We performed a comparison between Informatica Data Integration Hub 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."The technical support services are good."
"The MDM solution is capable of integrating multiple systems, so it helped us to solve the purpose of centralizing the depository as well as the standardization of mass data. It takes away all the ambiguity around data integrity issues or all the process challenges which happen when every stage of a process uses a different source as master data."
"Performance and flexibility-wise, they're very user-friendly."
"SSIS' best feature is SFTP connectivity."
"The scalability of SSIS is good."
"The data reader is the most valuable feature."
"The solution is easy to use and developer friendly."
"It's something I needed for bulk imports. I'm not a big fan of it, but I haven't seen anything better."
"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."
"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."
"Its compatibility with Microsoft products has been very valuable to our company. It fits well within the architecture."
"The initial setup was not very straightforward. Not complex, but not very simple either."
"When it comes to UI look and feel and user experience, Informatica is not as good as other solutions."
"They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently."
"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."
"Performance could be better."
"The solution could improve by having quicker release updates."
"Generic processes should be used instead of custom code for each table."
"A change in the metadata source cripples the whole ETL process, requiring each module to be manually reopened."
"Tuning using this solution requires extensive expertise to improve performance."
"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 have a stability problem because when something works, it works one time. The next time, it doesn't work."
More Informatica Data Integration Hub Pricing and Cost Advice →
Informatica Data Integration Hub is ranked 37th in Data Integration with 3 reviews while SSIS is ranked 2nd in Data Integration with 69 reviews. Informatica Data Integration Hub is rated 8.0, while SSIS is rated 7.6. The top reviewer of Informatica Data Integration Hub writes "Excellent at standardizing mass data and capable of integrating with multiple solutions ". On the other hand, the top reviewer of SSIS writes "Maintaining the solution and contacting its support team is easy". Informatica Data Integration Hub is most compared with Informatica PowerCenter, AWS Database Migration Service, Azure Data Factory, Mule Anypoint Platform and SAP Data Hub, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, IBM InfoSphere DataStage, Oracle Data Integrator (ODI) and AWS Glue. See our Informatica Data Integration Hub vs. SSIS report.
See our list of best Data Integration vendors.
We monitor all Data Integration 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.
