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Compare AWS Lake Formation and Azure Data Factory 
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At a Glance
Market Segments
Small-Business (45.2% of reviews)
Enterprise (63.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
AWS Lake Formation
Star Rating
(36)4.4 out of 5
Market Segments
Small-Business (45.2% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about AWS Lake FormationAzure Data Factory
Star Rating
(87)4.6 out of 5
Market Segments
Enterprise (63.0% of reviews)
Pros & Cons
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 Azure Data Factory excels in its extraction, transformation, and loading (ETL) capabilities, with a score of 9.1 for extraction and 9.3 for transformation, making it a strong choice for complex data workflows. In contrast, AWS Lake Formation, while effective, received slightly lower scores in these areas, indicating it may not be as robust for users with extensive ETL needs.
- Reviewers mention that Azure Data Factory's automation features are highly rated at 9.2, allowing for seamless scheduling and orchestration of data pipelines. AWS Lake Formation, while offering automation, does not match this level of user satisfaction, scoring lower in this critical functionality.
- G2 users highlight Azure Data Factory's superior scalability with a score of 9.3, which is essential for enterprises dealing with large volumes of data. Users on G2 note that AWS Lake Formation, although capable, may face challenges in scaling efficiently for larger datasets, which could impact performance in high-demand scenarios.
- Reviewers mention that Azure Data Factory provides a more user-friendly experience, scoring 9.0 for ease of use, which is particularly beneficial for teams with varying levels of technical expertise. In comparison, AWS Lake Formation's ease of use score of 8.7 suggests that it may require a steeper learning curve for some users.
- Users say that Azure Data Factory's integration capabilities, particularly with Hadoop and Spark, are well-regarded, scoring 8.0 and 8.7 respectively. This makes it a preferred choice for organizations leveraging big data technologies. Conversely, AWS Lake Formation's integration features, while functional, do not receive the same level of acclaim, indicating potential limitations in this area.
- Reviewers mention that Azure Data Factory's quality of support is rated at 8.8, reflecting a strong commitment to customer service. In contrast, AWS Lake Formation's support score of 8.3 suggests that users may experience more challenges when seeking assistance, which could affect overall satisfaction with the product.
Pricing
Entry-Level Pricing
AWS Lake Formation
No pricing availableAzure Data Factory
No pricing availableFree Trial
AWS Lake Formation
Free Trial is available
Azure Data Factory
No trial information availableRatings
Meets Requirements
8.8
25
9.2
65
Ease of Use
8.7
25
8.9
66
Ease of Setup
8.3
10
9.2
31
Ease of Admin
8.0
9
8.6
23
Quality of Support
8.3
24
8.8
60
Has the product been a good partner in doing business?
9.0
8
9.3
22
Product Direction (% positive)
10.0
21
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
Database
8.0
11
Not enough data
8.6
11
Not enough data
8.6
12
Not enough data
Integrations
8.0
9
Not enough data
8.7
10
Not enough data
Platform
8.3
7
Not enough data
7.6
7
Not enough data
8.7
10
Not enough data
Processing
8.5
8
Not enough data
8.5
8
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
Categories
Categories
Shared Categories
AWS Lake Formation and Azure Data Factory are categorized as Big Data Integration Platforms
Unique Categories
AWS Lake Formation is categorized as Big Data Processing and Distribution
Azure Data Factory is categorized as ETL Tools
Reviews
Reviewers' Company Size
AWS Lake Formation
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
22.6%
Banking
9.7%
Retail
6.5%
Management Consulting
6.5%
Higher Education
6.5%
Other
48.4%
Information Technology and Services
32.9%
Computer Software
12.2%
Financial Services
6.1%
Retail
4.9%
Airlines/Aviation
4.9%
Other
39.0%
Alternatives
Discussions
AWS Lake Formation 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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