We performed a comparison between Informatica PowerCenter, 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."Complex transformations can be easily achieved by using PowerCenter. The processing layer does transformations and other things. About 80% of my transformations can be achieved by using the middle layer. For the remaining 15% to 20% transformations, I can go in and create stored procedures in the respective databases. Mapplets is the feature through which we can reuse transformations across pipelines. Transformations and caching are the key features that we have been using frequently. Informatica PowerCenter is one of the best solutions or products in the data integration space. We have extensively used PowerCenter for integration purposes. We usually look at the best bridge solution in our architecture so that it can sustain for maybe a couple of years. Usually, we go with the solution that fits best and has proven and time-tested technology."
"The solution is stable."
"The most valuable feature of Informatica PowerCenter is the flow designer functionally. It is the best out of any ETL tool. Additionally, the solution is reliable and trustable in dealing with large data sources anytime. When we're using billions of data transactions, it's smooth."
"The features I find most valuable is that the solution is very user-friendly and the graphical design is very easy to understand."
"It reduces a lot of legacy coding."
"It's very easy to use it to develop mappings and workflows."
"The most valuable features are the metadata repository and the data warehouse application console."
"Ease and speed of building integrations, especially integrations between different applications, such as our Hospital Information System."
"ODI's best features are customization, integration with other versioning tools, and the ability to define new knowledge modules."
"The most valuable feature that we use is the Knowledge Modules."
"I like that Oracle Data Integrator (ODI) has a straightforward setup and offers good technical support."
"Easy to understand, very developer-friendly, and has a big forum community and lots of documentation for support."
"The solution's initial setup is straightforward, especially compared to Mule, which our team has worked with before and found to be a bit more complex in terms of setup."
"ODI significantly improves data integration and management by allowing customization of data types from various sources like SQL Server databases."
"I do not have to maintain a separate ETL instance. I can change the SQL when something is not performing correctly."
"ODI's most valuable features are it utilizes the database engine and is very lightweight."
"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"
"I would like to see an improvement in the digital adoption."
"Informatica PowerCenter could improve by having a single interface because half of the system is still in the legacy interface and many other elements are moved to the developer client. It would be good if there was a single interface for the end user and developers."
"While Informatica is great for data-integration, it does not have any analytics features. Thus, organizations have to always look for another product for their BI needs."
"The licensing cost for Informatica is very high. Other all-in-one solutions have much lower prices than Informatica."
"We had stability issues, mostly with JVM size."
"Integrated Reporting service should be more smoothly transitioned from view to function to be in sync with the main design."
"Integrating new tools can be tricky and challenging."
"The UI is outdated and old-fashioned, at least in our current version. Also, we have experienced some stability issues with the Workflow Monitor application."
"The performance of the user interface is in need of improvement."
"The initial setup is a bit complex compared to other tools."
"Technical Support could be better."
"An area for improvement in Oracle Data Integrator (ODI) is real-time integration. Currently, my company has a workaround to implement real-time integration, an area on which Oracle must focus more. Real-time integration should be easier in Oracle Data Integrator (ODI). Another area for improvement in Oracle Data Integrator (ODI) is integration with more publishers and subscribers rather than just database integrations."
"Stability could be improved because some operators have issues."
"The initial setup is complex, especially if you also have to install a console."
"I would only point out some minor bugs or glitches in the development interface (ODI studio)."
"The stability of the software could be improved. Sometimes, the software just crashes. "
"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."
"The company has everything offshore."
