SAP Data Hub vs SSIS comparison

"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."

"Its connection to on-premise products is the most valuable. We mostly use the on-premise connection, which is seamless. This is what we prefer in this solution over other solutions. We are using it the most for the orchestration where the data is coming from different categories. Its other features are very much similar to what they are giving us in open source. Their push-down approach is the most advantageous, where they push most of the processing on to the same data source. This means that they have a serverless kind of thing, and they don't process the data inside a product such as Data Hub. They process the data from where the data is coming out. If it is coming from HANA, to capture the data or process it for analytics, orchestration, or management, they go to the HANA database and give it out. They don't process it on Data Hub. This push-down approach increases the processing speed a little bit because the data is processed where it is sitting. That's the best part and an advantage. I have used another product where they used to capture the data first and then they used to process it and give it. In Data Hub, it is in reverse. They process it first and give it, and then they put their own manipulations. They lead in terms of business functions. No other solution has business functions already implemented to perform business analysis. They have a lot of prebuilt business functions for machine learning and orchestration, which we can use directly to get an analysis out from the existing data. Most of the data is sitting as enterprise data there. That's a major advantage that they have."

"The most valuable feature is the S/4HANA 1909 On-Premise"

"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 performance is better than doing it in some alternative ways. We don't have to worry about so much manual work."

"The interface is very user-friendly."

"The most valuable feature of SSIS is that you can take data from other servers which are not MS SQL Server or Oracle."

"SSIS integrates well with SQL servers and Microsoft products."

"The scalability of SSIS is good."

"The setup was easy. All Microsoft products are easy to set up."

"The performance and stability are good."

"In 2018, connecting it to outside sources, such as IoT products or IoT-enabled big data Hadoop, was a little complex. It was not smooth at the beginning. It was unstable. It took a lot of time for the initial data load. Sometimes, the connection broke, and we had to restart the process, which was a major issue, but they might have improved it now. It is very smooth with SAP HANA on-premise system, SAP Cloud Platform, and SAP Analytics Cloud. It could be because these are their own products, and they know how to integrate them. With Hadoop, they might have used open-source technologies, and that's why it was breaking at that time. They are providing less embedded integration because they want us to use their other products. For example, they don't want to go and remove SAP Analytics Cloud and put everything in Data Hub. They want us to use SAP Analytics Cloud somewhere else and not inside the Data Hub. On the integration part, it lacks real-time analytics, and it is slow. They should embed the SAP Analytics Cloud inside Data Hub or support some kind of analysis. They do provide some analysis, but it is not extensive. They are moreover open source. So, we need a lot of developers or data scientists to go in and implement Python algorithms. It would be better if they can provide their own existing algorithms and give some connections and drop-down menus to go and just configure those. It will make things really quick by increasing the embedded integrations. It will also improve the process efficiency and processing power. Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this. In terms of technology and performance, it is a little slow as compared to Microsoft and other data orchestration products. I haven't used other products, but I have read about those products, their settings, and the milliseconds that they do. In Azure Purview, they say that they can copy, manage, or transform the data within milliseconds. They say that they can transform 100 gigabytes of data within three to five seconds, which is something SAP cannot do. It generally takes a lot of time to process that much amount of data. However, I have never tested out Azure."

"The company has everything offshore."

"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."

"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."

"There were some issues when we tried to connect it to data storage. It was a connection issue."

"We'd like more integration capabilities."

"The solution should work on the GPU, graphical processing unit. There should also be piping integration available."

"Involving a data lake or data engineering aspects would be useful. While it is there, we need more features included."

"We have issues with SSIS connectors while extracting data from Excel sources."

"I have a tool called ZappySys. I need that tool to cut down on the complexity of SSIS. That tool really helps with a quick turnaround. I can do things quickly, and I can do things accurately. I can get better reporting on errors."

"It would be nice if you could run SSIS on other environments besides Windows."

"The Cloud is very expensive, but SAP HANA previous service is okay."

"We have an enterprise license for this solution."

"It would be beneficial if the solution had a less costly cloud offering."

"This solution is included with the MSSQL server package."

"SSIS is a cheaper option compared to the cost of other ETL tools."

"Based on my experience and understanding, Talend comes out to be a little bit expensive as compared to SSIS. The average cost of having Talend with Talend Management Console is around 72K per region, which is much higher than SSIS. SSIS works very well with Microsoft technologies, and if you have Microsoft technologies, it is not really expensive to have SSIS. If you have SQL Server, SSIS is free."

"t's incredibly cost effective, easy to learn the basics quickly (although like all ETL tools requires the traditional learning curve to get good at) and has an immense user base."

"SSIS is fairly well-priced - I would rate it at four out of five."

"Our license with SSIS is annual."