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Informatica Enterprise Data Lake vs OpenText Integration Center [EOL] comparison

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Buyer's Guide
Data Integration
April 2024
Executive Summary

We performed a comparison between Informatica Enterprise Data Lake and OpenText Integration Center [EOL] based on real PeerSpot user reviews.

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Featured Review
Anonymous User
A scalable tool that needs a lot of maintenance due to its unstable nature
Use OpenText Integration Center [EOL]?
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 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
    What do you like most about Informatica Enterprise Data Lake?
    Top Answer:The process of using the tool's scalability option is well documented.
    What is your experience regarding pricing and costs for Informatica Enter...
    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 »
    What needs improvement with Informatica Enterprise Data Lake?
    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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    Earn 20 points

    Ranking
    41st
    out of 100 in Data Integration
    Views
    434
    Comparisons
    413
    Reviews
    1
    Average Words per Review
    832
    Rating
    7.0
    Unranked
    In Data Integration
    Comparisons
    Also Known As
    Informatica Intelligent Data Lake, Intelligent Data Lake
    Learn More
    Informatica
    OpenText
    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. 

    OpenText Integration Center helps organizations fuse traditional data management and enterprise content management approaches into a single comprehensive information management strategy, which allows organizations to realize the true value of their people, processes, and information. Through supporting a complete view of the relevant information across the enterprise, the Integration Center helps organizations ensure that all critical business decisions are based on current and complete information, regardless of its location or format, for the purposes of business intelligence, governance, and process optimization.
    Sample Customers
    Information Not Available
    The Mosaic Company
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Manufacturing Company11%
    Computer Software Company11%
    Healthcare Company9%
    No Data Available
    Company Size
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise11%
    Large Enterprise78%
    No Data Available
    Buyer's Guide
    Data Integration
    April 2024
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    Informatica Enterprise Data Lake is ranked 41st in Data Integration with 1 review while OpenText Integration Center [EOL] doesn't meet the minimum requirements to be ranked in Data Integration. Informatica Enterprise Data Lake is rated 7.0, while OpenText Integration Center [EOL] 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 OpenText Integration Center [EOL] is most compared with .

    See our list of best Data Integration vendors.

    We monitor all 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.