Compare AWS Data Pipeline and Informatica PowerCenter

At a Glance
AWS Data Pipeline
AWS Data Pipeline
Star Rating
(24)4.1 out of 5
Market Segments
Mid-Market (61.9% of reviews)
Information
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about AWS Data Pipeline
Informatica PowerCenter
Informatica PowerCenter
Star Rating
(88)4.3 out of 5
Market Segments
Enterprise (78.2% of reviews)
Information
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Informatica PowerCenter

AWS Data Pipeline vs Informatica PowerCenter

When assessing the two solutions, reviewers found AWS Data Pipeline easier to use. However, Informatica PowerCenter is easier to set up and administer. Reviewers also preferred doing business with Informatica PowerCenter overall.

  • Reviewers felt that AWS Data Pipeline meets the needs of their business better than Informatica PowerCenter.
  • When comparing quality of ongoing product support, reviewers felt that Informatica PowerCenter is the preferred option.
  • For feature updates and roadmaps, our reviewers preferred the direction of Informatica PowerCenter over AWS Data Pipeline.
Pricing
Entry-Level Pricing
AWS Data Pipeline
No pricing available
Informatica PowerCenter
No pricing available
Free Trial
AWS Data Pipeline
No trial information available
Informatica PowerCenter
No trial information available
Ratings
Meets Requirements
9.1
18
8.7
68
Ease of Use
8.6
18
8.1
68
Ease of Setup
6.9
7
7.5
36
Ease of Admin
6.9
7
7.9
33
Quality of Support
8.3
17
8.5
64
Has the product been a good partner in doing business?
7.4
7
8.1
32
Product Direction (% positive)
6.1
18
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
9.0
21
Management
Not enough data
8.9
19
Not enough data
8.6
15
Functionality
Not enough data
9.3
20
Not enough data
9.2
20
Not enough data
9.3
20
Not enough data
8.6
20
Not enough data
8.8
18
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
AWS Data Pipeline
AWS Data Pipeline
Informatica PowerCenter
Informatica PowerCenter
AWS Data Pipeline and Informatica PowerCenter are categorized as ETL Tools
Unique Categories
AWS Data Pipeline
AWS Data Pipeline has no unique categories
Informatica PowerCenter
Informatica PowerCenter is categorized as Data Virtualization, On-Premise Data Integration, and Data Mapping
Reviews
Reviewers' Company Size
AWS Data Pipeline
AWS Data Pipeline
Small-Business(50 or fewer emp.)
14.3%
Mid-Market(51-1000 emp.)
61.9%
Enterprise(> 1000 emp.)
23.8%
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
AWS Data Pipeline
AWS Data Pipeline
Computer Software
23.8%
Telecommunications
14.3%
Information Technology and Services
9.5%
Financial Services
9.5%
Sports
4.8%
Other
38.1%
Informatica PowerCenter
Informatica PowerCenter
Information Technology and Services
35.9%
Insurance
7.7%
Banking
6.4%
Financial Services
6.4%
Computer Software
5.1%
Other
38.5%
Alternatives
AWS Data Pipeline
AWS Data Pipeline Alternatives
Azure Data Factory
Azure Data Factory
Add Azure Data Factory
Apache NiFi
Apache NiFi
Add Apache NiFi
Fivetran
Fivetran
Add Fivetran
Workato
Workato
Add Workato
Informatica PowerCenter
Informatica PowerCenter Alternatives
Pentaho Data Integration
Pentaho Data Integration
Add Pentaho Data Integration
AWS Glue
AWS Glue
Add AWS Glue
Alteryx
Alteryx
Add Alteryx
Databricks
Databricks
Add Databricks
Discussions
AWS Data Pipeline
AWS Data Pipeline Discussions
Monty the Mongoose crying
AWS Data Pipeline has no discussions with answers
Informatica PowerCenter
Informatica PowerCenter Discussions
What is Informatica PowerCenter used for?
1 Comment
gopal s.
GS
Informatica PowerCenter is widely used by organizations to integrate and manage data from multiple sources into one central system. It helps transform raw...Read more
Monty the Mongoose crying
Informatica PowerCenter has no more discussions with answers