We performed a comparison between Oracle Data Integrator (ODI) 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."The Knowledge Module approach provides an easy and reusable way to create our own integration strategies. It's easy to create these Knowledge Modules to connect to new technologies, for instance."
"I do not have to maintain a separate ETL instance. I can change the SQL when something is not performing correctly."
"Integration with all systems is easy with Oracle Data Integrator, and it is easy to use. I have not used any other product, but with Oracle Data Integrator, we can easily connect to an ERP system, an SAP system, or a cloud application."
"The most valuable features of ODI are the ease of development, you can have a template, and you can onboard transfer very quickly. There's a lot of knowledge modules available that we can use. If you want to connect, for example, a Sibyl, SQL, Oracle, or different products, we don't have to develop them from scratch. They are available, but if it's not, we can go into the marketplace and see if there's a connector there. Having the connector available reduces the amount of hard work needed. We only have to put the inputs and outputs. In some of the products, we use there is already integration available for ODI, which is helpful."
"All our systems can be widely integrated by ODI, such as transactional systems, our data warehouses, and B2B integration."
"One of the standout features of ODI is its ability to prepare everything on a vertical level and create reusable components, which adds to its value."
"The scalability is great. It's one of the reasons we chose the solution."
"It can integrate with more recent databases like Cassandra, Hadoop, and other more recent Big Data databases."
"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"
"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 initial setup is complex, especially if you also have to install a console."
"At present, when multiple steps are executed in parallel in the load plan and errors occur, the error handling mechanism does not function correctly."
"In our company, we haven't tried consuming services from IoT in our company yet, and I would like to know if the solution will support IoT services in the next release."
"If you have something like Cisco on top of it, you will have endless problems."
"The resource management aspect of the solution could be improved."
"ODI could improve the ease of use. There is a steep learning curve to use the solution."
"The initial setup is a bit complex compared to other tools."
"I rate it a seven out of 10 because there is room for growth because ODI is still new, in comparison to Informatica, which is a mature product."
"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."
Oracle Data Integrator (ODI) is ranked 4th in Data Integration with 67 reviews while SAP Data Hub is ranked 26th in Data Governance with 3 reviews. Oracle Data Integrator (ODI) is rated 8.2, while SAP Data Hub is rated 7.6. The top reviewer of Oracle Data Integrator (ODI) writes "Straightforward to implement, scalable, and has good stability and documentation, but technical support could still be improved". On the other hand, the top reviewer of SAP Data Hub writes "The solution is seamless, but the database sometimes leads to confusion". Oracle Data Integrator (ODI) is most compared with Oracle Integration Cloud Service, Informatica PowerCenter, SSIS, Azure Data Factory and Oracle GoldenGate, whereas SAP Data Hub is most compared with Microsoft Purview Data Governance, SAP Data Services, Alation Data Catalog, Collibra Governance and SAP PowerDesigner.
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
