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SAS Data Management vs. SQL Server Integration Services (SSIS)

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    SAS Data Management

    Score8 out of 10
    N/AA suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.N/A

    SSIS

    Score8 out of 10
    N/AMicrosoft's SQL Server Integration Services (SSIS) is a data integration solution.N/A
    Pricing
    SAS Data ManagementSSIS
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    SAS Data ManagementSSIS
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    SAS Data ManagementSSIS
    Considered Both Products
    SAS
    No answer on this topic
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    5 Answers
    84%
    Would buy again
    21 Answers
    Delivers good value for the price
    80%
    Delivers good value for the price
    4 Answers
    96%
    Delivers good value for the price
    24 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    5 Answers
    88%
    Happy with the feature set
    22 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    5 Answers
    100%
    Lived up to sales and marketing promises
    10 Answers
    Implementation went as expected
    No answers on this topic
    95%
    Implementation went as expected
    19 Answers
    Features
    SAS Data ManagementSSIS
    Data Source Connection
    Comparison of Data Source Connection features of SAS Data Management and SQL Server Integration Services (SSIS)
    Feature
    SAS Data Management
    8.3
    10 Ratings
    1% below category average
    SQL Server Integration Services (SSIS)
    7.0
    56 Ratings
    18% below category average
    Connect to traditional data sources8.610 Ratings9.056 Ratings
    Connecto to Big Data and NoSQL8.19 Ratings5.043 Ratings
    Data Transformations
    Comparison of Data Transformations features of SAS Data Management and SQL Server Integration Services (SSIS)
    Feature
    SAS Data Management
    6.7
    8 Ratings
    19% below category average
    SQL Server Integration Services (SSIS)
    6.8
    56 Ratings
    18% below category average
    Simple transformations6.18 Ratings8.956 Ratings
    Complex transformations7.48 Ratings4.755 Ratings
    Data Modeling
    Comparison of Data Modeling features of SAS Data Management and SQL Server Integration Services (SSIS)
    Feature
    SAS Data Management
    6.7
    8 Ratings
    17% below category average
    SQL Server Integration Services (SSIS)
    7.5
    54 Ratings
    6% below category average
    Data model creation5.56 Ratings9.028 Ratings
    Metadata management7.47 Ratings6.035 Ratings
    Business rules and workflow6.67 Ratings7.145 Ratings
    Collaboration7.07 Ratings9.140 Ratings
    Testing and debugging6.17 Ratings6.451 Ratings
    Data Governance
    Comparison of Data Governance features of SAS Data Management and SQL Server Integration Services (SSIS)
    Feature
    SAS Data Management
    7.9
    9 Ratings
    2% below category average
    SQL Server Integration Services (SSIS)
    5.4
    43 Ratings
    40% below category average
    Integration with data quality tools7.69 Ratings6.238 Ratings
    Integration with MDM tools8.27 Ratings4.638 Ratings
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    User Ratings
    SAS Data ManagementSSIS
    Likelihood to Recommend
    7.6
    (11 ratings)
    8.0
    (56 ratings)
    Likelihood to Renew
    9.0
    (2 ratings)
    9.0
    (4 ratings)
    Usability
    6.0
    (2 ratings)
    8.0
    (11 ratings)
    Performance
    9.0
    (1 ratings)
    8.8
    (6 ratings)
    Support Rating
    7.7
    (6 ratings)
    8.0
    (8 ratings)
    Implementation Rating
    -
    (0 ratings)
    10.0
    (2 ratings)
    User Testimonials
    SAS Data ManagementSSIS
    Likelihood to Recommend
    SAS
    When data is in a system that needs a complex transformation to be usable for an average user. Such tasks as data residing in systems that have very different connection speeds. It can be integrated and used together after passing through the SAS Data Integration Studio removing timing issues from the users' worries. A part that is perhaps less appropriate is getting users who are not familiar with the source data to set up the load processes.
    Incentivized
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    Microsoft
    As I mentioned earlier SQL Server Integration Services is suitable if you want to manage data from different applications. It really helps in fetching the data and generating reports. Its automation make it very easy and time efficient. It works well with large database as well. But it doesn't work well with real time data, it will take some time to gather the real time data. I would not recommend using it in a real time/fast-paced environment.
    Incentivized
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    Pros
    SAS
    • SAS/Access is great for manipulating large and complex databases.
    • SAS/Access makes it easy to format reports and graphics from your data.
    • Data Management and data storage using the Hadoop environment in SAS/Access allows for rapid analysis and simple programming language for all your data needs.
    Incentivized
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    Microsoft
    • Standard ETL use cases for daily loads
    • Loading incoming data from Vendors which is placed on FTP and adding them to the SQL Warehouse
    • Creating outgoing data files and writing them to Vendor FTPs
