OCI Data Integration
Definition
Oracle Cloud's fully managed ETL service for building data pipelines that extract, transform, and load data across Oracle and third-party systems.
Use Cases
- Oracle: Load and transform operational data into an analytics warehouse for reporting and dashboards — Teams build visual data flows to extract data from Oracle databases and SaaS sources, apply joins and transformations, and load curated datasets into Oracle Autonomous Data Warehouse. Pipelines are scheduled and monitored as managed jobs, with connections and credentials managed through OCI. (Faster delivery of repeatable data pipelines, reduced operational overhead compared to self-managed ETL tooling, and more consistent datasets for analytics consumers.)
- Accenture: Enterprise data integration for clients modernizing to Oracle Cloud — Delivery teams use OCI Data Integration to orchestrate ingestion from on-premises and cloud sources into OCI landing zones and Autonomous Data Warehouse, applying standard transformation patterns and scheduling recurring loads as part of migration and modernization programs. (Accelerated migration timelines and standardized pipeline operations across projects by using a managed, Oracle-integrated ETL service.)
Provider Equivalents
- AWS: AWS Glue
- Azure: Azure Data Factory
- GCP: Cloud Data Fusion
- OCI: OCI Data Integration
Frequently Asked Questions
- What's the difference between OCI Data Integration and OCI GoldenGate?
- OCI Data Integration is designed for batch ETL/ELT pipelines (move and transform data on a schedule or on demand). OCI GoldenGate focuses on real-time or near-real-time replication and change data capture (CDC), keeping target systems continuously updated from source database changes. Use Data Integration for scheduled transformations and curated datasets; use GoldenGate when you need low-latency replication and streaming changes.
- When should I use OCI Data Integration?
- Use it when you need a managed, visual way to build and run data pipelines that extract from databases or applications, transform data with common ETL patterns, and load into targets like Autonomous Data Warehouse or other supported systems. It’s a good fit for recurring batch loads (hourly/daily), data warehouse/BI preparation, and standardizing ingestion and transformation across teams without maintaining ETL servers.
- How much does OCI Data Integration cost?
- Pricing is usage-based and depends on factors such as the amount of data processed, the number and type of pipeline runs, and any associated OCI resources used by your pipelines (for example, networking, storage, or target databases). Costs can increase with higher run frequency, larger datasets, and more complex transformations. For exact rates and current pricing dimensions, refer to the OCI Data Integration pricing page for your region.
Category: data
Difficulty: intermediate
Related Terms
See Also