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ETL Tools
Informatica Data Engineering
Power Query
Informatica Data Engineering-vs-Power Query
Compare Informatica Data Engineering and Power Query
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At a Glance
Pricing
Ratings
Features
Reviews
Alternatives
Discussions
Add Product
Informatica Data Engineering
(27)
4.4
out of
5
Informatica Data Engineering
By
Informatica
Power Query
(16)
4.4
out of
5
Power Query
By
Microsoft
At a Glance
Star Rating
(27)
4.4
out of
5
(16)
4.4
out of
5
Market Segments
Enterprise (57.7% of reviews)
Information
Mid-Market (50.0% of reviews)
Information
Pros & Cons
Automation
(1)
Cloud Integration
(1)
Performance Issues
(1)
Slow Data Loading
(1)
Automation
(1)
Ease of Use
(1)
Lack of Real-Time Data
(1)
Refresh Issues
(1)
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)
Information
Pros & Cons
Automation
(1)
Cloud Integration
(1)
Performance Issues
(1)
Slow Data Loading
(1)
Entry-Level Pricing
No pricing available
Learn more about Informatica Data Engineering
Power Query
Star Rating
(16)
4.4
out of
5
Market Segments
Mid-Market (50.0% of reviews)
Information
Pros & Cons
Automation
(1)
Ease of Use
(1)
Lack of Real-Time Data
(1)
Refresh Issues
(1)
Entry-Level Pricing
No pricing available
Learn more about Power Query
Pricing
Entry-Level Pricing
Informatica Data Engineering
No pricing available
Power Query
No pricing available
Free Trial
Informatica Data Engineering
No trial information available
Power Query
No trial information available
Ratings
Meets Requirements
8.9
6
8.6
15
Ease of Use
8.9
6
8.9
16
Ease of Setup
Not enough data
8.3
5
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
16
Features by Category
ETL Tools
Hide 7 Features
Show 7 Features
Not enough data
8.7
15
Management
Reporting
Not enough data
9.0
(won by default)
14
Auditing
Not enough data
8.5
(won by default)
14
Functionality
Extraction
Not enough data
8.6
(won by default)
15
Transformation
Not enough data
9.0
(won by default)
15
Loading
Not enough data
8.3
(won by default)
14
Automation
Not enough data
8.8
(won by default)
14
Scalability
Not enough data
8.5
(won by default)
14
Categories
Categories
Shared Categories
Informatica Data Engineering
Power Query
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.)
23.1%
Mid-Market
(51-1000 emp.)
19.2%
Enterprise
(> 1000 emp.)
57.7%
Power Query
Small-Business
(50 or fewer emp.)
31.3%
Mid-Market
(51-1000 emp.)
50.0%
Enterprise
(> 1000 emp.)
18.8%
Small-Business
(50 or fewer emp.)
23.1%
31.3%
Mid-Market
(51-1000 emp.)
19.2%
50.0%
Enterprise
(> 1000 emp.)
57.7%
18.8%
Reviewers' Industry
Informatica Data Engineering
Computer Software
15.4%
Information Technology and Services
11.5%
Banking
7.7%
Insurance
7.7%
Health, Wellness and Fitness
7.7%
Other
50.0%
Power Query
Financial Services
12.5%
Transportation/Trucking/Railroad
6.3%
Telecommunications
6.3%
Retail
6.3%
Non-Profit Organization Management
6.3%
Other
62.5%
Alternatives
Informatica Data Engineering Alternatives
Databricks
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SnapLogic
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Fivetran
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See all alternatives
Power Query Alternatives
Google Cloud BigQuery
Add Google Cloud BigQuery
Databricks
Add Databricks
Alteryx
Add Alteryx
Supermetrics
Add Supermetrics
See all alternatives
Discussions
Informatica Data Engineering Discussions
Informatica Data Engineering has no discussions with answers
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Power Query Discussions
Power Query has no discussions with answers
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Ask Informatica Data Engineering a Question
Contact Informatica Data Engineering
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Informatica Data Engineering
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