We performed a comparison between Oracle Data Integrator (ODI) and SAS Data Management based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The installation of the client ODI Studio is easy."
"It is an ETL tool, which does the extract, transform, and load."
"The most valuable feature of ODI is the to use of the whole ETL to create a data lake."
"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 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."
"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."
"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 tool is reliable, quick, and powerful."
"I am impressed with the tool's ability to customize."
"The technical support is excellent."
"The product offers very good flexibility."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"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."
"If you compare it to SQL, the memory and development times are very quick."
"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."
"I would only point out some minor bugs or glitches in the development interface (ODI studio)."
"ODI could improve the ease of use. There is a steep learning curve to use the solution."
"ODI could improve by focusing on streamlining its features without unnecessary overhead."
"The initial setup is a bit complex compared to other tools."
"The stability of the software could be improved. Sometimes, the software just crashes. "
"Reverse engineering is complicated and challenging to manage."
"It needs easier security."
"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."
"I would like the tool to include the ability to automate the modifications of the integrations."
"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."
"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 pricing of the solution needs to be improved. They need to work to make it more affordable."
"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 is quite expensive and hard to install/configure."
Oracle Data Integrator (ODI) is ranked 4th in Data Integration with 68 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, Informatica PowerCenter, SSIS, Azure Data Factory and Oracle GoldenGate, whereas SAS Data Management is most compared with Informatica PowerCenter, Tungsten RPA, Microsoft Purview Data Governance, SSIS and Ab Initio Co>Operating System. See our Oracle Data Integrator (ODI) vs. SAS Data Management report.
See our list of best Data Integration vendors.
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.