We performed a comparison between AWS Data Pipeline [EOL] and SSIS based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool."
"It is a stable solution...It is a scalable 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."
"In SSIS, the scope is not only to handle ETL challenges, but it will allow us to do so many other tasks, such as DBA activities, scripting, calling any .exe or scripts, etc."
"The workflow features have been very valuable. You can have automated workflows and all the steps are controlled. The workflow functionality of integration services is excellent."
"I have used most of the standard SQL features, but the ones that stand out are the Data Flows and Bulk Import."
"I have found its most valuable features to be its package management capabilities and the flexibility it offers in designing workflows."
"The most valuable feature of SSIS is that it can handle real complex transformations."
"The script component is very powerful, things that you cannot normally do, is feasible through C#."
"Like most Microsoft products, SSIS is user-friendly and easy to use."
"It's almost semi-automatic because you must review and approve code push, which works well. Still, we had many problems getting there during the deployment process, but we got there."
"The user-defined functions have shortcomings in AWS Data Pipeline."
"SSIS is stable, but extensive ETL data processing can have some performance issues."
"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."
"The debugging could be improved because when it came to solving the errors that I've experienced in the past, I've had to look at the documentation for more information."
"You have to write push down join & lookup SQL to the database yourself via stored procedures or use of the SQL Task to get very high performance. That said, this is a common complaint for nearly all ETL tools on the market and those that offer an alternative such as Informatica offer them at a very expensive add-on price."
"We're in the process of switching to Informatica, and we need to work out data lineage and data profiling and to improve the quality of our data. SSIS, however, is not that compatible with Informatica. We managed to connect it to Informatica Metadata Manager, but we don't get good lineage, so we have to redo all our ETLs using the Informatica process in order to accept the proper data lineage."
"Future releases should improve the data lineage, as it currently is not good."
"I would like to see better technical documentation because many times information is missing."
"It would be nice if you could run SSIS on other environments besides Windows."
AWS Data Pipeline [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration with 2 reviews while SSIS is ranked 2nd in Data Integration with 69 reviews. AWS Data Pipeline [EOL] is rated 8.0, while SSIS is rated 7.6. The top reviewer of AWS Data Pipeline [EOL] writes "A tool with great orchestration and development capabilities but needs to improve its user-defined functions". On the other hand, the top reviewer of SSIS writes "Maintaining the solution and contacting its support team is easy". AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, Oracle Data Integrator (ODI), FME and Perspectium DataSync, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, IBM InfoSphere DataStage, Oracle Data Integrator (ODI) and AWS Glue. See our AWS Data Pipeline [EOL] vs. SSIS report.
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