We performed a comparison between SAP Analytics 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."This product provides good reports using a single pane of glass."
"What I like best about this solution is that it is built into the SAP line, making it easier to integrate with other SAP products."
"Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."
"For report scheduling, I always prefer SAP because it has the most powerful scheduling features, like sending reports to more than 1,000 customers per day. That option is not as good in Microsoft BI and in Tableau it only exists as an add-on option."
"SAP Analytics Hub offers a user-friendly interface with effortless configuration, seamless updates, and real-time availability of information. It avoids the complexities associated with batch processing, providing a smooth and efficient experience."
"It's already very user-friendly and has a good dashboard."
"SSIS' most valuable feature is its reporting services."
"It's something I needed for bulk imports. I'm not a big fan of it, but I haven't seen anything better."
"SSIS provides you with lookup and transformation functions, and you have the flexibility to write your own custom code."
"The most valuable feature of SSIS is that you can take data from other servers which are not MS SQL Server or Oracle."
"The debugging capabilities are great, particularly during data flow execution. You can look into the data and see what's going on in the pipeline."
"We can connect with multiple data sources easily using an external connector in SSIS."
"The interface is very user-friendly."
"The analytics part of SAP has not been that good up until now. They're still in the infant stage and development is still going on. SAP has some cloud analytics and they're trying to configure it in Lumira, but it's not that good at this point."
"The technical support for Analytics Hub is limited and could be improved."
"The interface can be simplified because it is not a user-friendly experience."
"Pricing and support are integrated into the system. However, the support process can be challenging, particularly when navigating the SAP support site, which lacks user-friendliness and ease of access."
"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."
"In terms of its performance, it could be better. That could be something that would be easy and welcomed as an upgrade."
"At one point, we did have to purchase an add-on."
"The performance of SSIS could improve when comparing it to Oracle Database."
"We'd like them to develop data exploration more."
"We have a stability problem because when something works, it works one time. The next time, it doesn't work."
"Microsoft's technical support has decreased in quality over the last few years, becoming less responsive and tending to pass problems on instead of solving them."
"I would like to see more features in terms of the integration with Azure Data Factory."
"The creation of the measure in the DAC's model could be improved."
SAP Analytics Hub is ranked 46th in Data Integration with 6 reviews while SSIS is ranked 2nd in Data Integration with 69 reviews. SAP Analytics Hub is rated 7.2, while SSIS is rated 7.6. The top reviewer of SAP Analytics Hub writes "Powerful capabilities for cross-functional reporting and dashboard creation, with real-time access". On the other hand, the top reviewer of SSIS writes "Maintaining the solution and contacting its support team is easy". SAP Analytics Hub is most compared with SAP Analytics Cloud, Workday Prism Analytics, Logi Analytics and Salesforce Einstein Analytics, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, IBM InfoSphere DataStage, Oracle Data Integrator (ODI) and AWS Glue. See our SAP Analytics 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.