Ping Identity Platform vs SAP Data Hub comparison

"It is a stable solution. Stability-wise, I rate the solution a ten out of ten."

"It offers robust features and customization options that justify the cost."

"I would recommend PingFederate as an IAM solution for its no-code environment, single sign-on, multi-factor authentication, bidirectional services, and advanced features."

"I like PingFederate."

"It is a scalable solution."

"The solution is stable. We haven't experienced any bugs or glitches."

"It gets a mobility portal in place in conjunction with Office 365. It provides very good possibilities and it's much better than other technology that we have used before which was unstable and slower."

"The soundness of the solution is its most valuable feature. For example, if you are in our corporate network, you can log on without any traffic interfering."

"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."

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

"Currently, the main integration is SAML-based, but other integration methodologies need to be supported."

"In the beginning, the initial setup was very complex."

"If the solution is going to compete with Microsoft, they need to offer more unique functionality to keep their current user base."

"They could use some bio-certification. It's just more user-friendly and more convenient than entering the one time passes. That would be an improvement."

"We can choose a drop-down to search for which certificate we have to create, which is difficult."

"From the improvement perspective, they could bring IGA capability, which right now they only have in their SaaS offering."

"PingID should put a little more effort into making a pretty self-explanatory deck about their tech features and the services they offer."

"PingID's device management portal should be more easily accessible via a link. They provide no link to the portal like they do for the service. The passwordless functionality could be more comprehensive. You can't filter based on hardware devices. Having that filtering option would be great. Device authentication would be a great feature."

"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."

"The pricing is neither too expensive nor too cheap."

"The platform's value justifies the pricing, especially considering its security features and scalability."

"The product is costly."

"PingID's pricing is pretty competitive."

"Ping Identity Platform is not an expensive solution."

"Ping offers flexible pricing that's not standardized."

"Ping Identity Platform is not very expensive."

"Compared to some SaaS-based solutions, the platform is relatively cost-effective."

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