Informatica Enterprise Data Catalog vs erwin Data Catalog by Quest comparison

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Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Informatica, SAP, Alation and others in Metadata Management.
To learn more, read our detailed Metadata Management Report (Updated: November 2022).
656,474 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
"When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be aware that a change is coming. That's one of the main benefits we use it for."

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"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.""Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features.""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 solution scales well.""The metadata management of Informatica is great."

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Cons
"There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names."

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"The solution is quite expensive.""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.""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.""It is not easy to set up and configure the tool.""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."

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Pricing and Cost Advice
  • "I am not very familiar with its pricing. I know it is not cheap, but it is also not super expensive. It depends on the company size. For a company making $1 million, it is very expensive. For a company making 10 million and above, it might be okay."
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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."
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    Questions from the Community
    Top Answer:There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for… more »
    Top Answer:When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be… more »
    Top Answer:I am not very familiar with its pricing. I know it is not cheap, but it is also not super expensive. It depends on the company size. For a company making $1 million, it is very expensive. For a… more »
    Top Answer:The initial setup is very, very difficult. The solution is quite expensive. I would like them to extend the coverage to other technologies like web services and programming languages.
    Top Answer:The product is used for data governance. It's a tool for data governance, a technical metadata dictionary, and a data lineage repository.
    Ranking
    10th
    out of 26 in Metadata Management
    Views
    1,105
    Comparisons
    824
    Reviews
    1
    Average Words per Review
    613
    Rating
    8.0
    1st
    out of 26 in Metadata Management
    Views
    7,146
    Comparisons
    5,243
    Reviews
    5
    Average Words per Review
    717
    Rating
    8.4
    Comparisons
    Also Known As
    Informatica EDC, Informatica Enterprise Information Catalog, Enterprise Information Catalog
    Learn More
    Overview

    erwin Data Catalog (DC), part of the erwin Data Intelligence Suite, automates enterprise metadata management, including data mapping, code generation, data profiling, data lineage and impact analysis. It integrates and activates data in a single, unified catalog in accordance with business requirements by scheduling ongoing scans of metadata from the widest array of data sources, keeping metadata current with full versioning and change management, and easily mapping data elements from source to target, including data at rest and in motion, and harmonize data integration across platforms.

    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.

    Offer
    Learn more about erwin Data Catalog by Quest
    Learn more about Informatica Enterprise Data Catalog
    Sample Customers
    Balfour Beatty Construction, Banco de México, BFSI Canada, CenturyLink, Daktronics
    AIA Singapore, Mattel
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company23%
    Financial Services Firm16%
    Government10%
    Comms Service Provider6%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm14%
    Government8%
    Insurance Company7%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise75%
    Buyer's Guide
    Metadata Management
    November 2022
    Find out what your peers are saying about Informatica, SAP, Alation and others in Metadata Management. Updated: November 2022.
    656,474 professionals have used our research since 2012.

    erwin Data Catalog by Quest is ranked 10th in Metadata Management with 1 review while Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 5 reviews. erwin Data Catalog by Quest is rated 8.0, while Informatica Enterprise Data Catalog is rated 8.4. The top reviewer of erwin Data Catalog by Quest writes "Helps with metadata management, saves time, and allows us to do impact analysis on any changes". On the other hand, the top reviewer of Informatica Enterprise Data Catalog writes "An enterprise-scale solution with a pretty robust set of tools for scanning a variety of information sources". erwin Data Catalog by Quest is most compared with WhereScape RED, Talend Open Studio, Alation Data Catalog, Azure Data Factory and SAP Information Steward, whereas Informatica Enterprise Data Catalog is most compared with AWS Glue, Collibra Catalog, Denodo, Alation Data Catalog and Informatica PowerCenter.

    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.