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

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAS Data Management
Score 8.0 out of 10
N/A
A 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
Score 7.4 out of 10
N/A
Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.N/A
Pricing
SAS Data ManagementSQL Server Integration Services (SSIS)
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 ManagementSQL Server Integration Services (SSIS)
Features
SAS Data ManagementSQL Server Integration Services (SSIS)
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
SAS Data Management
8.3
10 Ratings
1% above category average
SQL Server Integration Services (SSIS)
7.5
55 Ratings
9% below category average
Connect to traditional data sources8.610 Ratings9.055 Ratings
Connecto to Big Data and NoSQL8.19 Ratings6.042 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
SAS Data Management
6.7
8 Ratings
18% below category average
SQL Server Integration Services (SSIS)
7.8
55 Ratings
3% below category average
Simple transformations6.18 Ratings10.055 Ratings
Complex transformations7.48 Ratings5.554 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
SAS Data Management
6.7
8 Ratings
15% below category average
SQL Server Integration Services (SSIS)
7.6
53 Ratings
3% below category average
Data model creation5.56 Ratings9.028 Ratings
Metadata management7.47 Ratings7.034 Ratings
Business rules and workflow6.67 Ratings7.044 Ratings
Collaboration7.07 Ratings9.040 Ratings
Testing and debugging6.17 Ratings6.050 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
SAS Data Management
7.9
9 Ratings
1% below category average
SQL Server Integration Services (SSIS)
5.3
43 Ratings
40% below category average
Integration with data quality tools7.69 Ratings6.038 Ratings
Integration with MDM tools8.27 Ratings4.538 Ratings
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SAS Data ManagementSQL Server Integration Services (SSIS)
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User Ratings
SAS Data ManagementSQL Server Integration Services (SSIS)
Likelihood to Recommend
7.6
(11 ratings)
8.0
(54 ratings)
Likelihood to Renew
9.0
(2 ratings)
9.0
(4 ratings)
Usability
6.0
(2 ratings)
8.0
(9 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 ManagementSQL Server Integration Services (SSIS)
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.
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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.
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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.
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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
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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.
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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.
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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.
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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
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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.
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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.
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Performance
SAS
It worked as expected.
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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.
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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.
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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
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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.
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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.
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