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."

"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."

"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"

"The most valuable feature of the solution is performance."

"It is well designed and quite straightforward, with not much of a learning curve involved, and it is a well-documented solution."

"Despite the complexity when dealing with advanced transformations, it is straightforward for simple data movements, and the performance is excellent."

"Overall, it's a good product."

"The return on investment has been very high; the tool has made us tremendously more efficient and saved us a significant amount of money, though I cannot put an exact figure on it."

"It has good data integration and good processes."

"I have never had a situation where a particular transformation was not possible in SSIS."

"It is also easy to learn and user-friendly. Microsoft is also good in terms of technical support. They have built a large community all over the world."

"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."

"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."

"It's difficult to refactor SSIS. It gets cumbersome to reuse the solution."

"This may be done, but upgrades to new versions required re-implementing each package."

"The performance of this solution is not as good as other tools in the market."

"Options for scaling could be improved."

"Sometimes, there are compatibility issues with some features. From time to time, I also face issues when trying to migrate. If I misconfigure things when I use Snapshot, the migration will fail.It can take a long time to migrate huge amounts of data, so it would be nice if that could be faster."

"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."

"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."

"We purchase an add on called task factory primarily to allow bulk delete, update and upsert capability. I'd like to see this be part of the standard package."

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

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

"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."

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

"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."

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

"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."

"I'm not involved in licensing details, but SSIS provides value to our organization by simplifying data management tasks."