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Compare Informatica Data Engineering and Power Query 
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At a Glance
Market Segments
Enterprise (57.7% of reviews)
Mid-Market (53.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Informatica 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 EngineeringPower Query
Star Rating
(15)4.5 out of 5
Market Segments
Mid-Market (53.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Power QuerySummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Informatica Data Engineering excels in its extraction capabilities, with a score of 8.6, allowing for seamless data integration from various sources, while Power Query, although user-friendly, has a slightly lower extraction score, which some users feel limits its versatility in complex data environments.
- Reviewers mention that the transformation features in Informatica Data Engineering are robust, scoring 8.9, which is particularly beneficial for enterprises needing advanced data manipulation. In contrast, Power Query also scores 8.9 but is often highlighted for its intuitive interface, making it easier for mid-market users to perform transformations without extensive training.
- G2 users indicate that Informatica Data Engineering's automation capabilities, rated at 8.8, are a standout feature, enabling users to schedule and automate data workflows efficiently. Power Query, while offering automation, does not match the same level of sophistication, which some users find limiting for large-scale operations.
- Users on G2 report that the scalability of Informatica Data Engineering, with a score of 8.5, is particularly advantageous for enterprises that anticipate significant data growth, whereas Power Query, while suitable for mid-market applications, may struggle under the same heavy loads, as noted by some reviewers.
- Reviewers mention that both products have a quality of support rated at 8.6, but users of Informatica Data Engineering often highlight the availability of dedicated support teams for enterprise clients, which can be a crucial factor for businesses requiring immediate assistance.
- Users say that the product direction for Power Query is rated at a perfect 10.0, indicating strong confidence in its future development and enhancements, which is a significant consideration for buyers looking for long-term software viability, while Informatica Data Engineering does not have a comparable score in this area.
Pricing
Entry-Level Pricing
Informatica Data Engineering
No pricing availablePower Query
No pricing availableFree Trial
Informatica Data Engineering
No trial information availablePower Query
No trial information availableRatings
Meets Requirements
8.9
6
8.7
14
Ease of Use
8.9
6
8.9
15
Ease of Setup
Not enough data
Not enough data
Ease of Admin
Not enough data
Not enough data
Quality of Support
8.6
6
8.6
14
Has the product been a good partner in doing business?
Not enough data
Not enough data
Product Direction (% positive)
Not enough data
10.0
15
Features by Category
Management
Not enough data
9.0
14
Not enough data
8.5
14
Functionality
Not enough data
8.6
14
Not enough data
8.9
14
Not enough data
8.3
14
Not enough data
8.8
14
Not enough data
8.5
14
Categories
Categories
Shared Categories
Informatica Data Engineering and Power Query are categorized as ETL Tools
Unique Categories
Informatica Data Engineering is categorized as On-Premise Data Integration
Power Query has no unique categories
Reviews
Reviewers' Company Size
Informatica Data Engineering
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Power Query
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
15.4%
Information Technology and Services
11.5%
Insurance
7.7%
Health, Wellness and Fitness
7.7%
Financial Services
7.7%
Other
50.0%
Financial Services
13.3%
Transportation/Trucking/Railroad
6.7%
Telecommunications
6.7%
Retail
6.7%
Non-Profit Organization Management
6.7%
Other
60.0%
Alternatives
Discussions
Informatica Data Engineering has no discussions with answers
Power Query has no discussions with answers
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