We performed a comparison between SAP Data Hub, SSIS, and WhereScape RED based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance."The most valuable feature is the S/4HANA 1909 On-Premise"
"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."
"I have used most of the standard SQL features, but the ones that stand out are the Data Flows and Bulk Import."
"The reporting on the solution is perfect. I didn't expect to see reporting features, but they are great."
"We can connect with multiple data sources easily using an external connector in SSIS."
"It is easy to set up the solution."
"The most valuable feature of SSIS is that you can take data from other servers which are not MS SQL Server or Oracle."
"The most important features are it works well and provides self-service BI."
"The most valuable features for our company are the flexibility and the quick turn around time in producing simple ETL solutions."
"The technical support is very good."
"I found the initial setup very easy."
"RED generates comprehensive documentation and regenerates it as quickly as things changes, but it also provides impact documentation."
"Naturally produces a way to easily debug your DW data solutions."
"It has a built-in automatic scheduling environment."
"Data transformations and rollups are easy to accomplish."
"The most valuable feature is the metadata generated code."
"This is a fantastically robust DW tool that will make you at least 10 times faster in producing a DW."
"Quickly develops a data warehouse for our organization with documentation and can track back/forward features."
"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."
"At one point, we did have to purchase an add-on."
"It hangs a lot of the time."
"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."
"The performance of SSIS could improve when comparing it to Oracle Database."
"We've had issues in terms of the amount of data that is transferred when we are scheduling."
"I would like to see more standard components out of the box, such as SFTP, and Data Compression components."
"I have a tool called ZappySys. I need that tool to cut down on the complexity of SSIS. That tool really helps with a quick turnaround. I can do things quickly, and I can do things accurately. I can get better reporting on errors."
"I would like to see better technical documentation because many times information is missing."
"They need a more robust support center. It has been a bit difficult to find solutions to problems that are out-of-the-box."
"Improve the object renaming ability (it works, but it could be more automated)."
"The scheduled jobs which are run by the WhereScape scheduler seem to be a strangely separate animal. Unlike all other WhereScape objects, jobs cannot be added to WhereScape projects. Also, unlike all other objects, jobs also cannot be deleted using a WhereScape deployment application."
"Customization could be better."
"Project-based searching of data objects in the data warehouse browser needs to be improved."
"No support for change data capture or delta detection - that must be custom coded ."
"It could use a tool to diagnose what is missing from the environment for WhereScape to install successfully."
"The solution can be a little more user-friendly on enterprise-level where people use it."
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