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Compare Azure Data Lake Analytics and dbt 
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At a Glance
Market Segments
Enterprise (44.4% of reviews)
Mid-Market (58.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Data Lake Analytics
Star Rating
(37)4.2 out of 5
Market Segments
Enterprise (44.4% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Azure Data Lake Analyticsdbt
Star Rating
(191)4.7 out of 5
Market Segments
Mid-Market (58.5% of reviews)
Pros & Cons
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 Lake Analytics excels in data integration with a score of 9.0, allowing seamless connectivity to various data sources, while dbt shines in data transformation with a score of 9.4, making it a preferred choice for users focused on transforming data efficiently.
- Reviewers mention that Azure Data Lake Analytics has strong cloud migration capabilities with a score of 9.2, which is crucial for enterprises looking to transition to cloud environments, whereas dbt's data modeling capabilities score 9.1, indicating its strength in creating complex data models.
- G2 users highlight that Azure Data Lake Analytics offers robust workflow automation features with a score of 9.2, which enhances operational efficiency, while dbt's data visualization capabilities, scoring 9.4, provide users with better insights through visual representations of data.
- Users on G2 report that Azure Data Lake Analytics has a solid quality of support rating of 8.5, which is essential for enterprises needing reliable assistance, while dbt's support is rated higher at 8.9, indicating a more responsive customer service experience.
- Reviewers say that Azure Data Lake Analytics is particularly strong in data governance with a score of 8.5, ensuring compliance and security, while dbt's automated workflows score 9.5, making it easier for users to manage data processes without manual intervention.
- Users report that Azure Data Lake Analytics has a higher score in real-time analytics at 8.1, which is beneficial for businesses needing immediate insights, while dbt's data querying capabilities score 9.2, allowing users to perform complex queries with ease.
Pricing
Entry-Level Pricing
Azure Data Lake Analytics
No pricing availabledbt
No pricing availableFree Trial
Azure Data Lake Analytics
No trial information availabledbt
Free Trial is available
Ratings
Meets Requirements
8.6
23
9.2
139
Ease of Use
8.4
23
9.0
141
Ease of Setup
8.3
11
8.6
80
Ease of Admin
8.3
11
8.5
58
Quality of Support
8.5
23
8.9
112
Has the product been a good partner in doing business?
8.6
11
8.8
52
Product Direction (% positive)
9.0
24
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
Not enough data
Feature Not Available
Not enough data
8.2
36
Functionality
Not enough data
Feature Not Available
Not enough data
9.2
41
Not enough data
Feature Not Available
Not enough data
9.4
38
Not enough data
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
8.1
17
|
Verified
8.5
32
8.8
16
|
Verified
9.4
38
Connectivity
8.4
18
|
Verified
8.5
27
8.6
17
|
Verified
8.6
28
7.9
19
|
Verified
8.5
34
9.0
20
|
Verified
9.0
31
Operations
8.5
19
|
Verified
Feature Not Available
8.5
17
|
Verified
9.4
37
8.1
18
|
Verified
8.6
31
8.9
16
|
Verified
8.6
30
8.2
15
|
Verified
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 Lake Analytics and dbt are categorized as Big Data Analytics
Unique Categories
Azure Data Lake Analytics has no unique categories
dbt is categorized as Big Data Integration Platforms, Data Preparation, Data Quality, ETL Tools, Data Warehouse Automation, DataOps Platforms, and Semantic Layer Tools
Reviews
Reviewers' Company Size
Azure Data Lake Analytics
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
Computer Software
14.8%
Consumer Goods
11.1%
Telecommunications
7.4%
Internet
7.4%
Information Technology and Services
7.4%
Other
51.9%
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
Azure Data Lake Analytics 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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