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AWS Data Pipeline [EOL] vs Tray.io comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

AWS Data Pipeline [EOL]
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Tray.io
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Process Automation (55th), Cloud Data Integration (30th), Low-Code Development Platforms (72nd), Integration Platform as a Service (iPaaS) (23rd)
 

Featured Reviews

BR
Senior Director Data Architecture at Managed Markets Insight & Technology, LLC
A tool with great orchestration and development capabilities but needs to improve its user-defined functions
In the tool, parallel processing is an area that is contingent, in the sense that you have to be watchful for the cap that you have in terms of computing behind AWS Data Pipeline. You need to always watch for some reason. I am capped with 200 nodes, and if I get to use more than 200 nodes, the AWS Data Pipeline will fail. AWS doesn't state that I have almost gone beyond my limits, and it is allowing me now to go beyond the set limits if I talk to a representative and figure it out. Such aforementioned warnings are not let out by AWS, and they end up failing the nodes if I go beyond the set cap limits.
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Top Industries

By visitors reading reviews
No data available
Computer Software Company
20%
Outsourcing Company
14%
Comms Service Provider
10%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
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Comparisons

 

Overview

 

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Copper, DigitalOcean, Udemy, AdRoll, FICO, Outreach
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration. Updated: January 2026.
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