SAS Data Management vs SSIS comparison

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1,636 views|1,302 comparisons
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Comparison Buyer's Guide
Executive Summary

We performed a comparison between SAS Data Management and SSIS 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: March 2024).
765,234 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
"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 tool is reliable, quick, and powerful.""The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes.""The technical support is excellent.""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.""If you compare it to SQL, the memory and development times are very quick.""This is an established product with powerful data analysis and varied options for user entry points."

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"We like that this solution includes a developer edition, free of charge, to allow for training.""It is easy to set up the solution.""It is also easy to learn and user-friendly. Microsoft is also good in terms of technical support. They have built a large community all over the world.""The reporting on the solution is perfect. I didn't expect to see reporting features, but they are great.""I have used most of the standard SQL features, but the ones that stand out are the Data Flows and Bulk Import.""We can connect with multiple data sources easily using an external connector in SSIS.""It's saved time using visualization descriptions.""It has the ability to be deployed into the cloud through Data Factory, and run completely as a software as a service in the cloud."

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Cons
"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.""I would like the tool to include the ability to automate the modifications of the integrations.""The solution could use better documentation.""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.""Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics.""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.""The solution is quite expensive and hard to install/configure.""The pricing of the solution needs to be improved. They need to work to make it more affordable."

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"Tuning using this solution requires extensive expertise to improve performance.""I would like to see more features in terms of the integration with Azure Data Factory.""Sometimes, there are compatibility issues with some features. From time to time, I also face issues when trying to migrate. If I misconfigure things when I use Snapshot, the migration will fail.It can take a long time to migrate huge amounts of data, so it would be nice if that could be faster.""I would like to see better integration with Power BI.""It should have other programming languages supported as well from a scripting perspective. Currently, only C# and VB.NET are supported, which limits it to .NET. It should have Java support as well.""The solution should work on the GPU, graphical processing unit. There should also be piping integration available.""The creation of the measure in the DAC's model could be improved.""The security could be improved, as it is more important in our context."

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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."
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  • "This solution has provided an inexpensive tool, and it is easy to find experienced developers."
  • "My advice is to look at what your configuration will be because most companies have their own deals with Microsoft."
  • "This solution is included with the MSSQL server package."
  • "It would be beneficial if the solution had a less costly cloud offering."
  • "Based on my experience and understanding, Talend comes out to be a little bit expensive as compared to SSIS. The average cost of having Talend with Talend Management Console is around 72K per region, which is much higher than SSIS. SSIS works very well with Microsoft technologies, and if you have Microsoft technologies, it is not really expensive to have SSIS. If you have SQL Server, SSIS is free."
  • "We have an enterprise license for this solution."
  • "It comes bundled with other solutions, which makes it difficult to get the price on the specific product."
  • "All of my clients have this product included as part of their Microsoft license."
  • More SSIS Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations There are many third-party vendors offering ETL solutions, but two of the most popular are PowerCenter Informatica and Microsoft SSIS (SQL Server Integration Services). Each technology has its advantages but there are also similarities on how they carry out the extract-transform-load processes and only differ in terminologies. If you’re in the process of choosing ETL tools and PowerCenter Informatica and Microsoft SSIS made it to your shortlist, here is a short comparative discussion detailing the differences between the two, as well as their benefits. Package Configuration Most enterprise data integration projects would require the capacity to develop a solution in one platform and test and deploy it in a separate environment without having to manually change the established workflow. In order to achieve this seamless movement between two environments, your ETL technology should allow the dynamic update of the project’s properties using the content or a parameter file or configuration. Both Informatica and SSIS support this functionality using different methodologies. In Informatica, every session can have more than one source and one or more destination connections. There are… Read more →
    Questions from the Community
    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.
    Top Answer:SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free… more »
    Top Answer:I have found its most valuable features to be its package management capabilities and the flexibility it offers in designing workflows.
    Top Answer:The pricing of SSIS is generally considered reasonable in comparison to other data integration tools in the market. In terms of licensing, I find Microsoft's pricing policy generally favorable… more »
    Ranking
    40th
    out of 94 in Data Integration
    Views
    1,636
    Comparisons
    1,302
    Reviews
    1
    Average Words per Review
    180
    Rating
    7.0
    2nd
    out of 94 in Data Integration
    Views
    19,950
    Comparisons
    16,201
    Reviews
    33
    Average Words per Review
    471
    Rating
    7.7
    Comparisons
    Also Known As
    SAS Data Management Platform, Data Management Platform, DataFlux
    SQL Server Integration Services
    Learn More
    Overview

    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.

    SSIS is a versatile tool for data integration tasks like ETL processes, data migration, and real-time data processing. Users appreciate its ease of use, data transformation tools, scheduling capabilities, and extensive connectivity options. It enhances productivity and efficiency within organizations by streamlining data-related processes and improving data quality and consistency.

    Sample Customers
    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
    1. Amazon.com 2. Bank of America 3. Capital One 4. Coca-Cola 5. Dell 6. E*TRADE 7. FedEx 8. Ford Motor Company 9. Google 10. Home Depot 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Foods 15. Lockheed Martin 16. McDonald's 17. Microsoft 18. Morgan Stanley 19. Nike 20. Oracle 21. PepsiCo 22. Procter & Gamble 23. Prudential Financial 24. RBC Capital Markets 25. SAP 26. Siemens 27. Sony 28. Toyota 29. UnitedHealth Group 30. Visa 31. Walmart 32. Wells Fargo
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Computer Software Company12%
    Insurance Company10%
    Government8%
    REVIEWERS
    Financial Services Firm23%
    Healthcare Company8%
    Computer Software Company8%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company12%
    Government7%
    Healthcare Company6%
    Company Size
    REVIEWERS
    Small Business50%
    Midsize Enterprise7%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise10%
    Large Enterprise73%
    REVIEWERS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    Buyer's Guide
    Data Integration
    March 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    SAS Data Management is ranked 40th in Data Integration with 15 reviews while SSIS is ranked 2nd in Data Integration with 68 reviews. SAS Data Management is rated 8.4, while SSIS is rated 7.8. The top reviewer of SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". On the other hand, the top reviewer of SSIS writes "Maintaining the solution and contacting its support team is easy". SAS Data Management is most compared with Informatica PowerCenter, Microsoft Purview, Tungsten RPA, IBM InfoSphere DataStage and Oracle Data Integrator (ODI), whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, Oracle Data Integrator (ODI), IBM InfoSphere DataStage and AWS Glue.

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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.