Informatica Enterprise Data Lake vs Tray.io comparison

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424 views|406 comparisons
100% willing to recommend
Tray.io Logo
259 views|222 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Informatica Enterprise Data Lake 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: April 2024).
769,599 professionals have used our research since 2012.
Featured Review
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Quotes From Members
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Here are some excerpts of what they said:
Pricing and Cost Advice
  • "The licenses attached to the solution are highly priced."
  • More Informatica Enterprise Data Lake Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The process of using the tool's scalability option is well documented.
    Top Answer:The licenses attached to the solution are highly priced. Informatica has licensing models for every product and for every feature, like the web service feature, which is something my company doesn't… more »
    Top Answer:Governance, data dictionary, and data cataloging are not available in Informatica Enterprise Data Lake. A lot of businesses are facing issues related to understanding the area revolving around… more »
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    Ranking
    41st
    out of 101 in Data Integration
    Views
    424
    Comparisons
    406
    Reviews
    1
    Average Words per Review
    832
    Rating
    7.0
    27th
    Views
    259
    Comparisons
    222
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Informatica Intelligent Data Lake, Intelligent Data Lake
    Learn More
    Overview

    The Intelligent Data Lake enables raw big data to be systematically transformed into fit-for-purpose data sets for a variety of data consumers. Data scientists and analysts can quickly find the data they’re looking for using semantic and faceted search. They can see data profiles, lineage, and other relationships to know whether they can trust the data and whether it’s fit-for-use in their analytic projects. 

    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
    Information Not Available
    Copper, DigitalOcean, Udemy, AdRoll, FICO, Outreach
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Manufacturing Company12%
    Computer Software Company12%
    Healthcare Company6%
    VISITORS READING REVIEWS
    Computer Software Company32%
    Manufacturing Company7%
    Non Profit7%
    Insurance Company6%
    Company Size
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise12%
    Large Enterprise77%
    VISITORS READING REVIEWS
    Small Business36%
    Midsize Enterprise16%
    Large Enterprise49%
    Buyer's Guide
    Cloud Data Integration
    April 2024
    Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: April 2024.
    769,599 professionals have used our research since 2012.

    Informatica Enterprise Data Lake is ranked 41st in Data Integration with 1 review while Tray.io is ranked 27th in Cloud Data Integration. Informatica Enterprise Data Lake is rated 7.0, while Tray.io is rated 0.0. The top reviewer of Informatica Enterprise Data Lake writes "A scalable tool that needs a lot of maintenance due to its unstable nature". On the other hand, Informatica Enterprise Data Lake is most compared with Palantir Foundry, whereas Tray.io is most compared with Zapier, Workato and TIBCO Scribe.

    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.