We performed a comparison between Azure Data Factory and Oracle Data Integrator 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."The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"The flexibility that Azure Data Factory offers is great."
"The most valuable feature is the copy activity."
"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."
"The solution has a good interface and the integration with GitHub is very useful."
"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"It is beneficial that the solution is written with Spark as the back end."
"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."
"It's on the cloud, so it's scalable and quite easy to work with."
"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."
"Oracle integration cloud has got the adapters for all their products, which makes integration faster."
"Having a single vendor supporting the entire suite of applications."
"Oracle Data Integrator helps us build tables and data marts and allows us to schedule them daily, for nearly real-time data warehousing."
"The data is stored in the cloud, making it easy to download data simultaneously into multiple smaller servers, effectively downsizing the process."
"There is no built-in pipeline exit activity when encountering an error."
"Data Factory's monitorability could be better."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"The deployment should be easier."
"There are limitations when processing more than one GD file."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"The number of standard adaptors could be extended further."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"I've found technical support not very effective. They should work to improve their services."
"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."
"This is an expensive solution compared to other products on the market."
"It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot."
"Bulk uploading can be a problem when you hit the upper limit."
"The pricing could be more competitive."
"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."
More Oracle Data Integrator Cloud Service Pricing and Cost Advice →
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Oracle Data Integrator Cloud Service is ranked 20th in Cloud Data Integration with 7 reviews. Azure Data Factory is rated 8.0, while Oracle Data Integrator 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 Data Integrator Cloud Service writes "A well-established product that meets all our specifications in terms of usability". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Oracle Data Integrator Cloud Service is most compared with IBM InfoSphere DataStage. See our Azure Data Factory vs. Oracle Data Integrator Cloud Service report.
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