SAS Data Management vs. SQL Server Integration Services

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 6.5 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
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
Considered Both Products
SAS Data Management
Chose SAS Data Management
The product is best when combined with the other products of the SAS suite. In particular, it's great for the preparation, analysis and display of the data if it is carried out with the products indicated above. When it is combined with products other than those of the SAS …
Chose SAS Data Management
SAS Data Management Platform requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres. Has almost all features present as compared to the alternatives we evaluated. On top of it, SAS offered statistical transformations and strong metadata …
Chose SAS Data Management
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.
Chose SAS Data Management
Because SAS Data Integration Studio is the third party it seems to work equally well with all our systems. That is to say that it doesn't really work better with Microsoft or Oracle but really just seems to work equally well with all of them. It has a very powerful back-end …
Chose SAS Data Management
Datastage might be the closest one. Being a full ETL tool, it's weird to compare both. Datastage might be more robust for extraction but it lacks the simplicity that the end users need for everyday data extract and analysis.
Chose SAS Data Management
SAS/Access can work well with MySQL. There are some coding differences between the two, for example how missing values are handled or rules for variable names. MySQL has simpler coding, but if you are familiar with Base SAS, it is not too difficult to learn. With SAS/Access the …
Chose SAS Data Management
SAS integration is not easy because there are various PAM related modules which require additional vendor involvement. Overall once all integrations are set up, it's a great tool and provides multiple options to users for running their model.
SSIS
Chose SSIS
Fivetran, Stitch, and Etleap are all 1000x more modern than SSIS and 100x less aggravating. While those tools are mainly used to sync data rather than transform it, the ELT model works much better than the ETL model in most situations.
Chose SSIS
We just selected SSIS because we use SQL Server Management System (SSMS) to manage our database. As SSIS is a component of the Microsoft SQL Server there are no problems with integration and everything works perfectly. In addition, we don't have to learn how to use another …
Chose SSIS
Low-cost relative to other products - in fact, zero cost if one is considering the license cost as being for the database engine with Integration Services added on. It has a comparable range of functionality and performance and as such it's a 'no-brainer' to use SSIS over …
Chose SSIS
SnapLogic and Azure Data Factory are better than SQL Server Integration Services mostly because they are Integration Platform as a Service (IPAAS) services, whereas SQL Server Integration Services is an on-premise. So the basic differences such as, need a VPN to connect to the …
Chose SSIS
SSIS is similar to Alteryx and Informatica PowerCenter in a way because these are all drag-and-drop ETL tools with similar functionality. Alteryx is a step ahead because it has some advanced ETL functionalities including statistical calculations etc. and a better ability to set …
Chose SSIS
Alteryx Designer is easier to use for machine learning models. The functionality of drag and drop is the most valuable. It is a very user-friendly tool that can be understood easily. My teams also work with other solutions, such as Integration Services, and these solutions are …
Chose SSIS
I had nothing to do with the choice or install. I assume it was made because it's easy to integrate with our SQL Server environment and free. I'm not sure of any other enterprise level solution that would solve this problem, but I would likely have approached it with …
Chose SSIS
SQL Server Integration Services is a good alternative to cut down on costs and have more flexibility on developing.
Chose SSIS
SAP Business Objects was a primary concurrent software against the MS SSIS but it has a more steep learning curve and requires additional investment into the SAP-related software infrastructure. With SSIS one can start easily with simple data extraction / DTL tools of Express …
Chose SSIS
I personally prefer SSIS. There are items that each do better than the others, but the ease of use of SSIS, along with its extensibility to 3rd party, ability to write any code required in the tool, and uses the same IDE for the MS BI suite (more of an issue if you're not a …
Chose SSIS
I used the Pentaho Data Integration (PDI) ETL tool. The PDI ETL tool does not have a public user collection like the SQL Server Integration Services(SSIS) ETL tool. Therefore, you may not be able to find instant solutions for your problems. But it has advantages over the SSIS …
Chose SSIS
We selected SSIS as it came part of our standard SQL license. We did not evaluate any other solutions as SSIS has met all our needs.
