What is the best suitable replacement for ODI on Azure?
Hi community,
I am a Senior VP at a large tech services company.
I am considering replacing Oracle Data Integrator with Azure Data Factory. Which product do you prefer, and why? What are the pros and cons of each product?
Some people prefer Azure Data Factory over Oracle Data Integrator (ODI) for the following reasons:
Azure Data Factory is a cloud-native Data Integration service. It is designed to run in the cloud, offering several advantages, including scalability, reliability, and ease of management.
Azure Data Factory is part of Azure's broad ecosystem so that it can easily integrate with other Azure services, such as Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage. This then makes building end-to-end data pipelines easier.
Ease of use is another reason some users prefer Azure Data Factory. The solution has a user-friendly interface and many features that make building and managing data pipelines easier.
They say Azure Data Factory is a cost-effective Data Integration solution.
Pros and cons of Azure Data Factory
Pros:
Cloud-native
Broad ecosystem
Ease of use
Affordability
Cons:
Can be complex to set up and manage for large and complex Data Integration environments
May not have all of the features of ODI
Pros and cons of Oracle Data Integrator (ODI)
Pros:
Mature and well-established product
Comprehensive feature set
Good support for on-premises deployments
Cons:
Not cloud-native
Can be complex to set up and manage
Can be expensive, as reported by others
For a large tech services company, some recommend Azure Data Factory, mainly because it is cloud-native and highly scalable. Azure Data Factory also integrates well with other Azure services, which makes it easier to build end-to-end data pipelines.
We performed a comparison between Azure Data Factory and Oracle Data Integrator ODI based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Ease of Deployment: Users of both solutions feel installation and deployment is simple and straightforward.
Features: Users of both products are happy with their stability and scalability.Users of Azure Data Factory like the solution’s interface, pipeline orchestration, built-in...
Some people prefer Azure Data Factory over Oracle Data Integrator (ODI) for the following reasons:
Pros and cons of Azure Data Factory
Pros:
Cons:
Pros and cons of Oracle Data Integrator (ODI)
Pros:
Cons:
For a large tech services company, some recommend Azure Data Factory, mainly because it is cloud-native and highly scalable. Azure Data Factory also integrates well with other Azure services, which makes it easier to build end-to-end data pipelines.