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ETL Oracle data with Trifacta



Oracle Database is a multi-model database management system.

ETL data from business-critical applications such as Salesforce, HubSpot, ServiceNow, Zuora, etc. into your Oracle database in seconds. With Trifacta's Oracle data connector, you can transform, automate, and monitor your Oracle data pipeline in real-time. No code required.


Join Oracle data with any data source

Combine datasets from any data source with your Oracle data. Connect to any data - Trifacta's data integration workflow supports a wide variety of cloud data lakes, data warehouses, applications, open APIs, file systems, and allows for flexible execution, including SQL, dbt, Spark, and Python. Whether it's joining Oracle data with your Salesforce CRM data, an Excel or CSV file, or a JSON file, Trifacta's visual workflow lets you interactively access, preview, and standardize joined data with ease.

Oracle Screenshot

Oracle to your data warehouse in minutes

ETL your Oracle data to the destination of your choice.


No-code automation for your Oracle data pipeline

Trifacta empowers everyone to easily build data engineering pipelines at scale. With a few simple clicks, automate your Oracle data pipeline. No more tedious manual uploads, resource-intensive transformations, and waiting for scheduled tasks. Deploy and manage your self-service Oracle data pipeline in minutes not months.

Ensure quality data every time.

No matter how you need to combine and transform data stored in Oracle, ensure that the end result is high-quality data, every time. Trifacta automatically surfaces outliers, missing data, and errors and its predictive transformation approach allows you to make the best possible transformations to your data.

Schedule, automate, repeat.

Automate your Oracle data pipelines with job scheduling so that the right data is in your Oracle database when you need it. When new data lands in your Oracle database, let your scheduled data pipelines do the work of preparing it for you—no manual intervention required.


"Designer Cloud allows us to quickly view and understand new datasets, and its flexibility supports our data transformation needs. The GUI is nicely designed, so the learning curve is minimal. Our initial data preparation work is now completed in minutes, not hours or days."


Use cases for the Oracle data connector

  • ETL Oracle data to Amazon Redshift

  • ETL Oracle data to Google BigQuery

  • ETL Oracle data to Snowflake

  • ETL Oracle data to Databricks

  • ETL Oracle data to MySQL

  • ETL Oracle data to Microsoft Azure

  • Join Oracle data with Google Sheets data

  • Prepare Oracle data for data visualization in Tableau

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