Chose SSIS
SQL Server is already in our wheelhouse so it only made sense to utilize the tools we already had available to us--SSIS, SSAS, & SSRS. Other non-technical users seem to be more comfortable using alternatives to SSIS. However, these alternatives are not as good as SSIS at …
Chose SSIS
These are all great products and, honestly, can move data faster. They include more enterprise features and have some great qualities about each. However, they all cost a lot depending on the implementation you need. With SQL Server Integration Services, you do not have any …
Chose SSIS
When looking to evaluate different options, we looked first to the experience and software we had in-house that would accomplish the job. When assessing alternatives outside we were looking for the tool that would offer the most flexibility.

SSIS provided the most robust set of …
Chose SSIS
It’s basically a free tool and it has more features than anyone would ever need. If you look online for answers for SISS packages you will find a world of information that can cover almost any situation for your business. This tool can be used in any business and it provides …
Chose SSIS
SSIS is a very basic, developer-oriented ETL tool and while it lacks many of the nice UX features of its competitors it is a powerful tool that comes as a part of SQL Server and, in the hands of experienced developers with domain knowledge, can meet most organizations' ETL …
Chose SSIS
SSIS and Denodo differ in their approaches to ETL and Data integrations. SSIS is more affordable from a cost and licensing perspective (if you have Microsoft licensing), but Denodo is no slouch. If you go with Denodo, you are not creating data, there are pros and cons to …
Chose SSIS
SQL Server Integration Services does a good job for our SQL Server environments and was selected for that reason. For a SQL Server-only implementations, I would recommend SQL Server Integration Services. When we compared SSIS to other ETL providers against SQL Server, SSIS was …
Chose SSIS
Informatica Enterprise Data Integration
Chose SSIS
SSIS has more configuration options and its smooth running GUI (in visual studio) makes implementation easier. It's ability to provide visual programming and allow users to input code for more complex logic and configuration gives users a great degree of flexibility.
Chose SSIS
Selection was done because of: 1. Lower Cost, 2. RDBMS was SQL Server and SSIS is tightly coupled for optimal performance
Features
SAS Data ManagementSQL Server Integration Services
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
SAS Data Management
8.3
Ratings
1% below category average
SQL Server Integration Services
7.5
Ratings
11% below category average
Connect to traditional data sources8.60 Ratings8.80 Ratings
Connecto to Big Data and NoSQL8.10 Ratings6.20 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
SAS Data Management
6.7
Ratings
20% below category average
SQL Server Integration Services
8.1
Ratings
1% below category average
Simple transformations6.10 Ratings8.50 Ratings
Complex transformations7.40 Ratings7.70 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
SAS Data Management
6.7
Ratings
17% below category average
SQL Server Integration Services
7.4
Ratings
7% below category average
Data model creation5.50 Ratings8.60 Ratings
Metadata management7.40 Ratings7.10 Ratings
Business rules and workflow6.60 Ratings8.20 Ratings
Collaboration7.00 Ratings7.30 Ratings
Testing and debugging6.10 Ratings6.10 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
SAS Data Management
7.9
Ratings
3% below category average
SQL Server Integration Services
6.9
Ratings
16% below category average
Integration with data quality tools7.60 Ratings7.40 Ratings
Integration with MDM tools8.20 Ratings6.40 Ratings
Best Alternatives
SAS Data ManagementSQL Server Integration Services
Small Businesses
Skyvia
Skyvia
Score 9.9 out of 10
Skyvia
Skyvia
Score 9.9 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
SAS Data ManagementSQL Server Integration Services
Likelihood to Recommend
7.6
(0 ratings)
8.0
(0 ratings)
Likelihood to Renew
9.0
(0 ratings)
10.0
(0 ratings)
Usability
6.0
(0 ratings)
9.3
(0 ratings)
Performance
9.0
(0 ratings)
8.8
(0 ratings)
Support Rating
7.7
(0 ratings)
8.2
(0 ratings)
Implementation Rating
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
SAS Data ManagementSQL Server Integration Services
Likelihood to Recommend
SAS/Access is well suited for companies who need to manipulate and analyze large databases and data-sets. It does the same thing as SQL, and if you already know basic SAS coding it is easier to pick up. SAS/Access works well with analyzing data from multiple data-sources at once, including large databases stored in external and virtual environments like Hadoop. Data can be easily reassembled from relational databases for use by the user. SAS/Access is not necessary if you are only pulling data from one database that you have the physical file for.
