SAP Data Hub [EOL] vs SSIS comparison

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

"They lead in terms of business functions, and no other solution has business functions already implemented to perform business analysis, with a lot of prebuilt business functions for machine learning and orchestration that we can use directly to get an analysis out from the existing enterprise data."

"Having this solution enables us to approach our clients to upgrade their databases, and we upgrade them according to their business requirements."

"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."

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

"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."

"SSIS is a tool which anybody can learn in no time."

"Overall, it's a good product."

"The main benefits SSIS provides for my company is to streamline processes, and the reporting process is the most useful for me, as most of our data is captured into SQL, making it easier to pull the differences in reports for the year."

"We can connect with multiple data sources easily using an external connector in SSIS."

"It is easily scheduled and integrates well with SQL Server and SQL Server Agent jobs."

"The ability of SSIS to transform and transport data is extremely valuable to me. It allows for intelligent extraction and manipulation of data during the process. Improved error handling would enhance ETL processes further. I haven't directly utilized the data flow components but they seem capable of supporting complex data integration needs."

"The most valuable features of SSIS are that it works with the query language and it can import data from different sources."

"The company has everything offshore."

"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."

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

"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."

"If you run SSIS from the local system, it will lag, but it will work properly if you host on the cloud somewhere."

"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."

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

"SSIS could be integrated with more services, such as Power BI, to make the reporting structures more user-friendly."

"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."

"SSIS can improve in handling different data sources like Salesforce connectivity, Oracle Cloud's connectivity, etc. Also, handling of the different data types will be a big challenge here; so expecting improvement in these areas."

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

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

"The solution is economical. You don't have to worry about the pricing as long as you're installing both services on the same server."

"Depending on the arrangement that a certain company has with Microsoft, it may supply the permanent license that is included in the SQL server license, or it may be a time-bound license if it is a partner license or other enterprise license."

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

"It comes bundled with other solutions, which makes it difficult to get the price on the specific product."

"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."

"SSIS' licensing is a little high, but it gives good value for money."

"The solution comes free of cost."