We performed a comparison between Azure Data Factory and Oracle Integration Cloud Service 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."When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."
"Powerful but easy-to-use and intuitive."
"It is beneficial that the solution is written with Spark as the back end."
"We use the solution to move data from on-premises to the cloud."
"In terms of my personal experience, it works fine."
"The most valuable aspect is the copy capability."
"I particularly like the drag-and-drop feature for designing integrations and processes."
"The most valuable feature is the ease of customization."
"The out-of-box integration between Oracle and SAP is really beneficial"
"The most valuable feature of Oracle Integration Cloud Service is its ease of use. We do not depend on any tool to develop it. Everything is on the browser and is easy to integrate, even for someone who does not understand a lot about coding."
"The most valuable features of Oracle Integration Cloud Service are the seeded integrations with many communication platforms, such as Slack and emails. It works best for the historical communication methods. Those are still prevalent with all the other clients. When we are doing the integrations, it makes it a little bit easier for us to communicate the same output over Slack, rather than sending out an email and downloading the report. The number of seeded functionalities within the Oracle Integration Cloud Service platform is better."
"The Oracle integration tool is the most comfortable tool for using those Oracle products."
"Oracle Integration Cloud Service is a really good product and the ROI is very good with it. It lowers development time. A development cycle that may have taken a year without Oracle Integration Cloud Service can drop down to three or four months with it."
"The solution is scalable."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"Lacks in-built streaming data processing."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"There is no built-in pipeline exit activity when encountering an error."
"There are a few features that we noticed are not in the cloud. There are some improvements needed. One example is the graphical user interface that needs to improve, it could be easier to use."
"Oracle Integration Cloud Service can improve the downloading and uploading of files. I've submitted this issue to the Oracle Idea Labs. The issue is from the front end of Oracle Integration Cloud, we cannot download or upload a file directly or drag and drop it."
"While most of the adapters are available through Oracle Integration Cloud Services, they do not have a lot of features. I would like to see some enrichment in this area and for the solution to go deeper into the applications and upgrade the adapters."
"The solution doesn't currently have a fully fledged workflow feature like they have in OIM."
"Configurable timeouts on each connection would be good."
"Make it more similar to the on-premises features. For example, if you can edit the code directly rather than just dragging and dropping, or if you can edit the examples by going into the background, and one-click migration, I'd like to see included in the next release."
"We would love to have more and more ready-to-use interfaces from Oracle."
"If an inbound file is larger than one GB, it cannot be transformed within Oracle."
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Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Oracle Integration Cloud Service is ranked 3rd in Integration Platform as a Service (iPaaS) with 32 reviews. Azure Data Factory is rated 8.0, while Oracle Integration Cloud Service is rated 8.0. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of Oracle Integration Cloud Service writes "An integration tool that is highly compatible and easy to maintain". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Oracle Integration Cloud Service is most compared with Oracle Data Integrator (ODI), AWS Glue, Mule Anypoint Platform, Oracle GoldenGate and Microsoft Azure Logic Apps. See our Azure Data Factory vs. Oracle Integration Cloud Service report.
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