Introducing G2.ai, the future of software buying.Try now

Compare Informatica Data Engineering and Informatica PowerCenter

Save
    Log in to your account
    to save comparisons,
    products and more.
At a Glance
Informatica Data Engineering
Informatica Data Engineering
Star Rating
(27)4.4 out of 5
Market Segments
Enterprise (57.7% of reviews)
Information
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Informatica Data Engineering
Informatica PowerCenter
Informatica PowerCenter
Star Rating
(85)4.4 out of 5
Market Segments
Enterprise (78.2% of reviews)
Information
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Informatica PowerCenter
AI Generated Summary
AI-generated. Powered by real user reviews.
  • Users report that Informatica PowerCenter excels in data transformation capabilities, with a score of 9.1, making it a preferred choice for complex data workflows. In contrast, Informatica Data Engineering also performs well in this area but has a slightly lower score of 9.0.
  • Reviewers mention that the ease of use for Informatica Data Engineering is rated higher at 8.9 compared to Informatica PowerCenter's 8.1, indicating that users find the former more intuitive for everyday tasks.
  • G2 users highlight that Informatica PowerCenter offers robust data security features, scoring 9.2, which is crucial for enterprises handling sensitive information. Informatica Data Engineering, while also secure, does not match this level of assurance.
  • Users on G2 report that the reporting functionality in Informatica PowerCenter is rated at 8.5, which some find less comprehensive compared to the higher ratings for data visualization in Informatica Data Engineering at 9.2, suggesting a stronger focus on visual analytics in the latter.
  • Reviewers say that the automation capabilities of Informatica PowerCenter, with a score of 8.5, are beneficial for streamlining processes, but users of Informatica Data Engineering appreciate its orchestration features, which also score 8.5, indicating a competitive edge in managing workflows.
  • Users report that while both products have strong database management capabilities, Informatica PowerCenter's score of 9.0 stands out, suggesting it may be better suited for enterprises with extensive database needs compared to Informatica Data Engineering.
Pricing
Entry-Level Pricing
Informatica Data Engineering
No pricing available
Informatica PowerCenter
No pricing available
Free Trial
Informatica Data Engineering
No trial information available
Informatica PowerCenter
No trial information available
Ratings
Meets Requirements
8.9
6
8.8
67
Ease of Use
8.9
6
8.1
67
Ease of Setup
Not enough data
7.4
35
Ease of Admin
Not enough data
7.9
33
Quality of Support
8.6
6
8.5
63
Has the product been a good partner in doing business?
Not enough data
8.1
32
Product Direction (% positive)
Not enough data
9.1
62
Features by Category
Not enough data
8.7
13
Administration
Not enough data
9.0
12
Not enough data
8.2
12
Not enough data
9.2
12
Federation
Not enough data
8.9
12
Not enough data
8.5
11
Not enough data
8.5
10
Not enough data
8.3
11
Transformation
Not enough data
9.2
12
Not enough data
8.8
12
Not enough data
8.8
12
Not enough data
8.9
20
Management
Not enough data
8.9
19
Not enough data
8.6
15
Functionality
Not enough data
9.2
19
Not enough data
9.1
19
Not enough data
9.2
19
Not enough data
8.5
19
Not enough data
8.7
17
Not enough data
8.9
14
Functionality
Not enough data
8.8
10
Not enough data
9.1
13
Not enough data
9.0
13
Not enough data
8.8
13
Not enough data
8.8
12
Not enough data
8.9
12
Not enough data
8.9
11
Not enough data
8.5
11
Categories
Categories
Shared Categories
Informatica Data Engineering
Informatica Data Engineering
Informatica PowerCenter
Informatica PowerCenter
Informatica Data Engineering and Informatica PowerCenter are categorized as ETL Tools and On-Premise Data Integration
Unique Categories
Informatica Data Engineering
Informatica Data Engineering has no unique categories
Informatica PowerCenter
Informatica PowerCenter is categorized as Data Virtualization and Data Mapping
Reviews
Reviewers' Company Size
Informatica Data Engineering
Informatica Data Engineering
Small-Business(50 or fewer emp.)
23.1%
Mid-Market(51-1000 emp.)
19.2%
Enterprise(> 1000 emp.)
57.7%
Informatica PowerCenter
Informatica PowerCenter
Small-Business(50 or fewer emp.)
6.4%
Mid-Market(51-1000 emp.)
15.4%
Enterprise(> 1000 emp.)
78.2%
Reviewers' Industry
Informatica Data Engineering
Informatica Data Engineering
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%
Informatica PowerCenter
Informatica PowerCenter
Information Technology and Services
35.9%
Insurance
7.7%
Financial Services
6.4%
Banking
6.4%
Computer Software
5.1%
Other
38.5%
Alternatives
Informatica Data Engineering
Informatica Data Engineering Alternatives
Databricks Data Intelligence Platform
Databricks Data Intelligence Platform
Add Databricks Data Intelligence Platform
SnapLogic Intelligent Integration Platform (IIP)
SnapLogic
Add SnapLogic Intelligent Integration Platform (IIP)
MuleSoft Anypoint Platform
MuleSoft Anypoint Platform
Add MuleSoft Anypoint Platform
Fivetran
Fivetran
Add Fivetran
Informatica PowerCenter
Informatica PowerCenter Alternatives
Talend Data Integration
Talend
Add Talend Data Integration
Pentaho Data Integration
Pentaho Data Integration
Add Pentaho Data Integration
AWS Glue
AWS Glue
Add AWS Glue
Alteryx
Alteryx
Add Alteryx
Discussions
Informatica Data Engineering
Informatica Data Engineering Discussions
Monty the Mongoose crying
Informatica Data Engineering has no discussions with answers
Informatica PowerCenter
Informatica PowerCenter Discussions
Monty the Mongoose crying
Informatica PowerCenter has no discussions with answers