Informatica Enterprise Data Catalog vs SAS Data Integration Server comparison

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Executive Summary

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

Find out what your peers are saying about Informatica, Alation, SAP and others in Metadata Management.
To learn more, read our detailed Metadata Management Report (Updated: April 2024).
767,667 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 metadata management of Informatica is great.""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 solution scales well.""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.""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.""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."

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"The most valuable feature of the solution is its amazing capabilities in regard to data handling.""The solution offers very good data manipulation and loading.""The solution is very stable."

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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.""It is not easy to set up and configure the tool.""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 solution is quite expensive.""The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future.""It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen.""Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly.""IEDC can improve the comparison of lineages."

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"The transform tool has limited access. They should make it more flexible.""So I would like to see improved integration with other software.""The initial setup of SAS Data Integration Server was complex."

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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."
  • More Informatica Enterprise Data Catalog Pricing and Cost Advice →

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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:The most valuable feature of the solution is its amazing capabilities in regard to data handling.
    Top Answer:I don't handle the cost and budget part. From the tool's perspective, I can say that it is an amazing product.
    Top Answer:Visualization is an area with a few shortcomings in the product. Some new and amazing visualization capabilities have been added to the product, but I haven't used them enough to be able to comment on… more »
    Ranking
    1st
    out of 27 in Metadata Management
    Views
    2,187
    Comparisons
    1,543
    Reviews
    8
    Average Words per Review
    552
    Rating
    7.8
    34th
    out of 100 in Data Integration
    Views
    1,073
    Comparisons
    969
    Reviews
    1
    Average Words per Review
    589
    Rating
    8.0
    Comparisons
    Also Known As
    Informatica EDC, Informatica Enterprise Information Catalog, Enterprise Information Catalog
    SAS Enterprise Data Integration Server, Enterprise Data Integration Server
    Learn More
    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.

    SAS Data Integration Server is a powerful, configurable and comprehensive solution that can meet a wide variety of data integration requirements, from small tactical projects to strategic business initiatives. It can access virtually all data sources, support data warehousing, migration, synchronization, federation and provisioning initiatives. It can support both batch-oriented and real-time master data management solutions. It can create reusable data integration services in support of service-oriented architectures and data governance and extract, cleanse, transform, conform, aggregate, load and manage data.
    Sample Customers
    AIA Singapore, Mattel
    Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, West Midlands Police, XS Inc., Zenith Insurance
    Top Industries
    REVIEWERS
    Computer Software Company29%
    Construction Company14%
    Insurance Company14%
    Manufacturing Company14%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company14%
    Manufacturing Company9%
    Government9%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Government11%
    Computer Software Company11%
    Insurance Company7%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise8%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise9%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise74%
    Buyer's Guide
    Metadata Management
    April 2024
    Find out what your peers are saying about Informatica, Alation, SAP and others in Metadata Management. Updated: April 2024.
    767,667 professionals have used our research since 2012.

    Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 12 reviews while SAS Data Integration Server is ranked 34th in Data Integration with 3 reviews. Informatica Enterprise Data Catalog is rated 7.4, while SAS Data Integration Server is rated 7.4. 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 SAS Data Integration Server writes "A stable and scalable tool with data handling capabilities and an amazing technical support". Informatica Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Informatica PowerCenter and Denodo, whereas SAS Data Integration Server is most compared with Palantir Foundry, SSIS, Oracle Data Integrator (ODI), Azure Data Factory and AWS Glue.

    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.