We performed a comparison between IBM InfoSphere DataStage and SSIS based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: SSIS beat out IBM InfoSphere DataStage in all categories we compared.
"When we have needed help from the IBM team, they were helpful. Our company is a premium partner so we get fast responses."
"The most valuable feature of the solution is the ability to incorporate very complex business rules in Data Stage."
"It works with multiple servers and offers high availability."
"The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms"
"It is quite useful and powerful."
"Offers great flexibility."
"The best feature of IBM InfoSphere DataStage for me was that it was very much user-friendly. The solution didn't require that much raw coding because most of its features were drag and drop, plus it had a large number of functionalities."
"As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. Its error logging mechanism is far simpler and easier to understand than other data integration tools. The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables."
"The initial setup was easy."
"SSIS' best feature is SFTP connectivity."
"Like most Microsoft products, SSIS is user-friendly and easy to use."
"The most important features are it works well and provides self-service BI."
"The most valuable feature of SSIS is that you can take data from other servers which are not MS SQL Server or Oracle."
"It is easy to set up the solution."
"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."
"SSIS' most valuable feature is its reporting services."
"The error messaging needs to be improved."
"Currently lacking virtualization ability."
"The solution can be a bit more user-friendly, similar to Informatica."
"What needs improvement in IBM InfoSphere DataStage is its pricing. The pricing for the solution is higher than its competitors, so a lot of the clients my company has worked with prefer other tools over IBM InfoSphere DataStage because of the high price tag. Another area for improvement in the solution stems from a lot of new types of databases, for example, databases in the cloud and big data have become available, and IBM InfoSphere DataStage is working on various connectors for different data sources, but that still isn't up-to-date, meaning that some connectors are missing for modern data sources. The latest version of IBM InfoSphere DataStage also has a complex architecture, so my team faced frequent outages and that should be improved as well."
"In the future, I would like to see more integration with cloud technologies."
"Their web interface is good but the on-prem sites are outdated. The solution could also be improved if they could integrate the data pipeline scheduling part of their interface."
"Its documentation is not up to the mark. While building APIs, we had a lot of problems trying to get around it because it is not very user-friendly. We tried to get hold of API documentation, but the documentation is not very well thought out. It should be more structured and elaborate. In terms of additional features, I would like to see good reporting on performance and performance-tuning recommendations that can be based on AI. I would also like to see better data profiling information being reported on InfoSphere."
"The initial setup could be more straightforward."
"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."
"SSIS doesn't have a very good user interface, but if you can work with it, it'll provide you with almost all of the functionality."
"The creation of the measure in the DAC's model could be improved."
"I would like to see more features in terms of the integration with Azure Data Factory."
"In terms of its performance, it could be better. That could be something that would be easy and welcomed as an upgrade."
"The solution could improve by having quicker release updates."
"Options for scaling could be improved."
"The performance of SSIS could improve when comparing it to Oracle Database."
IBM InfoSphere DataStage is ranked 11th in Data Integration Tools with 10 reviews while SSIS is ranked 3rd in Data Integration Tools with 35 reviews. IBM InfoSphere DataStage is rated 7.8, while SSIS is rated 7.6. The top reviewer of IBM InfoSphere DataStage writes "Robust, easy to use, has a simple error logging mechanism, and works very well for huge volumes of data". On the other hand, the top reviewer of SSIS writes "SSIS 2016 - The good, the bad, and the ugly". IBM InfoSphere DataStage is most compared with Talend Open Studio, Azure Data Factory, AWS Glue, Informatica PowerCenter and IBM InfoSphere Information Server, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, Oracle Data Integrator (ODI), AWS Glue and Alteryx Designer. See our IBM InfoSphere DataStage vs. SSIS report.
See our list of best Data Integration Tools vendors and best Cloud Data Integration vendors.
We monitor all Data Integration Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
