Compare AWS Glue and dbt 
Featured Products
At a Glance
Market Segments
Enterprise (47.4% of reviews)
Mid-Market (57.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
AWS Glue
Star Rating
(198)4.3 out of 5
Market Segments
Enterprise (47.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about AWS Gluedbt
Star Rating
(199)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 AWS Glue excels in its functionality and ease of use, with users appreciating its straightforward interface and the ability to easily trace errors in scripts. One user mentioned, "I like its service. easy to understand and use," highlighting its user-friendly nature.
- Users say that dbt stands out for its structured approach to data transformation, making it a favorite among teams. Reviewers noted that it integrates seamlessly with tools like BigQuery and version control, which facilitates teamwork and enhances productivity. One user remarked, "The largest benefit of dbt to me is that it provides structure to data work."
- According to verified reviews, AWS Glue is praised for its ability to handle data integration from various platforms, with one user stating, "My team built a framework to fetch data from different platforms through AWS Glue," showcasing its versatility in data handling.
- Reviewers mention that dbt's automation capabilities significantly boost confidence in data accuracy. Users appreciate how it automates the creation of data models, with one stating, "I felt confident that the KPIs displayed were accurate, thanks to transformation logic that had been thoroughly tested."
- G2 reviewers highlight that while AWS Glue has a solid performance in enterprise environments, it may not be as agile for mid-market users compared to dbt, which is favored by a larger percentage of mid-market reviewers. This suggests that dbt may be more adaptable for smaller teams or projects.
- Users report that both products have comparable ease of setup, but dbt's recent user feedback indicates a slight edge in integration ease, with one user noting, "It is very easy to integrate and leverage the tool with lots of features," which may appeal to teams looking for quick deployment.
Pricing
Entry-Level Pricing
AWS Glue
No pricing availabledbt
No pricing availableFree Trial
AWS Glue
Free Trial is available
dbt
Free Trial is available
Ratings
Meets Requirements
8.5
155
9.2
146
Ease of Use
8.4
158
9.0
148
Ease of Setup
8.6
73
8.6
87
Ease of Admin
8.3
67
8.5
59
Quality of Support
8.3
153
8.9
117
Has the product been a good partner in doing business?
8.8
67
8.6
53
Product Direction (% positive)
9.0
154
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 Governance
8.5
16
Not enough data
8.8
14
Not enough data
8.7
14
Not enough data
Data Preparation
8.2
17
Not enough data
8.9
15
Not enough data
8.9
16
Not enough data
8.8
18
Not enough data
Collaboration
8.2
16
Not enough data
9.0
16
Not enough data
8.9
16
Not enough data
8.6
18
Not enough data
Artificial Intelligence
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Machine Learning Data Catalog
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
8.5
60
8.8
47
8.4
61
9.2
50
8.5
57
8.6
41
Data Interaction
8.4
58
8.3
40
8.5
62
8.5
44
8.3
61
9.0
50
8.8
61
9.1
48
8.6
54
9.1
42
8.9
59
9.4
48
8.6
57
8.7
47
8.3
58
8.7
45
Data Exporting
8.6
58
8.5
41
8.2
58
8.7
44
8.4
61
9.1
45
Generative AI
6.9
8
6.5
27
Administration
9.1
23
Not enough data
9.0
23
Not enough data
9.1
25
Not enough data
Federation
9.1
24
Not enough data
9.2
23
Not enough data
8.9
22
Not enough data
8.9
22
Not enough data
Transformation
8.7
24
Not enough data
9.1
23
Not enough data
8.6
24
Not enough data
Management
8.7
61
Feature Not Available
8.7
56
8.2
37
Functionality
9.0
67
Feature Not Available
8.9
72
9.3
45
9.2
70
Feature Not Available
8.8
67
9.5
40
8.9
67
9.2
37
Management
9.1
18
Not enough data
9.0
19
Not enough data
9.1
18
Not enough data
9.1
17
Not enough data
Solution Provision
9.0
16
Not enough data
8.8
15
Not enough data
8.9
16
Not enough data
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
Agentic AI - AWS Marketplace
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
Management
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
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
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
AWS Glue and dbt are categorized as Data Preparation, Big Data Integration Platforms, and ETL Tools
Unique Categories
AWS Glue is categorized as AWS Marketplace, Data Replication, Data Virtualization, and Machine Learning Data Catalog
dbt is categorized as Big Data Analytics, Data Quality, Data Warehouse Automation, DataOps Platforms, and Semantic Layer Tools
Reviews
Reviewers' Company Size
AWS Glue
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
18.4%
Computer Software
14.2%
Financial Services
6.3%
Hospital & Health Care
5.8%
Computer & Network Security
4.2%
Other
51.1%
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%
Discussions
What does AWS Glue do?
2 Comments
SG
AWS Glue helps you build a data pipeline which can be used for data visualization or storing the data after transforming it in glue using pyspark.
it can...Read more
What are the main components of AWS Glue?
2 Comments
MR
AWS Glue is a fully managed ETL (Extract, Transform, Load) service that simplifies the process of preparing and loading data for analytics. Its...Read more
What are the features of glue?
1 Comment
RV
AWS Glue is a fully managed extract, transform, and load (ETL) service offered by Amazon Web Services.
Features of AWS glue are
1.Data Catalog: AWS Glue...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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