Informatica Enterprise Data Catalog vs SAS Data Integration Server comparison

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Comparison Buyer's Guide
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, Collibra and others in Metadata Management.
To learn more, read our detailed Metadata Management Report (Updated: May 2024).
771,170 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 solution scales well.""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 way that the solution scans is very useful.""It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities.""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.""The metadata management of Informatica is great.""We can scan anything.""Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."

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

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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.""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.""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.""Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly.""Currently, there are limitations in processing and the interface.""The scalability is tough.""The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future.""IEDC can improve the comparison of lineages."

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

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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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    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 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
    2,171
    Comparisons
    1,515
    Reviews
    8
    Average Words per Review
    532
    Rating
    7.8
    34th
    out of 101 in Data Integration
    Views
    1,050
    Comparisons
    953
    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%
    Government12%
    Computer Software Company11%
    Insurance Company6%
    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 Enterprise73%
    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.
    771,170 professionals have used our research since 2012.

    Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 13 reviews while SAS Data Integration Server is ranked 34th in Data Integration with 3 reviews. Informatica Enterprise Data Catalog is rated 7.6, while SAS Data Integration Server is rated 7.4. 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 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.