Introducing 
Express — Go from prompt to pipeline in minutes.
Now available in the Oracle Cloud Marketplace, Nexla is the preferred way to connect to and from Oracle DB and Autonomous Data Warehouse (ADW). Users can now leverage Nexla’s universal connector architecture with new Oracle DB and Oracle ADW connectors.
This partnership is another step in Nexla’s commitment to enabling connection to anywhere users need it.
Nexla’s unified data operations platform takes a universal connector approach that enables easy connectivity to data from anywhere, files, data warehouses, data lakes, APIs, and even data streams. Oracle users now have an easy, scalable, and powerful platform to connect their database or autonomous data warehouse to and from. Once a data flow is connected to Oracle as a source or destination, transforming is simple and Nexla will automatically monitor for data quality, notifying if any errors occur. This connector comes bundled with the platform for all users, and linking is as easy as uploading your Oracle credentials and wallet .zip file. Check out our tutorial on how easy it is to do that below.
Working with data from Oracle ADW or DB just became easier with Nexla. Business users can now quickly work with their data in Oracle without complex coding knowledge or waiting for data to transfer or pipelines to be hand-coded.
To learn how you can use Nexla to integrate, transform, and provision any data to your Oracle DB or ADW, schedule a demo today.
Essential checklist for validating AI-ready data before building LLM pipelines. Learn the 10 critical steps ML teams must follow to ensure quality, freshness, and compliance.
The Fivetran–dbt merger tests the future of open source in a SaaS-dominated world. Can dbt Core stay community-driven as corporate incentives reshape the modern data stack? Here’s what’s at stake—and what comes next.
Poor data management can cost organizations 15–20% of revenue. Reusable, scalable data products help—but only if they’re consistent and reliable. A Common Data Model (CDM) standardizes and structures data, ensuring accuracy, scalability, and long-term value.
