FME vs Informatica Enterprise Data Catalog comparison

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3,029 views|2,359 comparisons
100% willing to recommend
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2,187 views|1,543 comparisons
83% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed FME vs. Informatica Enterprise Data Catalog Report (Updated: January 2023).
768,886 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
"It has a very friendly user interface. You don't need to use a lot of code. For us that's the most important aspect about it. Also, it has a lot of connectors and few forms. It has a strong facial aspect. It can do a lot of facial analysis.""All spatial features are unrivaled, and the possibility to execute them based on a scheduled trigger, manual, e-mail, Websocket, tweet, file/directory change or virtually any trigger is most valuable.""The most valuable feature of FME is the graphical user interface. There is nothing better. It is very easy to debug because you can see all steps where there are failures. Overall the software is easy to optimize a process.""It has standard plug-ins available for different data sources.""We make minor subtle changes to the workbenches to improve it. We can share the workbenches. We don't have to use GitHub or anything else."

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"I rate the technical support a ten out of ten.""The way that the solution scans is very useful.""The solution scales well.""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.""It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."

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Cons
"Improvements could be made to mapping presentations.""To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues.""The one thing that always appears in the community is the ability to make really easy loops to loop through data efficiently. That needs to be added at some point.""FME can improve the geographical transformation. I've had some problems with the geographical transformations, but it's probably mostly because I'm not the most skilled geographer in-house. The solution requires some in-depth knowledge to perform some functions.""FME's price needs improvement for the African market."

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"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.""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.""IEDC can improve the comparison of lineages.""Currently, there are limitations in processing and the interface.""The scalability is tough.""The solution is quite expensive.""It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen.""It is not easy to set up and configure the tool."

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Pricing and Cost Advice
  • "We used the standard licensing for our use of FME. The cost was approximately €15,000 annually. We always welcome less expensive solutions, if the solution could be less expensive it would be helpful."
  • "The product's price is reasonable."
  • "FME Server used to cost £10,000; now it can cost over £100,000."
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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."
  • More Informatica Enterprise Data Catalog Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:We make minor subtle changes to the workbenches to improve it. We can share the workbenches. We don't have to use GitHub or anything else.
    Top Answer:The pricing is really bad. Last year, they rebranded the whole pricing structure. It used to be moderately priced at about £400 per user per year. Now they've changed the whole thing, and it's… more »
    Top Answer:The one thing that always appears in the community is the ability to make really easy loops to loop through data efficiently. That needs to be added at some point. There must be a technical or… 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
    25th
    out of 100 in Data Integration
    Views
    3,029
    Comparisons
    2,359
    Reviews
    4
    Average Words per Review
    605
    Rating
    8.3
    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 EDC, Informatica Enterprise Information Catalog, Enterprise Information Catalog
    Learn More
    Overview

    FME is the data integration platform with the best support for spatial data. Run workflows on the desktop or deploy them in a server or cloud environment.

    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
    Shell, US Department of Commerce, PG&E, BC Hydro, City of Vancouver, Enel, Iowa DoT, San Antonio Water System
    AIA Singapore, Mattel
    Top Industries
    VISITORS READING REVIEWS
    Government29%
    Energy/Utilities Company11%
    Computer Software Company9%
    Manufacturing Company5%
    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 Business20%
    Midsize Enterprise16%
    Large Enterprise63%
    REVIEWERS
    Small Business33%
    Midsize Enterprise8%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise9%
    Large Enterprise73%
    Buyer's Guide
    FME vs. Informatica Enterprise Data Catalog
    January 2023
    Find out what your peers are saying about FME vs. Informatica Enterprise Data Catalog and other solutions. Updated: January 2023.
    768,886 professionals have used our research since 2012.

    FME is ranked 25th in Data Integration with 5 reviews while Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 13 reviews. FME is rated 8.6, while Informatica Enterprise Data Catalog is rated 7.6. The top reviewer of FME writes "Great for handling large volumes of data, but it is priced a bit high". On the other hand, the top reviewer of Informatica Enterprise Data Catalog writes "Great metadata management with more visibility and great technical support". FME is most compared with Azure Data Factory, Alteryx Designer, Talend Open Studio, SSIS and Informatica PowerCenter, whereas Informatica Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Informatica PowerCenter and Denodo. See our FME vs. Informatica Enterprise Data Catalog report.

    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.