Informatica Data Integration Hub vs Informatica Enterprise Data Catalog comparison

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Executive Summary

We performed a comparison between Informatica Data Integration Hub and Informatica Enterprise Data Catalog 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).
768,578 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 technical support services are good.""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."

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"The way that the solution scans is very useful.""The most valuable feature of Informatica Enterprise Data Catalog is it provides clients with a full view of the enterprise data assets. For example, how many data assets they have and who owns them.""The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application.""It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities.""The product seems stable enough.""I rate the technical support a ten out of ten.""We can scan anything.""Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."

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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.""The initial setup was not very straightforward. Not complex, but not very simple either.""When it comes to UI look and feel and user experience, Informatica is not as good as other solutions."

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"Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms.""This solution is hard to set up and its interface is not user-friendly. It's also not as stable, and the technical support takes a lot of time to solve simple problems.""They have to improve their relationship discovery tool. They say that they have AI inside, but this AI did not automatically find relationships or suggested relationships between entities.""The solution is quite expensive.""The scalability is tough.""Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly.""The model is somewhat flexible. There are certain aspects of the model that are not as flexible as we would like. It doesn't do certain things to a great level of depth. So, in situations where we want to drill in to do something specific, we have to essentially copy that data into our own structures in order to add that additional layer of flexibility.""Currently, there are limitations in processing and the interface."

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Pricing and Cost Advice
  • "Comparatively, their prices are a little bit too high."
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  • "I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."
  • "I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
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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:It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen. Additionally, they should add AI features and the capability to provide… more »
    Top Answer:We use the product for building static and automatic data lineages.
    Ranking
    37th
    out of 100 in Data Integration
    Views
    956
    Comparisons
    895
    Reviews
    1
    Average Words per Review
    469
    Rating
    8.0
    1st
    out of 27 in Metadata Management
    Views
    2,187
    Comparisons
    1,543
    Reviews
    8
    Average Words per Review
    552
    Rating
    7.8
    Comparisons
    Also Known As
    Informatica Integration Hub, Integration Hub
    Informatica EDC, Informatica Enterprise Information Catalog, Enterprise Information Catalog
    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.

    Informatica Enterprise Information Catalog provides a machine-learning-based discovery engine to collect data assets across the enterprise while increasing the understanding of those data assets through a graph-based enterprise information catalog. Powered by Informatica’s unique metadata services engine, Enterprise Information Catalog enables business analysts and data stewards to find all types of data across the enterprise; discover relationships among them; enrich data with business glossary terms and crowdsourced annotations; and understand the provenance, quality, and usage of their data.

    Sample Customers
    Humana, Rabobank, State of Washington
    AIA Singapore, Mattel
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company10%
    Manufacturing Company10%
    Government9%
    REVIEWERS
    Computer Software Company29%
    Construction Company14%
    Insurance Company14%
    Manufacturing Company14%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company14%
    Manufacturing Company9%
    Government9%
    Company Size
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    REVIEWERS
    Small Business33%
    Midsize Enterprise8%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise9%
    Large Enterprise73%
    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.
    768,578 professionals have used our research since 2012.

    Informatica Data Integration Hub is ranked 37th in Data Integration with 3 reviews while Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 13 reviews. Informatica Data Integration Hub is rated 8.0, while Informatica Enterprise Data Catalog is rated 7.6. 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 Catalog writes "Great metadata management with more visibility and great technical support". 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 Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Informatica PowerCenter and Denodo.

    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.