We performed a comparison between Oracle Data Integrator (ODI) and Spring Cloud Data Flow 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 scalability is great. It's one of the reasons we chose the solution."
"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'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 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."
"I like that Oracle Data Integrator (ODI) has a straightforward setup and offers good technical support."
"It can integrate with more recent databases like Cassandra, Hadoop, and other more recent Big Data databases."
"ODI's best features are customization, integration with other versioning tools, and the ability to define new knowledge modules."
"All our systems can be widely integrated by ODI, such as transactional systems, our data warehouses, and B2B integration."
"There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."
"The most valuable feature is real-time streaming."
"The product is very user-friendly."
"The most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like."
"The performance of the user interface is in need of improvement."
"ODI could improve the ease of use. There is a steep learning curve to use the solution."
"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."
"The initial setup is a bit complex compared to other tools."
"Technical Support could be better."
"An area for improvement would be the lack of SQL compatibility - ODI has no ability to interact with SQL unstructured types and data types."
"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."
"At present, when multiple steps are executed in parallel in the load plan and errors occur, the error handling mechanism does not function correctly."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
Oracle Data Integrator (ODI) is ranked 4th in Data Integration with 67 reviews while Spring Cloud Data Flow is ranked 28th in Data Integration with 5 reviews. Oracle Data Integrator (ODI) is rated 8.2, while Spring Cloud Data Flow is rated 8.0. 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 Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". Oracle Data Integrator (ODI) is most compared with Oracle Integration Cloud Service, Informatica PowerCenter, SSIS, Azure Data Factory and Oracle GoldenGate, whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and WSO2 Enterprise Integrator. See our Oracle Data Integrator (ODI) vs. Spring Cloud Data Flow report.
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