SAP Data Hub vs SSIS comparison

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

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

"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."

"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."

"The transformation of data is very good in SSIS."

"The interface is very user-friendly."

"With this solution, there is the potential to expand, so that you can immediately write code onto the SQL server."

"Stability is rated at 10."

"The setup is easy to use and understand."

"With this solution, there is the potential to expand so that you can immediately write code onto the SQL server."

"SSIS' most valuable feature is its reporting services."

"The main value of any Microsoft product is the ease of use. You can achieve more with less time. That's what's beneficial for me. With many competitors, you might need to spend more time coming up with a solution because you have to focus on taking care of the product."

"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."

"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."

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

"The company has everything offshore."

"It should have other programming languages supported as well from a scripting perspective. Currently, only C# and VB.NET are supported, which limits it to .NET."

"Microsoft support isn't helpful most of the time. We get most of our answers from forums."

"The interface could use improvement, as well as the administrative tools. Jobs fail from time to time for different reasons."

"When I compare Talend and SSIS, Talend provides more features. With Talend, we can handle a large volume of data. Talend is usually used to treat a large volume of data, which makes it better than SSIS on the data side. Talend also has a very good Talend Management Console to schedule the jobs and do other things. It can also be easily connected to version control tools such as GitHub or SVN. The last time I used SSIS, it was connected through TSS for the Windows Console version. I am not sure it has been improved or not. If it is not improved, Microsoft should improve it. They should change the product to provide another console."

"There were also not enough instructions from Microsoft in regard to this application or this technology, which can easily be improved upon."

"There is connectivity with other databases, however, this is the most significant issue that has to be addressed."

"Future releases should improve the data lineage, as it currently is not good."

"We would like the solution to be expanded so that it is available for other platforms than just Microsoft."

"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."

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

"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."

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

"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."

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

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

"We have an enterprise license for this solution."