Oracle Data Integrator and Azure Data Factory compete in the data integration solutions category. Azure Data Factory often holds an advantage due to its wide-ranging cloud capabilities and seamless integration within the Microsoft ecosystem, despite higher pricing.
Features: Oracle Data Integrator is strong in on-premise complex transformations, comprehensive data mapping, and batch processing. Azure Data Factory stands out for its scalability in cloud-driven operations, extensive data orchestration, and tight integration with other Microsoft services.
Room for Improvement: Oracle Data Integrator requires more intuitive configuration, simplified user interfaces, and better integration with cloud services. Azure Data Factory needs improvements in data transformations, debugging tools, and customer support consistency.
Ease of Deployment and Customer Service: Oracle Data Integrator experiences challenges with intricate setup, which can be cumbersome for new users, but offers responsive customer service. Azure Data Factory benefits from a smoother deployment process as part of Azure's cloud infrastructure, although customer support responsiveness is inconsistent.
Pricing and ROI: Oracle Data Integrator entails significant upfront costs yet provides strong ROI over time through robust on-premise transformations. Azure Data Factory is more expensive but offers a flexible pay-as-you-go model that appeals to businesses in need of scalable cloud solutions, often accelerating time-to-value in cloud integrations.
Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.
Oracle Data Integrator (ODI) is a data integration software solution that provides a unified infrastructure to streamline data and application integration projects. It uses a powerful design approach to data integration, which separates the declarative rules from the implementation details. The solution is based on a unique ELT (Extract Load Transform) architecture, eliminating the need for a standalone ETL server and proprietary engine.
Oracle Data Integrator Features
ODI has many valuable key features. Some of the most useful ones include:
Oracle Data Integrator Benefits
There are many benefits to implementing ODI. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Data Integrator (ODI) solution.
Brian D., Business Process and Strategy Specialist Advisor at NTTData, says, “The Knowledge Module (KM) is my favorite feature of ODI. This is where I learned how to use variables to make jobs dynamic. I took that knowledge and created a KM that would go into iTunes and pull the sales of eBooks. Making something that is reusable, like a KM, is important to not only reduce build time but also maintenance in the future.”
Ashok S., Applications Support Manager at a marketing services firm, mentions, "The most valuable features of ODI are the ease of development, you can have a template, and you can onboard transfer very quickly. There's a lot of knowledge modules available that we can use. If you want to connect, for example, a Sibyl, SQL, Oracle, or different products, we don't have to develop them from scratch. They are available, but if it's not, we can go into the marketplace and see if there's a connector there. Having the connector available reduces the amount of hard work needed. We only have to put the inputs and outputs. In some of the products, we use there is already integration available for ODI, which is helpful."
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