Compare Azure Data Lake Analytics and dbt 
Featured Products
At a Glance
Market Segments
Enterprise (44.4% of reviews)
Mid-Market (57.1% 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
(201)4.7 out of 5
Market Segments
Mid-Market (57.1% 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 experience, with many praising its ease of setup and daily usability. Users appreciate how quickly they can integrate dbt into their workflows, highlighting its seamless compatibility with tools like BigQuery and version control systems.
- According to verified reviews, Azure Data Lake Analytics is recognized for its scalability and ability to handle massive data processing tasks. Users commend its support for multiple processing languages, such as U-SQL, R, and Python, making it a versatile choice for teams already embedded in the Microsoft ecosystem.
- Reviewers mention that dbt provides a structured approach to data transformation, which enhances collaboration among team members. Users find that it automates the creation of data models, instilling confidence in the accuracy of their KPIs, a feature that many find invaluable for their data-driven decision-making.
- Users say that while Azure Data Lake Analytics offers a robust platform for enterprise-level data processing, it sometimes struggles with specific workflow needs, leading to configuration challenges. This can be a hurdle for teams looking for a more tailored solution.
- G2 reviewers highlight that dbt's strong community support and extensive documentation contribute to a smoother user experience. Many users feel that the resources available make it easier to troubleshoot issues and maximize the tool's potential.
- According to recent feedback, Azure Data Lake Analytics is praised for its fast processing capabilities and user-friendly interface, which is particularly beneficial for teams already utilizing Azure services. However, the lack of recent reviews suggests that it may not be as actively discussed or updated as dbt, which has garnered a more substantial volume of recent user feedback.
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
149
Ease of Use
8.4
23
9.0
151
Ease of Setup
8.3
11
8.6
90
Ease of Admin
8.3
11
8.5
59
Quality of Support
8.5
23
8.8
120
Has the product been a good partner in doing business?
8.6
11
8.6
53
Product Direction (% positive)
9.0
24
9.6
136
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
38
Functionality
Not enough data
Feature Not Available
Not enough data
9.3
46
Not enough data
Feature Not Available
Not enough data
9.4
41
Not enough data
9.2
38
Data Management
Not enough data
9.3
52
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
8.5
9
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
8.1
17
|
Verified
8.5
32
8.8
16
|
Verified
9.4
39
Connectivity
8.4
18
|
Verified
8.4
27
8.6
17
|
Verified
8.6
28
7.9
19
|
Verified
8.5
34
9.0
20
|
Verified
8.9
31
Operations
8.5
19
|
Verified
Feature Not Available
8.5
17
|
Verified
9.3
38
8.1
18
|
Verified
8.6
30
8.9
16
|
Verified
8.7
30
8.2
15
|
Verified
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 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
16.7%
Financial Services
10.1%
Retail
5.1%
Marketing and Advertising
4.5%
Other
43.9%
Alternatives
Discussions
Azure Data Lake Analytics has no 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 tool used for?
2 Comments
WW
Data transformations. The 'T' in ELT/ELT. It lets you version-control and easily modify all your data transformations between (say) your source tables from...Read more
What is DBT technology?
1 Comment
TH
dbt is a data transformation tool that helps organize & run SQL files. The SQL files are only SELECT statements while dbt takes care of the boilerplate...Read more
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