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."Besides loading data, we do most of our transformations in ODI."
"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."
"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."
"In our DW/BI solution, ODI is the main tool to integrate the data in a daily batch way."
"It's scalable."
"The tool improved our data integration workflow primarily due to its compatibility with Oracle. Its integration makes it very convenient for analytics. Its most valuable feature is robust extended capability. The solution's debugging capabilities are good."
"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."
"It allows us to use many languages to develop and to integrate practically all the technologies of the Oracle suite as well as those from non-Oracle vendors."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"I am impressed with the tool's ability to customize."
"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."
"If you compare it to SQL, the memory and development times are very quick."
"The product offers very good flexibility."
"This is an established product with powerful data analysis and varied options for user entry points."
"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."
"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."
"Reverse engineering is complicated and challenging to manage."
"The initial setup is a bit complex compared to other tools."
"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."
"Stability could be improved because some operators have issues."
"Technical Support could be better."
"It has been very good. Just recently, I've faced an issue, but I solved it somehow. While integrating with a file, I faced an issue where I wanted output files, and I had used the text field limited quotations, but at the end of the file, there was a line breakage for the last column. So, we just removed the text field because it was not working correctly for us."
"The price needs to be lowered. It's too expensive."
"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."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"The solution is quite expensive and hard to install/configure."
"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."
"I would like the tool to include the ability to automate the modifications of the integrations."
"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."
"The solution could use better documentation."
"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."
Oracle Data Integrator (ODI) is ranked 4th in Data Integration with 67 reviews while SAS Data Management is ranked 43rd 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, Tungsten RPA, Microsoft Purview, Palantir Foundry and Ab Initio Co>Operating System.
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