Rodrigo Radtke De SouzaSolutions Architect at a tech consulting company
Pritam VidulkarSenior Associate at Cognizant Technology pvt. Ltd.
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"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."
"The scalability is great. It's one of the reasons we chose the solution."
"This is an established product with powerful data analysis and varied options for user entry points."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"If you compare it to SQL, the memory and development times are very quick."
"The technical support is excellent."
"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."
"The product offers very good flexibility."
"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."
"The resource management aspect of the solution could be improved."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"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."
"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."
"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."
"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."
Oracle Data Integrator is a comprehensive data integration platform that covers all data integration requirements: from high-volume, high-performance batch loads, to event-driven, trickle-feed integration processes, to SOA-enabled data services. Oracle Data Integrator (ODI) 12c, the latest version of Oracle’s strategic Data Integration offering, provides superior developer productivity and improved user experience with a redesigned flow-based declarative user interface and deeper integration with Oracle GoldenGate.
ODI12c further builds on its flexible and high-performance architecture with comprehensive big data support and added parallelism when executing data integration processes. It includes interoperability with Oracle Warehouse Builder (OWB) for a quick and simple migration for OWB customers to ODI12c. Additionally, ODI can be monitored from a single solution along with other Oracle technologies and applications through the integration with Oracle Enterprise Manager 12c.
Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.
Oracle Data Integrator (ODI) is ranked 6th in Data Integration Tools with 5 reviews while SAS Data Management is ranked 10th in Data Integration Tools with 6 reviews. Oracle Data Integrator (ODI) is rated 8.8, while SAS Data Management is rated 8.6. The top reviewer of Oracle Data Integrator (ODI) writes "I have used it to improve run-times of many corporations' overall integration run-times". On the other hand, the top reviewer of SAS Data Management writes "One-stop-shop solution for sorting, categorizing and summarizing your data". Oracle Data Integrator (ODI) is most compared with Oracle Integration Cloud Service, Informatica PowerCenter, SSIS, Oracle GoldenGate and IBM InfoSphere DataStage, whereas SAS Data Management is most compared with Informatica PowerCenter, Informatica Axon, Palantir Gotham, Collibra Governance and Informatica Data Quality. See our Oracle Data Integrator (ODI) vs. SAS Data Management report.
We monitor all Data Integration Tools 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.