Informatica Enterprise Data Catalog vs Pentaho Data Catalog comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Informatica Enterprise Data Catalog and Pentaho Data Catalog based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, Alation, Collibra and others in Metadata Management.
To learn more, read our detailed Metadata Management Report (Updated: May 2024).
771,212 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
"I like EDC's self-service capabilities. You can put the catalog on the intranet inside the organization, so users can search for something. People in the research world have specialized systems, and you might find data from various places that sound similar.""The product seems stable enough.""The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application.""I rate the technical support a ten out of ten.""Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features.""The capability of the tool to scan and capture the metadata from a variety of sources is one of the capabilities that I find most useful. The central repository into which it is going to put that captured metadata is the best.""We can scan anything.""The metadata management of Informatica is great."

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"The ability to easily and quickly ingest new data sources is the most valuable feature... I'm not an especially technical IT person, but my data governance lead and I are able to ingest the data, quickly profile it, and do data identification and tagging."

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Cons
"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.""The scalability is tough.""The solution is quite expensive.""It is not easy to set up and configure the tool.""Currently, there are limitations in processing and the interface.""The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future.""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.""It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen."

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"We've tagged a lot of fields that are related to specific processes... What would be helpful is a place, inside Lumada Data Catalog, where you can describe the tags that you're using. Otherwise, anybody coming into the system, or seeing the tag from the outside in one of the reports, is going to say, "What is that tag really referring to?" and has to know where my spreadsheet is."

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Pricing and Cost Advice
  • "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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  • "We can afford it. We got a three-year contract... If it were to go up and price a lot, I don't know if I would be able to keep it."
  • More Pentaho Data Catalog Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities.
    Top Answer:They could improve the product support for the Arabic language. Currently, there are limitations in processing and the interface itself regarding Arabic language support.
    Top Answer:We use the product for building static and automatic data lineages.
    Top Answer:The ability to easily and quickly ingest new data sources is the most valuable feature... I'm not an especially technical IT person, but my data governance lead and I are able to ingest the data… more »
    Top Answer:We can afford it. We got a three-year contract. I'm hoping that when our contract expires that it is still going to be reasonable enough for us to afford. One of the ways I pitched it is that I told… more »
    Top Answer:As I've said, we've tagged a lot of fields that are related to specific processes, like the driller's log or, for example, if you want to get a license to be a well driller. Now, what I'm having to do… more »
    Ranking
    1st
    out of 27 in Metadata Management
    Views
    2,171
    Comparisons
    1,515
    Reviews
    8
    Average Words per Review
    532
    Rating
    7.8
    7th
    out of 27 in Metadata Management
    Views
    262
    Comparisons
    108
    Reviews
    1
    Average Words per Review
    2,400
    Rating
    9.0
    Comparisons
    Also Known As
    Informatica EDC, Informatica Enterprise Information Catalog, Enterprise Information Catalog
    Hitachi Lumada DataOps - Data Catalog
    Learn More
    Hitachi Vantara
    Video Not Available
    Overview

    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.

    Data intelligence delivered across all structured and unstructured data. A data culture fostered by trusted & actionable data with observability, lineage, quality and reliability.

    Sample Customers
    AIA Singapore, Mattel
    Information Not Available
    Top Industries
    REVIEWERS
    Computer Software Company29%
    Construction Company14%
    Insurance Company14%
    Manufacturing Company14%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company14%
    Manufacturing Company9%
    Government9%
    No Data Available
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise8%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise9%
    Large Enterprise73%
    No Data Available
    Buyer's Guide
    Metadata Management
    May 2024
    Find out what your peers are saying about Informatica, Alation, Collibra and others in Metadata Management. Updated: May 2024.
    771,212 professionals have used our research since 2012.

    Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 13 reviews while Pentaho Data Catalog is ranked 7th in Metadata Management with 1 review. Informatica Enterprise Data Catalog is rated 7.6, while Pentaho Data Catalog is rated 9.0. The top reviewer of Informatica Enterprise Data Catalog writes "They listen to their customers, so if something is missing or not working, they will put it on their roadmap". On the other hand, the top reviewer of Pentaho Data Catalog writes "Helps make metadata available from our transactional databases, data warehouse, document management system, and GIS". Informatica Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Informatica PowerCenter and Oracle Data Integrator (ODI), whereas Pentaho Data Catalog is most compared with IBM Watson Knowledge Catalog.

    See our list of best Metadata Management vendors.

    We monitor all Metadata Management 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.