Compare AWS Glue and Azure Data Factory 
At a Glance
Market Segments
Enterprise (47.6% of reviews)
Enterprise (61.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
AWS Glue
Star Rating
(193)4.2 out of 5
Market Segments
Enterprise (47.6% of reviews)
Entry-Level Pricing
No pricing available
Learn more about AWS GlueAzure Data Factory
Star Rating
(81)4.6 out of 5
Market Segments
Enterprise (61.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Azure Data FactorySummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that AWS Glue excels in its Data Transformation capabilities, with a score of 8.8, while Azure Data Factory shines even brighter with a score of 9.3, indicating a more robust set of transformation features that users find beneficial for complex data workflows.
- Reviewers mention that AWS Glue's Data Loading functionality is strong, scoring 9.2, but Azure Data Factory outperforms it with a score of 9.4, suggesting that users find Azure's loading processes to be more efficient and reliable.
- G2 users highlight AWS Glue's Scalability with a score of 8.8, but they note that Azure Data Factory's higher score of 9.3 indicates a more flexible and scalable solution, which is crucial for enterprises dealing with large datasets.
- Users on G2 report that AWS Glue has a solid Data Quality and Cleansing feature with a score of 8.9, while Azure Data Factory's score of 9.3 suggests that it offers superior tools for ensuring data integrity and quality, which is a key concern for data professionals.
- Reviewers say that AWS Glue's Automation features score 8.7, but Azure Data Factory's higher score of 9.2 indicates that users find Azure's automation capabilities to be more comprehensive and user-friendly, enhancing productivity.
- Users report that AWS Glue's Quality of Support is rated at 8.4, while Azure Data Factory receives a higher score of 8.8, suggesting that users feel more supported and satisfied with the assistance they receive from Azure's support team.
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Pricing
Entry-Level Pricing
AWS Glue
No pricing availableAzure Data Factory
No pricing availableFree Trial
AWS Glue
Free Trial is available
Azure Data Factory
No trial information availableRatings
Meets Requirements
8.5
151
9.2
60
Ease of Use
8.4
153
9.0
61
Ease of Setup
8.6
68
9.0
26
Ease of Admin
8.3
64
8.4
20
Quality of Support
8.4
149
8.8
56
Has the product been a good partner in doing business?
8.8
64
9.3
20
Product Direction (% positive)
9.0
150
9.8
56
Features by Category
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
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Data Source Access
8.5
60
Not enough data
8.4
59
Not enough data
8.5
56
Not enough data
Data Interaction
8.3
56
Not enough data
8.5
60
Not enough data
8.3
60
Not enough data
8.8
60
Not enough data
8.6
54
Not enough data
8.9
59
Not enough data
8.6
56
Not enough data
8.2
57
Not enough data
Data Exporting
8.5
57
Not enough data
8.2
58
Not enough data
8.3
60
Not enough data
Generative AI
Feature Not Available
Not enough data
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
8.5
40
8.7
56
8.4
39
Functionality
9.0
67
9.1
43
8.8
69
9.3
43
9.2
68
9.4
40
8.7
65
9.2
43
8.8
65
9.3
41
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
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
Categories
Categories
Shared Categories
AWS Glue and Azure Data Factory are categorized as Big Data Integration Platforms and ETL Tools
Unique Categories
AWS Glue is categorized as AWS Marketplace, Data Replication, Data Virtualization, Data Preparation, and Machine Learning Data Catalog
Azure Data Factory has no unique categories
Reviews
Reviewers' Company Size
AWS Glue
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Azure Data Factory
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
17.8%
Computer Software
14.6%
Financial Services
6.5%
Hospital & Health Care
5.4%
Computer & Network Security
4.3%
Other
51.4%
Information Technology and Services
33.8%
Computer Software
14.3%
Airlines/Aviation
5.2%
Retail
3.9%
Hospital & Health Care
3.9%
Other
39.0%
Most Helpful Reviews
AWS Glue
Most Helpful Favorable Review
Verified User in Transportation/Trucking/Railroad
It is easily used with spark code, easy logging with cloudwatch and easy to debug.Run time is also very less compared to other etl tools
Most Helpful Critical Review
Sonali A.
Verified User in Information Services
AWS Glue is not user friendly,the transformation components that we have are not useful in different scenarios and we need to use custom transformation for everything,including even very basic operations.
Azure Data Factory
Most Helpful Favorable Review
Ajinkya D.
Verified User in Information Technology and Services
Ease to making and deploying the data pipeline in Azure Data factory and best for all migration of large of amount of database .
Most Helpful Critical Review
Ravindra J.
Verified User in Transportation/Trucking/Railroad
SOmetimes it becomes difficult to comprehend the errors due to which the data pipeline fails. Even after looking on internet doesn't help so may be the error message can be improved which helps users to comprehend and easily resolve it.
Verified User in Transportation/Trucking/Railroad
It is easily used with spark code, easy logging with cloudwatch and easy to debug.Run time is also very less compared to other etl tools
Ajinkya D.
Verified User in Information Technology and Services
Ease to making and deploying the data pipeline in Azure Data factory and best for all migration of large of amount of database .
Sonali A.
Verified User in Information Services
AWS Glue is not user friendly,the transformation components that we have are not useful in different scenarios and we need to use custom transformation for everything,including even very basic operations.
Ravindra J.
Verified User in Transportation/Trucking/Railroad
SOmetimes it becomes difficult to comprehend the errors due to which the data pipeline fails. Even after looking on internet doesn't help so may be the error message can be improved which helps users to comprehend and easily resolve it.
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
Is Azure data Factory an ETL tool?
1 comment
DM
Yes Azure Data Factory is a No-Code ETL tool. Very easy to use.Read more
Azure Data Factory has no more discussions with answers
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