We performed a comparison between Oracle Data Integrator (ODI) and SAS Data Management 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."
"Most of the functions are very straightforward, like the data model, mapping, package, and load plan. Thus, a new user could get started very fast."
"What I found most valuable in Oracle Data Integrator (ODI) is that it integrates well with almost all technologies currently being used in my company."
"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."
"The most valuable feature is Data movement."
"In our DW/BI solution, ODI is the main tool to integrate the data in a daily batch way."
"All ETL code is stored in repositories in underlying database schemas. The number of users can access and work on the same solution using a client tool. So distributed teams can work on this tool in an efficient manner."
"It's scalable."
"If you compare it to SQL, the memory and development times are very quick."
"The product offers very good flexibility."
"The technical support is excellent."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"The tool is reliable, quick, and powerful."
"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."
"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."
"This is an established product with powerful data analysis and varied options for user entry points."
"Oracle Data Integrator (ODI) is already good as a solution. Still, it needs some editing of its preview package, or if the package is upgraded, that will make Oracle Data Integrator (ODI) even better."
"The interface of ODI could be improved. For example, navigating and finding functions can be difficult. For example, you have to know which step you need to go to look at where your job status is. The logical step is a bit complex compared to other tools. It's much easier to get a graphical view, but with ODI, it's graphical, plus you have to know all the other pieces that fit around it. You have to think about the logical and physical aspects."
"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."
"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."
"An area for improvement would be the lack of SQL compatibility - ODI has no ability to interact with SQL unstructured types and data types."
"There are certain things where it can be improved. Initial solution setup seems a bit complex at the start, it should be improved because it becomes bit tough for a novice to get started on this. Sometimes error description is not helpful to understand the problem it gives some generic type of errors which are at times not that helpful to understand the underlying root cause of the issue."
"I would like the tool to include the ability to automate the modifications of the integrations."
"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."
"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."
"The solution is quite expensive and hard to install/configure."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."
"The solution could use better documentation."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
Oracle Data Integrator (ODI) is ranked 4th in Data Integration with 65 reviews while SAS Data Management is ranked 40th in Data Integration with 15 reviews. Oracle Data Integrator (ODI) is rated 8.2, while SAS Data Management is rated 8.4. 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 SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". Oracle Data Integrator (ODI) is most compared with Oracle Integration Cloud Service, SSIS, Informatica PowerCenter, Azure Data Factory and Oracle GoldenGate, whereas SAS Data Management is most compared with Informatica PowerCenter, Microsoft Purview, Tungsten RPA, IBM InfoSphere DataStage and Informatica Enterprise Data Catalog.
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