We performed a comparison between Oracle Data Integrator Cloud Service and Spring Cloud Data Flow based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable thing to me is its simplicity. A person with zero knowledge can also develop the integration without having extensive technology knowledgebase. They can also work on creating their own integration."
"Having a single vendor supporting the entire suite of applications."
"It's on the cloud, so it's scalable and quite easy to work with."
"The data is stored in the cloud, making it easy to download data simultaneously into multiple smaller servers, effectively downsizing the process."
"Oracle integration cloud has got the adapters for all their products, which makes integration faster."
"Oracle Data Integrator helps us build tables and data marts and allows us to schedule them daily, for nearly real-time data warehousing."
"The solution is easy to manage and offers good integration. You can run all the tasks one by one which is really helpful, and pick the day and time to do so."
"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 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 product is very user-friendly."
"It can be made much easier for users. They should be allowed to easily monitor the data extraction and flow, allowing them to observe real-time data flow within the software, making the process straightforward."
"The pricing could be more competitive."
"I would like to see different cloud adapters or connectors in case of integration. When you have Oracle to Oracle, they are good. They have really good connectors, but if it is a different ERP, like Obsidian, that is where they are faced with problems in OIC."
"Bulk uploading can be a problem when you hit the upper limit."
"This is an expensive solution compared to other products on the market."
"I've found technical support not very effective. They should work to improve their services."
"It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"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."
More Oracle Data Integrator Cloud Service Pricing and Cost Advice →
Oracle Data Integrator Cloud Service is ranked 20th in Cloud Data Integration with 7 reviews while Spring Cloud Data Flow is ranked 29th in Data Integration with 5 reviews. Oracle Data Integrator Cloud Service is rated 8.0, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Oracle Data Integrator Cloud Service writes "A well-established product that meets all our specifications in terms of usability". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". Oracle Data Integrator Cloud Service is most compared with IBM InfoSphere DataStage, whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks. See our Oracle Data Integrator Cloud Service vs. Spring Cloud Data Flow report.
We monitor all Cloud 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.
