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Informatica PowerCenter vs SAS Data Management comparison

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Comparison Buyer's Guide
Executive Summary

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

Find out in this report how the two Data Integration Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Informatica PowerCenter vs. SAS Data Management report (Updated: August 2022).
632,539 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
"I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks.""It is really easy to set up and the interface is easy to use.""In StreamSets, everything is in one place.""It is a very powerful, modern data analytics solution, in which you can integrate a large volume of data from different sources. It integrates all of the data and you can design, create, and monitor pipelines according to your requirements. It is an all-in-one day data ops solution.""StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes.""StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."

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"The interface is very clean and clear.""Deployment was simple and straightforward.""It has a Data Catalog that uses the Model repository.""We use Informatica PowerCenter to transfer the transitional database to and from the data warehouse. This is very efficient as it enables us to quickly find our data reports and the data, so we can build AI models.""The most valuable feature of Informatica PowerCenter is data transformation and user-friendliness.""It is very comprehensive in terms of connector and transformation capabilities from both a source and target perspective.""The support is valuable. There are also open-source ETL products, which work very well, but there is no support. When we face a production problem, being able to get support is valuable, and it brings efficiency. With an open-source solution, we can't engage anyone to resolve the problem as quickly as possible.""The technical support for Informatica PowerCenter is good."

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"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.""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.""The tool is reliable, quick, and powerful.""The product offers very good flexibility.""The technical support is excellent."

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Cons
"We've seen a couple of cases where it appears to have a memory leak or a similar problem.""Sometimes, when we have large amounts of data that is very efficiently stored in Hadoop or Kafka, it is not very efficient to run it through StreamSets, due to the lack of efficiency or the resources that StreamSets is using.""Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful.""We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back.""If you use JDBC Lookup, for example, it generally takes a long time to process data.""The logging mechanism could be improved. If I am working on a pipeline, then create a job out of it and it is running, it will generate constant logs. So, the logging mechanism could be simplified. Now, it is a bit difficult to understand and filter the logs. It takes some time."

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"The performance of Informatica PowerCenter could improve.""PowerCenter could be improved by having more big data components. Normally, we prefer Informatica as a relational database, but nowadays, companies are trying to understand and use big data components. I think it would be useful if we had more chances to create a hub ecosystem because customers try to use some data integration tasks by SQL, Spark and Spark codes, and Scala, but at the end of the day, the company will understand that we need to trace all the steps. An ETL tool is a must for that company, if we're talking about the regulated industries like finance, telcos, etc. If Informatica's biggest ecosystems feature were okay, I would prefer to use it.""The solution could have better documentation on basic steps or blocks that specify what to do.""Requires an established data center because there is no option for software as a service.""Informatica PowerCenter could improve the data threshold for large sets of data. Additionally, they should add real-time integration.""It would be nice to have all tools in one place. CDC needs more effort, as it's only easy to develop if you are familiar with Linux.""Informatica, in my opinion, is very rigid and not very flexible, whereas platforms like Alteryx or Matillion are very flexible and agile.""Informatica PowerCenter could improve on the documentation for the implementation. The documents provided are not very good for a new user."

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"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.""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.""The solution could use better documentation.""The solution is quite expensive and hard to install/configure.""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."

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Pricing and Cost Advice
  • "We are running the community version right now, which can be used free of charge."
  • "StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."
  • "It has a CPU core-based licensing, which works for us and is quite good."
  • "There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."
  • "The pricing is good, but not the best. They have some customized plans you can opt for."
  • More StreamSets Pricing and Cost Advice →

  • "It's much more expensive, almost three times more expensive than most other solutions."
  • "We are satisfied with the pricing."
  • "I consider this to be an expensive product."
  • "It is for big enterprises. We have leveraged Informatica for big enterprises but not for small and medium enterprises because it is a very costly product as compared to other products. We propose this solution only for enterprise customers. For small to medium enterprises, we would propose the Microsoft solution. Its licensing is currently bundle-wise. It should be features-wise and not bundle-wise."
  • "The price of this solution is high."
  • "Our client has purchased the license, and we are using it."
  • "The solution is in the middle price range compared to other solutions."
  • "Licensing costs are excessive and pose an obstacle to someone who lacks familiarity with the solution and wishes to have a proper understanding of it."
  • More Informatica PowerCenter Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:It is really easy to set up and the interface is easy to use.
    Top Answer:We've seen a couple of cases where it appears to have a memory leak or a similar problem. It grows for a bit and then… more »
    Top Answer:We typically use it to transport our Oracle raw datasets up to Microsoft Azure, and then into SQL databases there.
    Top Answer:Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability… more »
    Top Answer:SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called… more »
    Top Answer:Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a… more »
    Top Answer:The tool is reliable, quick, and powerful.
    Top Answer:The solution is quite expensive and hard to install/configure.
    Comparisons
    Also Known As
    PowerCenter
    SAS Data Management Platform, Data Management Platform, DataFlux
    Learn More
    StreamSets
    Video Not Available
    Overview

    StreamSets offers an end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps, and power the modern data ecosystem and hybrid integration.

    Only StreamSets provides a single design experience for all design patterns for 10x greater developer productivity; smart data pipelines that are resilient to change for 80% less breakages; and a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures to eliminate blind spots and control gaps.

    With StreamSets, you can deliver the continuous data that drives the connected enterprise.

    Enterprise data integration platform to help organizations access, transform, and integrate data from a variety of systems.

    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.

    Offer
    Learn more about StreamSets
    Learn more about Informatica PowerCenter
    Learn more about SAS Data Management
    Sample Customers
    Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
    University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
    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 Firm16%
    Computer Software Company15%
    Insurance Company8%
    Government7%
    REVIEWERS
    Computer Software Company28%
    Financial Services Firm16%
    Retailer9%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm13%
    Comms Service Provider8%
    Insurance Company8%
    VISITORS READING REVIEWS
    Computer Software Company23%
    Financial Services Firm11%
    Government10%
    Insurance Company9%
    Company Size
    REVIEWERS
    Small Business14%
    Midsize Enterprise29%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business18%
    Midsize Enterprise11%
    Large Enterprise72%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise11%
    Large Enterprise75%
    REVIEWERS
    Small Business46%
    Midsize Enterprise8%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise10%
    Large Enterprise68%
    Buyer's Guide
    Informatica PowerCenter vs. SAS Data Management
    August 2022
    Find out what your peers are saying about Informatica PowerCenter vs. SAS Data Management and other solutions. Updated: August 2022.
    632,539 professionals have used our research since 2012.

    Informatica PowerCenter is ranked 1st in Data Integration Tools with 36 reviews while SAS Data Management is ranked 14th in Data Integration Tools with 5 reviews. Informatica PowerCenter is rated 7.8, while SAS Data Management is rated 7.8. The top reviewer of Informatica PowerCenter writes "A stable, scalable, and mature solution for complex transformations and data integration". On the other hand, the top reviewer of SAS Data Management writes "One-stop-shop solution for sorting, categorizing and summarizing your data". Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, AWS Glue and Informatica PowerExchange, whereas SAS Data Management is most compared with Collibra Governance, Informatica Axon, Microsoft Purview, Informatica Enterprise Data Catalog and SAP Data Services. See our Informatica PowerCenter vs. SAS Data Management report.

    See our list of best Data Integration Tools vendors and best Cloud Data Integration vendors.

    We monitor all Data Integration Tools 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.