Informatica Enterprise Data Lake vs SAS Data Management comparison

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Informatica Logo
434 views|413 comparisons
100% willing to recommend
SAS Logo
1,563 views|1,254 comparisons
86% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Informatica Enterprise Data Lake and SAS Data Management based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration.
To learn more, read our detailed Data Integration Report (Updated: April 2024).
767,847 professionals have used our research since 2012.
Featured Review
Anonymous User
Ed Jarecki
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The process of using the tool's scalability option is well documented."

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"If you compare it to SQL, the memory and development times are very quick.""The technical support is excellent.""The product offers very good flexibility.""This is an established product with powerful data analysis and varied options for user entry points.""In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features.""The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes.""I am impressed with the tool's ability to customize.""Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."

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Cons
"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."

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"The solution is quite expensive and hard to install/configure.""One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place.""We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive.""We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows.""Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics.""I would like the tool to include the ability to automate the modifications of the integrations.""The pricing of the solution needs to be improved. They need to work to make it more affordable.""With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."

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Pricing and Cost Advice
  • "The licenses attached to the solution are highly priced."
  • More Informatica Enterprise Data Lake Pricing and Cost Advice →

  • "While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."
  • "The tool is a bit expensive."
  • "The solution is expensive."
  • More SAS Data Management Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The process of using the tool's scalability option is well documented.
    Top Answer:The licenses attached to the solution are highly priced. Informatica has licensing models for every product and for every feature, like the web service feature, which is something my company doesn't… more »
    Top Answer:Governance, data dictionary, and data cataloging are not available in Informatica Enterprise Data Lake. A lot of businesses are facing issues related to understanding the area revolving around… more »
    Top Answer:I am impressed with the tool's ability to customize.
    Top Answer:I would like the tool to include the ability to automate the modifications of the integrations.
    Ranking
    41st
    out of 100 in Data Integration
    Views
    434
    Comparisons
    413
    Reviews
    1
    Average Words per Review
    832
    Rating
    7.0
    43rd
    out of 100 in Data Integration
    Views
    1,563
    Comparisons
    1,254
    Reviews
    1
    Average Words per Review
    180
    Rating
    7.0
    Comparisons
    Also Known As
    Informatica Intelligent Data Lake, Intelligent Data Lake
    SAS Data Management Platform, Data Management Platform, DataFlux
    Learn More
    Overview

    The Intelligent Data Lake enables raw big data to be systematically transformed into fit-for-purpose data sets for a variety of data consumers. Data scientists and analysts can quickly find the data they’re looking for using semantic and faceted search. They can see data profiles, lineage, and other relationships to know whether they can trust the data and whether it’s fit-for-use in their analytic projects. 

    Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.

    Sample Customers
    Information Not Available
    Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Manufacturing Company11%
    Computer Software Company11%
    Healthcare Company9%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Computer Software Company11%
    Insurance Company10%
    Government8%
    Company Size
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise11%
    Large Enterprise78%
    REVIEWERS
    Small Business50%
    Midsize Enterprise7%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise10%
    Large Enterprise73%
    Buyer's Guide
    Data Integration
    April 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
    767,847 professionals have used our research since 2012.

    Informatica Enterprise Data Lake is ranked 41st in Data Integration with 1 review while SAS Data Management is ranked 43rd in Data Integration with 15 reviews. Informatica Enterprise Data Lake is rated 7.0, while SAS Data Management is rated 8.4. The top reviewer of Informatica Enterprise Data Lake writes "A scalable tool that needs a lot of maintenance due to its unstable nature". On the other hand, the top reviewer of SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". Informatica Enterprise Data Lake is most compared with Palantir Foundry, whereas SAS Data Management is most compared with Informatica PowerCenter, Tungsten RPA, Microsoft Purview, Palantir Foundry and IBM InfoSphere DataStage.

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    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.