Oracle Data Integrator (ODI) loads and transforms data faster into data warehouses by leveraging the power of the target database instead of relying on a conventional ETL server. Pre-built connectors simplify integration by automating manual integration tasks needed to connect databases and big data.
Oracle has continued to deliver enhancements to its data integration tools, which is just one of the reasons why we have been recognized as a Leader for 16 consecutive years.
Explore the principles, use cases, and examples of Oracle customers deploying a data mesh.
Push-down transformation to the database to minimize performance impact on source systems.
Use the power of the database system CPU and memory to execute transformations instead of a separate, conventional ETL transformation server.
Generate Apache Spark code following big data standards to transform and execute data mappings.
Raymond James integrated easily with Oracle GoldenGate to load data and generate client performance reports in seconds, not minutes. This enabled thousands of financial advisors to help clients make better decisions and improve customer satisfaction.
Import and prepare data for analysis in data warehouses with automatic transformation capabilities.
Ingest unstructured and object data into data lakes from many sources
Import and prepare data for use in modeling and big-data analytics with Hadoop, Kafka, JMS, NoSQL databases for ML and AI.
Enjoy native support for big data by leveraging the Spark engine for integrations.
Find more Oracle Data Integrator technical information
Pre-configured Oracle Data Integrator simplifies data load and transformation in Oracle Cloud.
Try the latest Oracle Data Integrator release on various platforms.