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Compare Azure Data Factory and Informatica Data Engineering 
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At a Glance
Market Segments
Enterprise (63.0% of reviews)
Enterprise (57.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure 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 FactoryInformatica Data Engineering
Star Rating
(27)4.4 out of 5
Market Segments
Enterprise (57.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Informatica Data EngineeringSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Azure Data Factory excels in its "Integration Runtime" feature, allowing seamless data movement across various environments, which reviewers mention as a significant advantage for hybrid cloud scenarios.
- Reviewers mention that Informatica Data Engineering shines with its "Data Quality" capabilities, providing robust data cleansing and validation features that users say are essential for maintaining data integrity in large-scale projects.
- G2 users highlight Azure Data Factory's "Mapping Data Flow" as a powerful tool for visual data transformation, with users reporting that it simplifies complex data workflows compared to Informatica's more traditional approach.
- Users on G2 report that Informatica Data Engineering offers superior "Version Control" features, which reviewers say are crucial for teams needing to manage multiple data pipeline versions effectively.
- Reviewers mention that Azure Data Factory's "Monitoring and Management" dashboard is user-friendly and provides real-time insights, while users report that Informatica's dashboard can be less intuitive, making it harder to track performance metrics.
- Users say that Azure Data Factory's pricing model is more flexible for startups and smaller enterprises, while reviewers mention that Informatica Data Engineering tends to be more expensive, which could be a barrier for smaller organizations.
Pricing
Entry-Level Pricing
Azure Data Factory
No pricing availableInformatica Data Engineering
No pricing availableFree Trial
Azure Data Factory
No trial information availableInformatica Data Engineering
No trial information availableRatings
Meets Requirements
9.2
65
8.9
6
Ease of Use
8.9
66
8.9
6
Ease of Setup
9.2
31
Not enough data
Ease of Admin
8.6
23
Not enough data
Quality of Support
8.8
60
8.6
6
Has the product been a good partner in doing business?
9.3
22
Not enough data
Product Direction (% positive)
9.8
61
Not enough data
Features by Category
Management
8.4
45
Not enough data
8.4
44
Not enough data
Functionality
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
Not enough data
Categories
Categories
Shared Categories
Azure Data Factory and Informatica Data Engineering are categorized as ETL Tools
Unique Categories
Azure Data Factory is categorized as Big Data Integration Platforms
Informatica Data Engineering is categorized as On-Premise Data Integration
Reviews
Reviewers' Company Size
Azure Data Factory
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Informatica Data Engineering
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
32.9%
Computer Software
12.2%
Financial Services
6.1%
Retail
4.9%
Airlines/Aviation
4.9%
Other
39.0%
Computer Software
15.4%
Information Technology and Services
11.5%
Insurance
7.7%
Health, Wellness and Fitness
7.7%
Financial Services
7.7%
Other
50.0%
Alternatives
Discussions
Is Azure data Factory an ETL tool?
2 Comments
AG
yesRead more
Azure Data Factory has no more discussions with answers
Informatica Data Engineering has no discussions with answers
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