    • Easy Active Directory integration for seamless connections to SQL Server
    • CI/CD by hosting the code on visualstudio.com
    Incentivized
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    Cons
    SAS
    • Requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres.
    • Debugging errors from the logs is a complicated process.
    • E-mail alert system is very primitive and needs customization to make it more modern,
    • Cannot send SMS alerts for jobs.
    Incentivized
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    Microsoft
    • Connection managers for online data sources can be tricky to configure.
    • Performance tuning is an art form and trialing different data flow task options can be cumbersome. SSIS can do a better job of providing performance data including historical for monitoring.
    • Mapping destination using OLE DB command is difficult as destination columns are unnamed.
    • Excel or flat file connections are limited by version and type.
    Incentivized
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    Likelihood to Renew
    SAS
    We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.
    Read full review
    Microsoft
    Some features should be revised or improved, some tools (using it with Visual Studio) of the toolbox should be less schematic and somewhat more flexible. Using for example, the CSV data import is still very old-fashioned and if the data format changes it requires a bit of manual labor to accept the new data structure
    Incentivized
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    Usability
    SAS
    The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.
    Incentivized
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    Microsoft
    SSIS is a great tool for most ETL needs. It has the 90% (or more) use cases covered and even in many of the use cases where it is not ideal SSIS can be extended via a .NET language to do the job well in a supportable way for almost any performance workload.
    Incentivized
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    Performance
    SAS
    It worked as expected.
    Incentivized
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    Microsoft
    SQL Server Integration Services performance is dependent directly upon the resources provided to the system. In our environment, we allocated 6 nodes of 4 CPUs, 64GB each, running in parallel. Unfortunately, we had to ramp-up to such a robust environment to get the performance to where we needed it. Most of the reports are completed in a reasonable timeframe. However, in the case of slow running reports, it is often difficult if not impossible to cancel the report without killing the report instance or stopping the service.
    Incentivized
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    Support Rating
    SAS
    With SAS, you pay a license fee annually to use this product. Support is incredible. You get what you pay for, whether it's SAS forums on the SAS support site, technical support tickets via email or phone calls, or example documentation. It's not open source. It's documented thoroughly, and it works.
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    Microsoft
    The support, when necessary, is excellent. But beyond that, it is very rarely necessary because the user community is so large, vibrant and knowledgable, a simple Google query or forum question can answer almost everything you want to know. You can also get prewritten script tasks with a variety of functionality that saves a lot of time.
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    Implementation Rating
    SAS
    No answers on this topic
    Microsoft
    The implementation may be different in each case, it is important to properly analyze all the existing infrastructure to understand the kind of work needed, the type of software used and the compatibility between these, the features that you want to exploit, to understand what is possible and which ones require integration with third-party tools
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    Alternatives Considered
    SAS
    Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.
    Incentivized
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    Microsoft
    I think SQL Server Integration Services is better suited for on-premises data movement and ADF is more suited for the cloud. Though ADF has more connectors, SQL Server Integration Services is more robust and has better functionality just because it has been around much longer
    Incentivized
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    Return on Investment
    SAS
    • We have more users who can connect to the many different data sources.
    • Our users do have existing SAS programming knowledge and that can carry over.
    • Business functions are starting to rely on SAS Data Integration Studio work product shortly after introduction.
    Incentivized
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    Microsoft
    • Without this, we would have to manually update a spreadsheet of our SQL Server inventory
    • We would also have poor alerting; if an instance was down we wouldn't know until it was reported by a user
    • We only have one other person who uses SQL Server Integration Services , he's the expert. It would fall to me without him and I would not enjoy being responsible for it.
    Incentivized
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