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"

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

"The workflow features have been very valuable; you can have automated workflows and all the steps are controlled, and the workflow functionality of integration services is excellent."

"I have used most of the standard SQL features, but the ones that stand out are the Data Flows and Bulk Import."

"The data flow, which controls the data, including where to store it, is an excellent feature and is one of the most interesting points about SQL Integration Services."

"We highly recommend this solution as it is comparable with all of the major ETL software on the market."

"It has the ability to be deployed into the cloud through Data Factory, and run completely as a software as a service in the cloud."

"Its compatibility with Microsoft products has been very valuable to our company. It fits well within the architecture."

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

"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."

"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 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."

"I would like to see better technical documentation because many times information is missing."

"Scalability not on the same level as with IBM Datastage."

"It's a legacy tool, that is nearing the end of its useful life."

"Improving the login procedure would make our reporting easier on monitoring our ETL processes."

"Need to improve error logging although it does provide error logs but there is still more room for improvement in this area."

"When I compare Talend and SSIS, Talend provides more features."

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

"The solution comes free of cost."

"All of my clients have this product included as part of their Microsoft license."

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

"We purchased the standard edition of SQL Server and SSIS came with it free of charge."

"Our license with SSIS is annual."

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

"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."

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