We performed a comparison between Informatica PowerExchange and SAP Data Hub based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."From the product feature or product capability perspective, the aspects around integration, transformation, and standardization are valuable. It's fairly easy to use. It has a GUI-based interface."
"The agentless RCDC enablement through PowerExchange is a great idea and has worked very well so far."
"This product is easy to install and it can be done in a few hours."
"The product’s flexibility is valuable."
"Mainstream integration and real-time integration are the best features."
"Overall, it's a good tool. It's currently number one on the market. It pretty much has all the necessary capabilities to pull the incremental data from the source system, technically speaking."
"The solution can connect to different systems i.e. mainframe, IMS or AS/400 Legacy Systems."
"Provides a significant amount of control over the landscape and overall implementation."
"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."
"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"
"The solution needs better integration with other tools."
"I would like the stability to improve."
"Apache Spark has a machine learning algorithm, an area where Informatica PowerExchange lacks."
"They should make it quick and easy for use of citizen data integration or for people or integrators developing at the customer side. They could be development teams within the business team. For them, the product owners can consider making it a little bit more seamless and a little bit more democratized."
"The solution could be made more user-friendly. The configurations are also quite difficult."
"The connectivity with T24 core banking could be improved."
"The product is not suitable for application integration."
"The major shortcoming of PowerExchange is high availability and failover. None of the versions we've used to date have had the out-of-the-box ability to enable failover and high-availability requirements. This is a significant challenge and risk."
"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."
"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."
Informatica PowerExchange is ranked 21st in Data Integration with 19 reviews while SAP Data Hub is ranked 25th in Data Governance with 3 reviews. Informatica PowerExchange is rated 7.8, while SAP Data Hub is rated 7.6. The top reviewer of Informatica PowerExchange writes "Handles big data better than competitors". On the other hand, the top reviewer of SAP Data Hub writes "The solution is seamless, but the database sometimes leads to confusion". Informatica PowerExchange is most compared with Informatica PowerCenter, Oracle GoldenGate, Azure Data Factory, SSIS and Qlik Replicate, whereas SAP Data Hub is most compared with Microsoft Purview, SAP Data Services, Alation Data Catalog, Azure Data Factory and Palantir Foundry.
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