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- Apache NiFi-vs-Oracle Data Integrator
Compare Apache NiFi and Oracle Data Integrator 
- Users report that Apache NiFi excels in its ease of setup, scoring a remarkable 9.0, which reviewers mention allows for quick deployment and integration into existing systems, making it a preferred choice for teams looking to get started rapidly.
- Reviewers mention that Oracle Data Integrator, while having a solid overall score, struggles with ease of setup, scoring only 6.2. Users on G2 express that the initial configuration can be complex and time-consuming, which may delay project timelines.
- G2 users highlight Apache NiFi's strong extraction capabilities, scoring 9.5, with reviewers saying that its ability to connect to various data sources seamlessly is a significant advantage for organizations dealing with diverse data environments.
- Users say that Oracle Data Integrator shines in its transformation capabilities, achieving a score of 9.3. Reviewers mention that its advanced data transformation features, such as mapping and data quality checks, are particularly beneficial for complex data workflows.
- Reviewers mention that Apache NiFi's automation features, scoring 9.3, are highly praised for their flexibility and ease of use, allowing users to automate data flows efficiently, which is a critical requirement for many data-driven organizations.
- Users on G2 report that while Oracle Data Integrator has a solid quality of support, scoring 8.2, they feel that Apache NiFi's community support and documentation are more accessible, leading to quicker resolutions for common issues, as noted by several reviewers.
It's open-source and community-supported, you can build anything you want, from simple file ingestion to Kafka, S3, etc... The ability to create Process groups and isolate your workloads. The number of prebuilt processors. The flow-based programming comes...
Tracking lineage at a row level is important in data lake ingestion implementation. Can Lineage be controlled at per-row level? Batch transformation performance. Need to Benchmark. May require Kafka
Easy to use. Works with the cloud services. I like the data integration. I like that it can be monitored from a single solution along with other Oracle technologies and applications.
The development experience on odi is very complex in comparison to modern technologies like Informatica Cloud or powercenter as well. There too much of code complexity as well when developing even a simple project with odi. Also the setup process and...
It's open-source and community-supported, you can build anything you want, from simple file ingestion to Kafka, S3, etc... The ability to create Process groups and isolate your workloads. The number of prebuilt processors. The flow-based programming comes...
Easy to use. Works with the cloud services. I like the data integration. I like that it can be monitored from a single solution along with other Oracle technologies and applications.
Tracking lineage at a row level is important in data lake ingestion implementation. Can Lineage be controlled at per-row level? Batch transformation performance. Need to Benchmark. May require Kafka
The development experience on odi is very complex in comparison to modern technologies like Informatica Cloud or powercenter as well. There too much of code complexity as well when developing even a simple project with odi. Also the setup process and...
