
Replicate your Oracle database into your Data Warehouse
Oracle Database is one of the most robust database management systems on the market, widely used to store and process large volumes of information with high security and performance. With the right technology, it is possible to perform Oracle data extractions in an automated way, ensuring efficient data movement to other analytical environments. This extraction facilitates integration with various platforms, optimizing analysis processes and decision-making.
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Create a single source of truth
What Is Erathos?
Replicate data from Oracle to your Data Warehouse incrementally
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.
Why Erathos?
Plug-and-play connectors
Connect Oracle with more than 80 other plug-and-play integrations. Eliminate time-consuming manual processes and consolidate all your information in a single analytics environment, ready to generate actionable insights.
Greater control over pipelines
Create Oracle data pipelines quickly: select the relevant data, configure the schedule, frequency, and update type without writing a single line of code. You stay in full control, with complete flexibility.
State-of-the-art observability
Monitor your Oracle pipelines with real-time alerts via email, Slack, or Discord. Stop getting caught off guard by sync errors and keep your data always up to date and reliable.
Our customers
Trusted by data-driven companies
Simplified data ingestion
1
Select your data source
More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and establish a pipeline.
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 BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
FAQ
Data ingestion with control, observability, and scale






















