AWS Data Pipeline [EOL] vs Tray.io comparison

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259 views|221 comparisons
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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), MuleSoft, Matillion and others in Cloud Data Integration.
To learn more, read our detailed Cloud Data Integration Report (Updated: March 2024).
768,740 professionals have used our research since 2012.
Featured Review
BarathwajRamamoorthy
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "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."
  • "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."
  • More AWS Data Pipeline [EOL] Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool.
    Top Answer: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.
    Top Answer:The user-defined functions have shortcomings in AWS Data Pipeline. The user-defined functions could be one of the areas where I can write a custom function and embed it as a part of AWS Data Pipeline… more »
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    Ranking
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    In Cloud Data Integration
    27th
    Views
    259
    Comparisons
    221
    Reviews
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    Average Words per Review
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    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.

    The Tray Platform is the leading General Automation Platform, whose modern, serverless architecture empowers users to take full control of their data by automating mission-critical processes and integrating their entire tech stack.

    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Copper, DigitalOcean, Udemy, AdRoll, FICO, Outreach
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm18%
    Government9%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Computer Software Company32%
    Manufacturing Company7%
    Non Profit7%
    Insurance Company6%
    Company Size
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise15%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business35%
    Midsize Enterprise16%
    Large Enterprise49%
    Buyer's Guide
    Cloud Data Integration
    March 2024
    Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: March 2024.
    768,740 professionals have used our research since 2012.

    AWS Data Pipeline [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration with 2 reviews while Tray.io is ranked 27th in Cloud Data Integration. AWS Data Pipeline [EOL] is rated 8.0, while Tray.io is rated 0.0. The top reviewer of AWS Data Pipeline [EOL] writes "A tool with great orchestration and development capabilities but needs to improve its user-defined functions". On the other hand, AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, Oracle Data Integrator (ODI), FME and Perspectium DataSync, whereas Tray.io is most compared with Zapier, Workato, TIBCO Scribe and Mule Anypoint Platform.

    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.