

Oracle + Redshift
Oracle Database is widely used by large enterprises for storing, managing, and analyzing data, while Amazon Redshift is a cloud data warehouse optimized for fast and efficient analysis of large datasets.
With Erathos, you can seamlessly integrate Oracle to Redshift in just a few minutes. Our platform automates the entire data movement process, ensuring a smooth transfer to your analytical environment while allowing you to cross-reference this data with other sources in your Data Warehouse. This way, you can focus on what truly matters—extracting valuable insights and making more data-driven decisions.
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Why Erathos
Fast and effortless integration
With Erathos, moving data from Oracle to Redshift is seamless and efficient. Our plug & play connectors eliminate manual processes and simplify data consolidation from multiple sources, allowing your team to focus on what truly matters: analysis and strategic decision-making.
Full control over your data pipelines
Erathos provides an intuitive platform to manage your data flows without writing a single line of code. Configure your Oracle to Redshift extraction based on your specific needs, setting up frequency, volume, and update rules with ease.
Smart monitoring for enhanced security
Avoid unexpected failures and ensure your data is always up to date. Erathos offers full observability with automated alerts and notifications via email or Slack, giving you complete control over your data pipelines' performance.
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 seamlessly move Oracle to Redshift, 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