We performed a comparison between Informatica PowerCenter, Oracle Data Integrator (ODI), and Pentaho Data Integration and Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."If the systems get migrated or upgraded, the amount of resources required are very minimal. We can change the connections and establish a new connection. It's very helpful."
"Easy, scalable, robust platform to integrate heterogeneous source platform's data into the unified data warehouse."
"It provides monitoring and we can therefore be aware of what is happening when we are handling jobs."
"PowerCenter performs well during data transformation and optimization."
"The setup is straightforward."
"Technical support, and their approach is good. They have a support portal and support tickets. If you open a ticket it has multiple levels of severity from level one to very high or critical."
"The features I find most valuable is that the solution is very user-friendly and the graphical design is very easy to understand."
"Among all the solutions I have used, I found Informatica PowerCenter to be much more stable in terms of application."
"It's scalable."
"Easy to understand, very developer-friendly, and has a big forum community and lots of documentation for support."
"It has the ability to easily load slowly changing dimensions."
"The most valuable features of ODI are the knowledge modules, such as the Loading Knowledge module and the Check Knowledge module, they are helpful. We can check for the constraints in ODI. That helps in figuring out what are the constraints that are the primary keys created in the tables. We can check them with the Check Knowledge module."
"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."
"Besides loading data, we do most of our transformations in ODI."
"Oracle provides great documentation."
"It is an ETL tool, which does the extract, transform, and load."
"One of the most valuable features is the ability to create many API integrations. I'm always working with advertising agents and using Facebook and Instagram to do campaigns. We use Pentaho to get the results from these campaigns and to create dashboards to analyze the results."
"Provides a good open source option."
"Its drag-and-drop interface lets me and my team implement all the solutions that we need in our company very quickly. It's a very good tool for that."
"Sometimes, it took a whole team about two weeks to get all the data to prepare and present it. After the optimization of the data, it took about one to two hours to do the whole process. Therefore, it has helped a lot when you talk about money, because it doesn't take a whole team to do it, just one person to do one project at a time and run it when you want to run it. So, it has helped a lot on that side."
"Lumada has allowed us to interact with our employees more effectively and compensate them properly. One of the cool things is that we use it to generate commissions for our salespeople and bonuses for our warehouse people. It allows us to get information out to them in a timely fashion. We can also see where they're at and how they're doing."
"It has improved our data integration capabilities."
"The area where Lumada has helped us is in the commercial area. There are many extractions to compose reports about our sales team performance and production steps. Since we are using Lumada to gather data from each industry in each country. We can get data from Argentina, Chile, Brazil, and Colombia at the same time. We can then concentrate and consolidate it in only one place, like our data warehouse. This improves our production performance and need for information about the industry, production data, and commercial data."
"It's my understanding that the product can scale."
"Unstructured data handling is an important area with a shortcoming that needs improvement in the solution."
"Its licensing can be improved. It should be features-wise and not bundle-wise. A bundle will definitely be costly. In addition, we might use one or two features. That's why the pricing model should be based on the features. The model should be flexible enough based on the features. Their support should also be more responsive to premium customers."
"Requires an established data center because there is no option for software as a service."
"I would like to see an improvement in the digital adoption."
"I would like to see improvements made to the custom transformations. It should be more open for users that want to write their own code and use cases."
"Integrating new tools can be tricky and challenging."
"It would be better if I could do all the work within a single window. If I'm working on any mapping and if I have to switch to sessions, I have to open a new window altogether. If I have to get into workflows, I have to open a new window. It was also very expensive. In the next release, I would like it to be more user-friendly."
"Areas for improvement in Informatica PowerCenter include scalability and high availability or the clustering configuration because that's still very basic. The elasticity or scaling of the platform needs a lot of improvement. For example, when it comes to DR handling or building an active-active or active-passive cluster, Informatica PowerCenter is still not that powerful. Automation also needs improvement in the solution. Improving automation leads to some improvement in the stability of Informatica PowerCenter and other aspects related to it. What I'd like to see in the next release of Informatica PowerCenter is real-time capability because the solution is mainly for patches, and to have real-time integration, you need to count on some additional components from Informatica. I would expect more integration and a complete platform in terms of real-time capability or patching with minimal interventions or minimal components to be aligned together."
"At present, when multiple steps are executed in parallel in the load plan and errors occur, the error handling mechanism does not function correctly."
"It needs easier security."
"It would be really good if Oracle considered enabling the tool to integrate with some other platforms that are deprecated simply for commercial reasons"
"Overall the product is fine, but sometimes its reports unknown errors while we compile ETL scripts."
"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."
"ODI could improve by being more user-friendly. Informatica, which is also an ETL tool, similar to ODI, but Informatica is very user-friendly, easy to use, and simple to integrate, compared to ODI. ODI has many features, put them all together, and sometimes we get confused about which ones to use, which ones not to use."
"If there was an add-on tool to hide the performance issues and solve them for me, then I might be interested in that as it would provide me value."
"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."
"Since Hitachi took over, I don't feel that the documentation is as good within the solution. It used to have very good help built right in."
"The reporting definitely needs improvement. There are a lot of general, basic features that it doesn't have. A simple feature you would expect a reporting tool to have is the ability to search the repository for a report. It doesn't even have that capability. That's been a feature that we've been asking for since the beginning and it hasn't been implemented yet."
"There is not a data quality or MDM solution in the Pentaho DI suite."
"The product needs more plugins."
"Lumada could have more native connectors with other vendors, such as Google BigQuery, Microsoft OneDrive, Jira systems, and Facebook or Instagram. We would like to gather data from modern platforms using Lumada, which is a better approach. As a comparison, if you open Power BI to retrieve data, then you can get data from many vendors with cloud-native connectors, such as Azure, AWS, Google BigQuery, and Athena Redshift. Lumada should have more native connectors to help us and facilitate our job in gathering information from these new modern infrastructures and tools."
"It could be better integrated with programming languages, like Python and R. Right now, if I want to run a Python code on one of my ETLs, it is a bit difficult to do. It would be great if we have some modules where we could code directly in a Python language. We don't really have a way to run Python code natively."
"In terms of the flexibility to deploy in any environment, such as on-premise or in the cloud, we can do the cloud deployment only through virtual machines. We might also be able to work on different environments through Docker or Kubernetes, but we don't have an Azure app or an AWS app for easy deployment to the cloud. We can only do it through virtual machines, which is a problem, but we can manage it. We also work with Databricks because it works with Spark. We can work with clustered servers, and we can easily do the deployment in the cloud. With a right-click, we can deploy Databricks through the app on AWS or Azure cloud."
"Its basic functionality doesn't need a whole lot of change. There could be some improvement in the consistency of the behavior of different transformation steps. The software did start as open-source and a lot of the fundamental, everyday transformation steps that you use when building ETL jobs were developed by different people. It is not a seamless paradigm. A table input step has a different way of thinking than a data merge step."
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