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Compare AWS Data Pipeline and Azure Data Factory 
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At a Glance
Market Segments
Mid-Market (61.9% of reviews)
Enterprise (63.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
AWS Data Pipeline
Star Rating
(24)4.1 out of 5
Market Segments
Mid-Market (61.9% of reviews)
Entry-Level Pricing
No pricing available
Learn more about AWS Data PipelineAzure Data Factory
Star Rating
(87)4.6 out of 5
Market Segments
Enterprise (63.0% 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 Data Pipeline excels in its extraction capabilities, with a score of 9.1, allowing for seamless integration with various data sources. In contrast, Azure Data Factory also performs well in this area but is noted for its superior transformation features, scoring 9.3, which reviewers say enhances data manipulation and preparation.
- Reviewers mention that Azure Data Factory's ease of setup is a significant advantage, scoring 9.0 compared to AWS Data Pipeline's lower score of 6.9. Users on G2 appreciate the intuitive interface and streamlined onboarding process of Azure Data Factory, making it more accessible for new users.
- G2 users highlight the automation capabilities of AWS Data Pipeline, scoring 9.2, which allows for efficient scheduling and execution of data workflows. However, users report that Azure Data Factory's automation features are more robust, particularly with its integration of triggers and monitoring tools, leading to a higher overall satisfaction.
- Reviewers mention that the quality of support for Azure Data Factory is rated higher at 8.8 compared to AWS Data Pipeline's 8.3. Users appreciate the responsiveness and helpfulness of Azure's support team, which they say contributes to a better overall experience when troubleshooting issues.
- Users say that AWS Data Pipeline's scalability is impressive, with a score of 9.3, allowing businesses to handle large volumes of data efficiently. However, Azure Data Factory is often praised for its flexibility in scaling resources dynamically, which reviewers mention is crucial for adapting to changing data workloads.
- Reviewers report that the product direction for Azure Data Factory is highly rated at 9.8, indicating strong confidence in its future development and feature enhancements. In contrast, AWS Data Pipeline's lower score of 6.1 suggests some uncertainty among users regarding its long-term roadmap and updates.
Pricing
Entry-Level Pricing
AWS Data Pipeline
No pricing availableAzure Data Factory
No pricing availableFree Trial
AWS Data Pipeline
No trial information availableAzure Data Factory
No trial information availableRatings
Meets Requirements
9.1
18
9.2
65
Ease of Use
8.6
18
8.9
66
Ease of Setup
6.9
7
9.2
31
Ease of Admin
6.9
7
8.6
23
Quality of Support
8.3
17
8.8
60
Has the product been a good partner in doing business?
7.4
7
9.3
22
Product Direction (% positive)
6.1
18
9.8
61
Features by Category
Management
Not enough data
8.4
45
Not enough data
8.4
44
Functionality
Not enough data
9.1
47
Not enough data
9.1
47
Not enough data
9.3
44
Not enough data
9.1
47
Not enough data
9.1
45
Categories
Categories
Shared Categories
AWS Data Pipeline and Azure Data Factory are categorized as ETL Tools
Unique Categories
AWS Data Pipeline has no unique categories
Azure Data Factory is categorized as Big Data Integration Platforms
Reviews
Reviewers' Company Size
AWS Data Pipeline
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
Computer Software
23.8%
Telecommunications
14.3%
Information Technology and Services
9.5%
Financial Services
9.5%
Sports
4.8%
Other
38.1%
Information Technology and Services
32.9%
Computer Software
12.2%
Financial Services
6.1%
Retail
4.9%
Airlines/Aviation
4.9%
Other
39.0%
Discussions
AWS Data Pipeline has no discussions with answers
Is Azure data Factory an ETL tool?
2 Comments
AG
yesRead more
Azure Data Factory has no more discussions with answers
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