We performed a comparison between SAS Data Management and SSIS based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."This is an established product with powerful data analysis and varied options for user entry points."
"The technical support is excellent."
"I am impressed with the tool's ability to customize."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"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."
"If you compare it to SQL, the memory and development times are very quick."
"The tool is reliable, quick, and powerful."
"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."
"I have found its most valuable features to be its package management capabilities and the flexibility it offers in designing workflows."
"The main value of any Microsoft product is the ease of use. You can achieve more with less time. That's what's beneficial for me. With many competitors, you might need to spend more time coming up with a solution because you have to focus on taking care of the product."
"Built in reports show package execution and messages. Logging can also be customized so only what is needed is logged. There is also an excellent logging replacement called BiXpress that provides both historical and real-time monitoring which is more efficient and much more robust than the built-in logging capabilities. And none of this requires custom coding to make it useful unlike many other ETL tools."
"We like that this solution includes a developer edition, free of charge, to allow for training."
"The most valuable features of this solution are the fast insert and fuzzy logic matching."
"Its compatibility with Microsoft products has been very valuable to our company. It fits well within the architecture."
"The setup is straightforward. It's very easy to install."
"Data Flows are the main component we use. These can range from a simple source to sink ETL, to many source to many sink dataflows."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
"The solution is quite expensive and hard to install/configure."
"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."
"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."
"The solution could use better documentation."
"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."
"I would like the tool to include the ability to automate the modifications of the integrations."
"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."
"SSIS sometimes hangs, and there are some problems with servers going down after they've been patched."
"Improvement as per customer requirements."
"SSIS can improve in handling different data sources like Salesforce connectivity, Oracle Cloud's connectivity, etc."
"The security could be improved, as it is more important in our context."
"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."
"SSIS is cumbersome despite its drag-and-drop functionality. For example, let's say I have 50 tables with 30 columns. You need to set a data type for each column and table. That's around 1,500 objects. It gets unwieldy adding validation for every column. Previously, SSIS automatically detected the data type, but I think they removed this feature. It would automatically detect if it's an integer, primary key, or foreign key column. You had fewer problems building the model."
"We'd like more integration capabilities."
"I would also like to see full integration with our BI because then our full load of data will be available in our organization. They should incorporate an ATL process."
SAS Data Management is ranked 43rd in Data Integration with 15 reviews while SSIS is ranked 2nd in Data Integration with 69 reviews. SAS Data Management is rated 8.4, while SSIS is rated 7.6. 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, Tungsten RPA, Microsoft Purview Data Governance, IBM InfoSphere DataStage and Palantir Foundry, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, IBM InfoSphere DataStage, Oracle Data Integrator (ODI) and AWS Glue. See our SAS Data Management vs. SSIS report.
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