AWS Data Pipeline [EOL] vs Tray.io comparison

Amazon Web Services (AWS) and Tray.io are both solutions in the Cloud Data Integration category. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Tray.io users who would recommend it.

AWS Data Pipeline [EOL]

Read 2 AWS Data Pipeline [EOL] reviews

100% willing to recommend

Tray.io

Read 3 Tray.io reviews

1,635 Views
474 Comparison Views

100% willing to recommend

AWS Data Pipeline [EOL]

Tray.io

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between AWS Data Pipeline [EOL] and Tray.io based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration.

To learn more, read our detailed Cloud Data Integration Report (Updated: May 2026).

Buyer's Guide

Cloud Data Integration

May 2026

Download the complete report

Helped 892,678 peers since 2012

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

Ranking in other categories

No ranking in other categories

Tray.io

Average Rating

7.4

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

Process Automation (29th), Cloud Data Integration (22nd), Low-Code Development Platforms (27th), Integration Platform as a Service (iPaaS) (17th)

Featured Reviews

BarathwajRamamoorthy

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.

Read full review

Samuele Sois

Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees

Marketing A/B tests have gained deeper insights from user behavior and unified global reporting

The best features Tray.io offers include excellent visualization capabilities and a dashboard, which stand out to me the most. I appreciate that it is very easy to convert the data we receive from Tray.io into dashboards from Power BI, which is extremely useful. I would also appreciate if in the future Tray.io provides a way to natively convert the data to Tableau. Tray.io has positively impacted my organization as it provides a trusted way to organize data results and share them throughout the company at once. As a multinational and very large company, it is definitely beneficial that those of us in the UK can use the same format that colleagues use in India, and the entire data architecture is framed within a trusted system from an established organization. As far as I know, Tray.io has been operating for the last 12 years, making it a very reliable system.

Read full review

Quotes from Members

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

Pros

"It is a stable solution...It is a scalable solution."

"The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool."

"Tray.io has positively impacted my organization by helping us keep our internal database and this third-party service in sync, and it has really helped us automate a lot of that work because it is fairly straightforward to maintain and develop."

"Tray.io has positively impacted my organization as it provides a trusted way to organize data results and share them throughout the company at once."

"Tray.io has positively impacted my organization by reducing the amount of redundant tasks that our team performs by approximately 80%, and the numbers are quite significant with the workflows alone, as we are working towards creating and utilizing AI within these workflows as well."

Cons

"The user-defined functions have shortcomings in AWS Data Pipeline."

"It's almost semi-automatic because you must review and approve code push, which works well. Still, we had many problems getting there during the deployment process, but we got there."

"As our product got more complex, we needed to add more and more complexity to Tray.io in terms of our setup, and that is when the benefits of it being no-code or low-code started to pale in comparison to the cost of making everything slightly more complicated."

"One way Tray.io could be improved, especially for people coming in with no real coding experience, is with more comprehensive error messages."

"I have found that the error management in my main use case with Tray.io is not as effective as we would prefer."

Pricing and Cost Advice

"I rate the pricing between six to eight on a scale from one to ten, where one is low price, and ten is high price."

"The way we use it, I think it is fair as we're getting a good value for money compared to having a server or some other data pipeline."

Information not available

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.

See recommendations

892,678 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Construction Company

16%

Comms Service Provider

11%

Computer Software Company

10%

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

Ask a question

Earn 20 points

What needs improvement with Tray.io?

I believe Tray.io can be improved by offering integration with Tableau, which is still not available. I rated it an eight because there are still some things that can be improved, as I mentioned be...

See all answers

What is your primary use case for Tray.io?

My main use case for Tray.io is to conduct A/B testing for marketing initiatives that the company has undertaken. We test the deployment of different campaigns across similar cohorts and evaluate w...

See all answers

What advice do you have for others considering Tray.io?

My advice to others considering Tray.io is to trust the process because once the installation is complete, it is extremely easy to deploy and set up. I have rated this product an eight out of ten.

See all answers

Comparisons

AWS Glue vs AWS Data Pipeline [EOL]

Compared 39% of the time

Perspectium DataSync vs AWS Data Pipeline [EOL]

Compared 34% of the time

IBM InfoSphere DataStage vs AWS Data Pipeline [EOL]

Compared 27% of the time

More AWS Data Pipeline [EOL] Competitors

Zapier vs Tray.io

Compared 16% of the time

MuleSoft Anypoint Platform vs Tray.io

Compared 12% of the time

SnapLogic vs Tray.io

Compared 11% of the time

Workato vs Tray.io

Compared 11% of the time

Celigo Integration Platform vs Tray.io

Compared 9% of the time

More Tray.io Competitors

Product Reports

Buyer's Guide

Cloud Data Integration

May 2026

Download AWS Data Pipeline [EOL] product report

Buyer's Guide

Tray.io

April 2026

Download Tray.io product report

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.

Amazon Web Services (AWS)

Tray.io is an advanced integration platform that allows seamless connectivity between applications, designed to automate workflows and streamline business processes.

Tray.io provides an extensive library of pre-built connectors and powerful automation tools, making it easy for businesses to boost efficiency. Its drag-and-drop workflow builder enables integration without code, catering to both technical and non-technical users. Being highly customizable and scalable, Tray.io helps companies adapt quickly to changing requirements, ensuring smooth operations and effective data management.

What are the key features of Tray.io?

Visual Workflow Builder: Offers an intuitive drag-and-drop interface for easy workflow creation.
Pre-built Connectors: Extensive library allowing quick integration with popular apps and services.
Customizable Logic: Lets users define conditions and logic that fit their business needs.
Scalability: Supports growing volumes and complex automations smoothly.
Error Handling: Efficiently detects and manages errors within workflows.

What benefits should users look for in reviews?

Improved Efficiency: Automates routine tasks, freeing up resources for strategic activities.
Cost-effectiveness: Reduces operational costs through smart automation.
Flexibility: Adapts to business-specific processes and changes in scale.
Reduced Development Time: Saves time with no-code integrations and pre-built connectors.

Tray.io is utilized across diverse industries such as e-commerce, where it integrates order management systems to provide seamless customer experiences. In marketing, it connects CRM platforms to enhance lead nurturing. In finance, it streamlines data flow between accounting software, improving financial reporting accuracy.

Tray.io

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

Copper, DigitalOcean, Udemy, AdRoll, FICO, Outreach

Buyer's Guide

Cloud Data Integration

May 2026

Download Free Report

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration. Updated: May 2026.

DOWNLOAD NOW

892,678 professionals have used our research since 2012.

See our list of best Cloud Data Integration vendors.

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.