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."What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."
"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."
"Powerful but easy-to-use and intuitive."
"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"I can do everything I want with SSIS and Azure Data Factory."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"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."
"Oracle Integration Cloud Service offers a lot of adaptors."
"OIC offers a number of pre-built technology and SaaS adapters for high productivity for a wide range of target systems, both in-house via agents and cloud/SaaS, via a very flexible range of interfaces."
"It's easy to build an integration and make changes to it."
"OIC's accuracy is quite good."
"The most valuable features of this solution are the SFTP adapters, file adapters, and risk adapters, that we use in everyday projects."
"The most valuable feature of Oracle Integration Cloud Service is its performance."
"The solution is scalable."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"Some known bugs and issues with Azure Data Factory could be rectified."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"I have not found any real shortcomings within the product."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"It would be helpful if there were more tutorials or documentation to learn about Oracle Integration Cloud Service."
"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."
"They need to make tools framework available for implementation partners"
"Lacks features for more complex integrations."
"It has lengthy documentation, making the process of building applications more time-consuming."
"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."
"There is a payload size limit and we're unable to integrate some legacy applications."
"If an inbound file is larger than one GB, it cannot be transformed within Oracle."
More Oracle Integration Cloud Service Pricing and Cost Advice →
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 Microsoft Azure Synapse Analytics, whereas Oracle Integration Cloud Service is most compared with Oracle Data Integrator (ODI), Mule Anypoint Platform, AWS Glue, Oracle GoldenGate and Microsoft Azure Logic Apps. See our Azure Data Factory vs. Oracle Integration Cloud Service report.
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