Informatica Enterprise Data Catalog vs Talend Data Management Platform comparison

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Comparison Buyer's Guide
Executive Summary

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

Find out in this report how the two Metadata Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Informatica Enterprise Data Catalog vs. Talend Data Management Platform Report (Updated: July 2023).
765,386 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 way that the solution scans is very useful.""Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features.""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.""We can scan anything.""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.""I rate the technical support a ten out of ten.""The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application.""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."

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"The solution is very user-friendly and easy to understand.""I think Talend is one of the easiest tools for faster implementation compared to other tools.""The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component.""The solution can run on any machine and that is a big advantage.""Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc.""The basic tools are easy to pick up and understand.""I like everything about this product, but the biggest thing is the ease of use.""They're very competitive in terms of performance, which is a good selling point. It has very rich features. It provides a very rich feature set in the application."

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Cons
"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 scalability is tough.""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.""The solution is quite expensive.""IEDC can improve the comparison of lineages.""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.""The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."

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"They lack in memory capacity.""Including either XML or JSON in the next release would definitely be a good transformation. I'm not sure if Talend has that feature, but it's one of those requirements that we are working around and have to do some parsing of XML so this could make it easier.""The solution's memory sometimes bottlenecks and that can be challenging.""Once you get past the basic tools, it gets pretty complicated.""The documentation from version to version could be more accurate.""The stability is good, but the performance is slower when I work on a huge amount of data.""The sales and market department could improve the Talend Data Management Platform.""I'd be interested in seeing the running of Python programs and transformations from within the studio itself."

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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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  • "License renewal is on a yearly basis."
  • "The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
  • "The solution's pricing is very reasonable and half the cost of Informatica."
  • "The licensing cost is about 40,000 Euros a year."
  • "The price of the Talend Data Management Platform is reasonable. The other competing solutions are priced high. Gartner Magic Quadrant identified other solutions, such as Informatica, that are far more expensive."
  • "The price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs beyond the standard licensing fee."
  • "The tool is cheap."
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    Questions from the Community
    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.
    Top Answer:We can develop our own code if we do not see the functionality we need.
    Top Answer:The vendor successfully created a cloud solution. However, lifting and shifting all the functionality available on-premises will be a heavy task. They are working on it. The product must enhance the… more »
    Ranking
    1st
    out of 27 in Metadata Management
    Views
    2,191
    Comparisons
    1,562
    Reviews
    8
    Average Words per Review
    552
    Rating
    7.8
    20th
    out of 94 in Data Integration
    Views
    2,956
    Comparisons
    2,472
    Reviews
    6
    Average Words per Review
    515
    Rating
    8.0
    Comparisons
    Also Known As
    Informatica EDC, Informatica Enterprise Information Catalog, Enterprise Information Catalog
    Talend Integration Suite
    Learn More
    Talend
    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.

    Talend offers robust data integration in an open and scalable architecture to maximize its value to your business. Simple, graphical tools and wizards get you up and running quickly with native code generation that streamlines development.
    Sample Customers
    AIA Singapore, Mattel
    Accent Group, Acticall, Allianz Global Investors Distributors LLC, Car & Boat Media, Cdiscount.com
    Top Industries
    REVIEWERS
    Computer Software Company29%
    Construction Company14%
    Insurance Company14%
    Manufacturing Company14%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company14%
    Manufacturing Company9%
    Government8%
    REVIEWERS
    Computer Software Company44%
    University22%
    Retailer11%
    Healthcare Company11%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm15%
    Manufacturing Company8%
    Government7%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise9%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise9%
    Large Enterprise73%
    REVIEWERS
    Small Business44%
    Midsize Enterprise17%
    Large Enterprise39%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise13%
    Large Enterprise68%
    Buyer's Guide
    Informatica Enterprise Data Catalog vs. Talend Data Management Platform
    July 2023
    Find out what your peers are saying about Informatica Enterprise Data Catalog vs. Talend Data Management Platform and other solutions. Updated: July 2023.
    765,386 professionals have used our research since 2012.

    Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 12 reviews while Talend Data Management Platform is ranked 20th in Data Integration with 17 reviews. Informatica Enterprise Data Catalog is rated 7.4, while Talend Data Management Platform is rated 8.4. The top reviewer of Informatica Enterprise Data Catalog writes "Great metadata management with more visibility and great technical support". On the other hand, the top reviewer of Talend Data Management Platform writes "Built for everything and packed with features but there are some monitoring limitations". Informatica Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Informatica PowerCenter and ASG Enterprise Data Intelligence, whereas Talend Data Management Platform is most compared with Talend Open Studio, Talend Data Fabric, SAP Data Services, Collibra Catalog and Ab Initio Co>Operating System. See our Informatica Enterprise Data Catalog vs. Talend Data Management Platform report.

    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.