Compare AWS Data Pipeline vs. iWay Data Hub

AWS Data Pipeline is ranked 28th in Cloud Data Integration while iWay Data Hub is ranked 49th in Data Integration Tools. AWS Data Pipeline is rated 0, while iWay Data Hub is rated 0. On the other hand, AWS Data Pipeline is most compared with AWS Database Migration Service, whereas iWay Data Hub is most compared with SSIS, SAP Process Orchestration and SAP Data Services.
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AWS Data Pipeline Logo
20 views|19 comparisons
iWay Data Hub Logo
367 views|325 comparisons
Ranking
28th
Views
20
Comparisons
19
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
49th
Views
367
Comparisons
325
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about Seeburger, MuleSoft, Matillion and others in Cloud Data Integration. Updated: May 2020.
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Top Comparisons
Compared 48% of the time.
Compared 22% of the time.
Also Known As
Data Hub, Information Builders Data Hub
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Information Builders
Overview

AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. ... AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premises data silos.

Creates a master version of every identified entity, organizes data into hierarchies for each user, and synchronizes information.

Offer
Learn more about AWS Data Pipeline
Learn more about iWay Data Hub
Sample Customers
bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workdayFord Motor Company, City of Erlanger, Kentucky Police Dept., Helzberg Diamond Inc.
Find out what your peers are saying about Seeburger, MuleSoft, Matillion and others in Cloud Data Integration. Updated: May 2020.
418,901 professionals have used our research since 2012.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.