Azure Data Factory vs. Oracle Data Integration Platform Cloud (discontinued)

In a data pipeline, you will be able to add different kinds of activities for example connect from your on-premise SFTP and move CSV files to storage accounts. As well data factory has its own data flow if you are an ETL developer who experimented with maybe you have worked with SSIS, thus, you will start quickly with this new feature of the data factory.

Incentivized

I highly recommend the Oracle Data Integration Platform if you are using OBIEE as a reporting tool. ODI offers a large number of solutions. The on-premise product was expensive to implement and maintain. The cloud version is most suitable for small scale to large scale implementations.

Incentivized

• Creating ETL and ELT workflows as well as orchestrating and monitoring pipelines without writing any code.
• Hybrid data integration is easily and agilely possible through this software.
• It has lot of various useful components

Incentivized

• ODI uses ELT architecture, which enhances the load performance and is very scalable.
• ODI is platform independent. It supports all platforms, hardware and operating systems.
• It comes with pre-built integration, allowing immediate data replication, transformation, and data governance while ensuring data quality.

Incentivized

• Learning curve for pipeline creation interface.
• Alerting isn't necessarily built in. Had to work around this to meet team needs.
• With GIT enabled, some features can only be done via git, while some need to be done via the portal.

Incentivized

• Training and ramping up to learn all the Oracle specific intricacies.
• Security concerns with administering some of the tools to end users.

Incentivized

So far product has performed as expected. We were noticing some performance issues, but they were largely Synapse related. This has led to a shift from Synapse to Databricks. Overall this has delayed our analytic platform. Once databricks becomes fully operational, Azure Data Factory will be critical to our environment and future success.

Incentivized

We have not had need to engage with Microsoft much on Azure Data Factory, but they have been responsive and helpful when needed. This being said, we have not had a major emergency or outage requiring their intervention. The score of seven is a representation that they have done well for now, but have not proved out their support for a significant issue

Incentivized

Azure Data Factory fits well into our overall systems architecture where we already utilize largely Azure services and also Microsoft based products in the on-premises environment. I think cost structure is also very competitive with Azure Data Factory. Most services provide a visual interface for designing ETL workflows, but our team found Azure Data Factory's interface more intuitive.

Incentivized

Oracle replace a popular integrated nationally used platform shared throughout multiple states. The system was responsive and stable, capable of growing with the business needs. Replacing it with Oracle Data Integration Platform has been a large improvement, adding the capability for better live monitoring, faster response times, better disaster recovery options, easier third party integration.

Incentivized

• Limiting the amount of data moving up and down from the cloud for cloud-native applications.
• Overall simple to use interface which is actually easier for a first time ETL developer than SSIS.

Incentivized

• Ability to setup reliable disaster recovery.
• Upgrades and performance monitoring tools are readily available.

Incentivized