Informatica Data Integration Hub vs Informatica Enterprise Data Lake comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Informatica Data Integration Hub and Informatica Enterprise Data Lake based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration.
To learn more, read our detailed Data Integration Report (Updated: April 2024).
767,995 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The MDM solution is capable of integrating multiple systems, so it helped us to solve the purpose of centralizing the depository as well as the standardization of mass data. It takes away all the ambiguity around data integrity issues or all the process challenges which happen when every stage of a process uses a different source as master data.""Performance and flexibility-wise, they're very user-friendly.""The technical support services are good."

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"The process of using the tool's scalability option is well documented."

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Cons
"They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently.""When it comes to UI look and feel and user experience, Informatica is not as good as other solutions.""The initial setup was not very straightforward. Not complex, but not very simple either."

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"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."

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Pricing and Cost Advice
  • "Comparatively, their prices are a little bit too high."
  • More Informatica Data Integration Hub 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:They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently.
    Top Answer:Working with a healthcare client with diverse locations, we faced the challenge of analyzing data in isolation, making it difficult to generalize findings across different areas. With the help of… more »
    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 »
    Ranking
    37th
    out of 100 in Data Integration
    Views
    956
    Comparisons
    895
    Reviews
    1
    Average Words per Review
    469
    Rating
    8.0
    41st
    out of 100 in Data Integration
    Views
    434
    Comparisons
    413
    Reviews
    1
    Average Words per Review
    832
    Rating
    7.0
    Comparisons
    Also Known As
    Informatica Integration Hub, Integration Hub
    Informatica Intelligent Data Lake, Intelligent Data Lake
    Learn More
    Overview

    Informatica Data Integration Hub empowers large organizations to embrace change and the opportunities of new applications and analytics systems, while managing storage in Hadoop as well as relational database and file store options. The centralized modern hubbased architecture is the foundation for agile and managed enterprise data integration. As the first to apply a publish/subscribe model to data integration linking big data, cloud, and traditional systems, Informatica delivers productivity and intelligent automation without compromising control.

    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. 

    Sample Customers
    Humana, Rabobank, State of Washington
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company10%
    Manufacturing Company10%
    Government9%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Manufacturing Company11%
    Computer Software Company11%
    Healthcare Company9%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise11%
    Large Enterprise78%
    Buyer's Guide
    Data Integration
    April 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
    767,995 professionals have used our research since 2012.

    Informatica Data Integration Hub is ranked 37th in Data Integration with 3 reviews while Informatica Enterprise Data Lake is ranked 41st in Data Integration with 1 review. Informatica Data Integration Hub is rated 8.0, while Informatica Enterprise Data Lake is rated 7.0. The top reviewer of Informatica Data Integration Hub writes "Excellent at standardizing mass data and capable of integrating with multiple solutions ". On the other hand, the top reviewer of Informatica Enterprise Data Lake writes "A scalable tool that needs a lot of maintenance due to its unstable nature". Informatica Data Integration Hub is most compared with Informatica PowerCenter, AWS Database Migration Service, Azure Data Factory, Mule Anypoint Platform and SAP Data Hub, whereas Informatica Enterprise Data Lake is most compared with Palantir Foundry.

    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.