Read full review
Ideal for daily standard ETL use cases whether the data is sourced from / transferred to the native connectors (like SQL Server) or FTP. Best if the company uses MS suite of tools. There are better options in the market for chaining tasks where you want a custom flow of executions depending on the outcome of each process or if you want advanced functionality like API connections, etc.
Read full review
Pros
  • SAS supports the main database connection options that allow you to optimize the performance of your extracts and loads.
  • Simplicity of the syntax for a basic connection.
  • Ability to configure by an administrator in a BI environment so that all users can benefit from the connection without having to establish it by themselves.
Read full review
  • SSIS works very well pulling well-defined data into SQL Server from a wide variety of data sources.
  • It comes free with the SQL Server so it is hard not to consider using it providing you have a team who is trained and experienced using SSIS.
  • When SSIS doesn't have exactly what you need you can use C# or VBA to extend its functionality.
Read full review
Cons
  • It is a versatile product but sometimes difficult to use due to the very close link with the proprietary programming language where specific knowledge is required.
  • Compared to competitors on the market that offer the same functions for the integration perimeter, it is certainly very expensive.
  • It is very simple to use when combined with products from the SAS suite, less so it is being used stand-alone or integrated with other well-known brands.
Read full review
  • SSIS memory usage can be quite high particularly when SSI and SQL server are on the same machine
  • SSIS is not available on any environment other than Microsoft Windows
  • SSIS does not function with any database engine back-end other than Microsoft SQL Server
Read full review
Likelihood to Renew
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
SSIS is responsible for running core business processed managing core business data. It can be managed, improved and expanded using minimal internal resources. It is also able to support all of our current data infrastructure. Replacing SSIS would be time consuming and costly with no apparent ROI.
Read full review
Usability
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.
Read full review
SSIS has a drag and drop based developer interface, so it is relatively straight forward to get started. You can start to get into the weeds pretty quickly as your solution becomes more complex. However, most of the base functions are right in front of you for a developer. You can also set project and solution level parameters, so when you deploy to new environments, you don't have to jump into each package to change your variables and settings. (For example, default directory to ingest flat files).
Read full review
Performance
It worked as expected.
Read full review
Raw performance is great. At times, depending on the machine you are using for development, the IDE can have issues. Deploying projects is very easy and the tool set they give you to monitor jobs out of the box is decent. If you do very much with it you will have to write into your projects performance tracking though.
Read full review
Support Rating
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.
Read full review
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.
Read full review
Implementation Rating
No answers on this topic
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
Read full review
Alternatives Considered
Because SAS Data Integration Studio is the third party it seems to work equally well with all our systems. That is to say that it doesn't really work better with Microsoft or Oracle but really just seems to work equally well with all of them. It has a very powerful back-end that allows us to transform and load our data quickly and efficiently programmer time wise.
Read full review
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
Read full review
Return on Investment
  • The platform enabled us to have a single repository of customers to run campaigns on.
  • Feedback from various campaigns is stored in a single database, which makes running A/B analysis easier.
  • Helped improve data quality due to SAS Dataflux being a part of the SAS Data Management Platform.
Read full review
  • 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.
Read full review
ScreenShots