

Oracle + PostgreSQL
Oracle Database is a widely used system by large enterprises for storing, managing, and analyzing data. Postgres, on the other hand, is a robust, scalable open-source relational database management system that supports a wide range of data types and advanced features.
With Erathos, you can seamlessly perform an Oracle to Postgres integration in just a few minutes. Our platform automates the entire data movement process, ensuring your data is efficiently transferred to your analytical environment. This allows you to easily cross-reference Oracle to Postgres data with other sources in your Data Warehouse, enabling you to focus on extracting valuable insights and making more data-driven decisions.
No credit card required.


Why Erathos
Seamless Oracle to Postgres Migration
Erathos makes Oracle to Postgres migration fast and efficient. Our platform automates the extraction, transformation, and loading (ETL) process, eliminating the need for manual scripts and reducing transition time. This allows your team to focus on strategic analysis rather than technical complexities.
Full Control Over Your Data
With Erathos, you have full control over your Oracle to Postgres migration. Our platform lets you schedule updates, configure synchronization frequency, and monitor pipeline status, ensuring your data is always up-to-date and accessible.
Reliability and Expert Support
Oracle to Postgres migration can be complex, but Erathos ensures a secure and reliable process. Our team of experts is ready to assist at every step, ensuring a smooth transition with no data loss.
What Is Erathos
Gather data from different sources in one place
Erathos is a complete ELT software that extracts data from various sources through instant integrations. With plug & play connectors, you can concentrate all your data in a single analytical environment and build a data warehouse in minutes.
Our customers
Simplified data ingestion
1
Select your data source
Choose your data source between over 50 plug'n'play connectors. You can test each connector for 14 days.
2
Setup your pipeline
Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.
3
Select your data warehouse
Choose between Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
FAQ