We performed a comparison between SAP Data Hub and SSIS based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance."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"
"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 most valuable features for our company are the flexibility and the quick turn around time in producing simple ETL solutions."
"It is easy to set up the product."
"The most valuable feature of SSIS is that you can take data from other servers which are not MS SQL Server or Oracle."
"The solution is easy to use and developer friendly."
"The interface is very user-friendly."
"The initial setup was easy."
"We like that this solution includes a developer edition, free of charge, to allow for training."
"The most important features are it works well and provides self-service BI."
"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."
"Sometimes when we want to publish to other types of databases it's not easy to publish to those databases. For example, the Jet Database Engine. Before the SSIS supported Jet Database Engine but nowadays it doesn't support the Jet Database Engine. We connect to many databases such as Access database, SparkPros databases and the other types of databases using Jet Database Engines now and SSIS now doesn't seem to support it in our databases."
"SSIS is stable, but extensive ETL data processing can have some performance issues."
"This solution needs full support for real-time processing."
"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."
"Future releases should improve the data lineage, as it currently is not good."
"SSIS should be made a little bit more intuitive and user-friendly because it needs an expert-level person to work on it."
"We've had issues in terms of the amount of data that is transferred when we are scheduling."
"Microsoft should offer an on-premises support warranty for those using that deployment. They seem to be withdrawing from on-premises options."
SAP Data Hub is ranked 25th in Data Governance with 3 reviews while SSIS is ranked 2nd in Data Integration with 69 reviews. SAP Data Hub is rated 7.6, while SSIS is rated 7.6. The top reviewer of SAP Data Hub writes "The solution is seamless, but the database sometimes leads to confusion". On the other hand, the top reviewer of SSIS writes "Maintaining the solution and contacting its support team is easy". SAP Data Hub is most compared with Microsoft Purview, SAP Data Services, Alation Data Catalog, Azure Data Factory and Qlik Replicate, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, IBM InfoSphere DataStage, Oracle Data Integrator (ODI) and AWS Glue.
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