SAP Data Hub [EOL] vs SSIS comparison

"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"

"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."

"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."

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

"It's something I needed for bulk imports. I'm not a big fan of it, but I haven't seen anything better."

"SSIS integrates well with SQL servers and Microsoft products, is a cheaper option than other ETL tools, has a lot of in-built transformation, and is easy to learn."

"The stability is very good and I recommend it to my friends, my coworkers, and the other companies."

"The most valuable aspect of this solution is that it is simple to use and it offers a flexible custom script task."

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

"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."

"SSIS is an easy way to do data integration from various data sources; it doesn't matter whether it's a database, flat files, XML, or Web API, it can talk to them and join them all together."

"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."

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

"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."

"SSIS is cumbersome despite its drag-and-drop functionality. For example, let's say I have 50 tables with 30 columns. You need to set a data type for each column and table. That's around 1,500 objects. It gets unwieldy adding validation for every column. Previously, SSIS automatically detected the data type, but I think they removed this feature. It would automatically detect if it's an integer, primary key, or foreign key column. You had fewer problems building the model."

"Upgrading is usually painful and time consuming despite what MS says"

"The logging capabilities could be improved, particularly for error logging."

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

"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."

"The login process needs improvement."

"SSIS is not stable."

"Sometimes, there are compatibility issues with some features."

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

"People have to opt for a perpetual-based licensing model."

"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."

"My advice is to look at what your configuration will be because most companies have their own deals with Microsoft."

"This solution is a free of charge addition to our SQL licence. However, the only way this tool can be utilized is as a feature of the SQL licence, which may make it unattractive to organizations who don't wish to purchase the wider-ranging licence."

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

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

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