- Home
- ...
- Big Data Integration Platforms
- Apache NiFi
- Oracle Data Integrator
- 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 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 shines in its reporting capabilities, achieving a high score of 9.3, which users say provides comprehensive insights and analytics that are crucial for enterprise-level data management.
- G2 users highlight Apache NiFi's strong performance in data extraction, with a score of 9.5, noting that its intuitive interface and powerful processors make it easy to pull data from various sources efficiently.
- Users on G2 report that Oracle Data Integrator's transformation capabilities are robust, scoring 9.3, with reviewers mentioning its advanced data transformation features that cater well to complex data workflows.
- Reviewers say that while both products have solid automation features, Apache NiFi's automation capabilities, scoring 9.3, are particularly praised for their flexibility and ease of use, allowing users to create automated data flows with minimal effort.
- Users report that Oracle Data Integrator has a slight edge in quality of support, with a score of 8.2, as reviewers mention that the support team is responsive and knowledgeable, which is vital for enterprises relying on timely assistance.
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
It is ability to create native code for the underlying data management technology. Flexibility of adding new technology stack by writing custom knowledge modules.
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...
It is ability to create native code for the underlying data management technology. Flexibility of adding new technology stack by writing custom knowledge modules.
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...
