing G2.ai, the future of software buying.Try now
Compare Azure Data Factory and dbt 
Featured Products
At a Glance
Market Segments
Enterprise (62.8% of reviews)
Mid-Market (57.2% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Data Factory
Star Rating
(93)4.6 out of 5
Market Segments
Enterprise (62.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Data Factorydbt
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 Azure Data Factory excels in its integration capabilities, allowing users to easily connect various data sources, whether on-premises or in the cloud. The low-code interface and visual pipeline building features are particularly praised, making it accessible for users who may not have extensive coding experience.
- Users say that dbt stands out for its ease of setup and daily usability. Many find it straightforward to integrate with tools like BigQuery, and appreciate how it structures data work, facilitating teamwork and collaboration without adding delays during implementation.
- Reviewers mention that Azure Data Factory's automation features are a significant advantage, with users highlighting the ability to automate repetitive tasks and manage complex data workflows efficiently. This capability is often noted as a time-saver in their day-to-day operations.
- According to verified reviews, dbt is recognized for its transformation capabilities, with users feeling confident in the accuracy of their data models. The tool's ability to automate the creation of data models is particularly appreciated, as it enhances trust in the displayed KPIs.
- G2 reviewers indicate that while Azure Data Factory has a higher overall satisfaction score, dbt's users rate its quality of support slightly higher, suggesting that dbt may offer more responsive assistance when users encounter challenges.
- Users highlight that Azure Data Factory's flexibility in scheduling is a notable feature, with various scheduling options available that cater to different operational needs, making it a robust choice for enterprises managing large-scale data integration tasks.
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
9.1
70
9.2
145
Ease of Use
8.9
71
9.0
147
Ease of Setup
9.1
36
8.6
86
Ease of Admin
8.6
28
8.5
59
Quality of Support
8.8
65
8.9
116
Has the product been a good partner in doing business?
9.1
27
8.6
53
Product Direction (% positive)
9.8
66
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 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
8.5
47
Feature Not Available
8.4
45
8.2
37
Functionality
9.2
51
Feature Not Available
9.0
50
9.2
44
9.3
48
Feature Not Available
9.2
50
9.5
40
9.1
48
9.2
37
Data Management
Not enough data
9.2
50
Not enough data
9.1
52
Not enough data
9.1
49
Not enough data
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
Not enough data
8.8
48
Not enough data
7.3
34
Monitoring and Management
Not enough data
8.7
43
Not enough data
8.9
51
Cloud Deployment
Not enough data
8.7
37
Not enough data
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
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
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
34.5%
Computer Software
12.6%
Financial Services
5.7%
Retail
4.6%
Airlines/Aviation
4.6%
Other
37.9%
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
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
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
