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Informatica Enterprise Data Lake vs Precisely Connect comparison

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Buyer's Guide
Data Integration
April 2024
Executive Summary

We performed a comparison between Informatica Enterprise Data Lake and Precisely Connect 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
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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
    58th
    out of 100 in Data Integration
    Views
    364
    Comparisons
    266
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Informatica Intelligent Data Lake, Intelligent Data Lake
    DMExpress, Syncsort DMX, Syncsort Connect ETL
    Learn More
    Informatica
    Precisely
    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. 

    Transforming and delivering application data for analytics with speed, efficiency and a flexible “design once, deploy anywhere” approach

    Sample Customers
    Information Not Available
    Hermes, Kantar Worldpanel, Kojima Press Industry Co. Ltd., OTC Markets Group, Experian, Co-operative Group, State of Tennessee Department of Human Services, Centers for Medicare & Medicaid Services, Silverton, comScore
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Manufacturing Company11%
    Computer Software Company11%
    Healthcare Company9%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Insurance Company13%
    Comms Service Provider11%
    Computer Software Company10%
    Company Size
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise11%
    Large Enterprise78%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise5%
    Large Enterprise85%
    Buyer's Guide
    Data Integration
    April 2024
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    767,847 professionals have used our research since 2012.

    Informatica Enterprise Data Lake is ranked 41st in Data Integration with 1 review while Precisely Connect is ranked 58th in Data Integration. Informatica Enterprise Data Lake is rated 7.0, while Precisely Connect 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 Precisely Connect is most compared with Qlik Replicate, AWS Glue, Informatica PowerCenter and Oracle GoldenGate.

    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.