SAP Data Hub [EOL] vs SSIS comparison

"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."

"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."

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

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

"It is easy to set up. The deployment is also very quick."

"This solution is easy to implement, has a wide variety of connectors, has support for Visual Basic, and supports the C language."

"With virtualization enabled we are able to scale horizontally."

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

"We use this solution for ETL, which includes data summation and cleaning."

"The initial setup was easy."

"The setup is straightforward. It's very easy to install."

"The company has everything offshore."

"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 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."

"Technical support is not efficient, and I've had to search on the web to solve the problems."

"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."

"Microsoft should offer an on-premises support warranty for those using that deployment. They seem to be withdrawing from on-premises options."

"The interface could use improvement, as well as the administrative tools. Jobs fail from time to time for different reasons. It's not a problem with Microsoft, or SSIS itself. The problems are external, but to find the problems and analyze them it takes too much time."

"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."

"SSIS is not that scalable. You can scale it vertically to handle a high load, but it lacks horizontal scalability."

"SSIS should be made a little bit more intuitive and user-friendly because it needs an expert-level person to work on it."

"The solution should offer more information online for users of SSIS."

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

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

"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."

"The solution comes free of cost."

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

"The solution is available at a lesser price than that of Informatica."

"Our license with SSIS is annual."

"If you don't want to pay a lot of money, you can go for SSIS, as its open-source version is available. When it comes to licensing, SSIS can be expensive."

"This solution has provided an inexpensive tool, and it is easy to find experienced developers."