# Oracle + Amazon S3

> Store data as Parquet on S3 with Iceberg using Erathos. Sync Oracle data with Erathos — an incremental, no-code pipeline with end-to-end observability.

Source: https://www.erathos.com/en/pipelines/oracle-amazon-s3
Em português: https://www.erathos.com/pipelines/oracle-amazon-s3

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 strong security and performance. With the right technology, Oracle data can be extracted automatically, ensuring efficient movement of data into other analytics environments. This extraction makes it easier to integrate with a variety of platforms, streamlining analysis and decision-making workflows.

With Erathos, you can integrate Oracle data into Amazon S3 in just a few minutes. Our platform handles the entire data movement process into your data lake and makes it possible to combine that data with other sources. That means your time goes toward what truly creates value — uncovering insights and making data-driven decisions.

### What Oracle data does Erathos sync with Amazon S3?

The integration automatically syncs Oracle's main objects:

- **Tables and collections** — structure, records, and metadata
- **Records and documents** — raw data with create and update timestamps
- **Indexes** — configuration and performance metrics
- **Schemas** — type definitions and relationships
- **Audit logs** — write, update, and delete operations
- **Connections** — user and session metadata

### Why sync Oracle with Amazon S3?

In Amazon S3 with Iceberg, your data is stored as Parquet files with support for time travel and schema evolution — ready to be queried with Athena, Spark, Trino, or any query engine in your stack. Ideal for low-cost archiving and ML feature stores.

### How it works

Erathos connects to Oracle through the official API and syncs your data incrementally — only new or updated records are processed on each run. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination in Amazon S3. The sync uses automatic partitioning and Parquet file optimization. You choose the sync frequency, the objects to sync, and the destination bucket. Every run is fully observable: execution time, rows processed, context-rich errors, and alerts via Slack or email.

## Oracle data in Amazon S3 in minutes

### Ready-to-use Oracle connector

Connect Oracle to Amazon S3 and automatically export data. Centralize database data for analysis — no spreadsheets and no scripts.

### Full control over your Oracle pipelines

Configure the schedule, frequency, and sync type at the table level. Configure partitioning, file format, and write frequency at the table level. The Iceberg format ensures ACID compliance and schema evolution — without full bucket rewrites.

### End-to-end observability

Stop finding out about Oracle failures only when the business team complains. Every run is logged with runtime, rows processed, and error context. Automatic alerts via Slack, Discord, or email as soon as anything goes off track — so your data stays fresh for analysis.

## Centralizing Oracle data in Amazon S3 has never been this easy

Erathos is a data ingestion platform built for data and engineering teams. With the Oracle connector, you can automatically centralize tables and database objects from Oracle into Amazon S3 — always up-to-date data, full visibility into every run, and zero maintenance.

## FAQ

### What is Erathos, and how can it help my business?

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Oracle to their data warehouse—with full visibility into every run, zero maintenance, and none of the black-box opacity you get from traditional market tools.

### What Oracle data does Erathos sync to Amazon S3?

Erathos performs incremental or full replication from Oracle to your target data warehouse, including tables, schemas, and relationships. Synchronization is configurable by frequency and schedule, with no code required.

### How often does Erathos sync data from Oracle to Amazon S3?

You can configure the sync frequency from every 5 minutes up to once a day, at the table level. Erathos uses incremental sync—only new or updated records are processed on each run, keeping the Oracle pipeline efficient and Amazon S3 costs predictable.

### What happens if an Oracle sync fails?

Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context — not just “job failed.” Smart retries handle transient errors, and every run is logged with runtime, rows processed, and error context so your team can debug in minutes, not hours.

### Is there a free trial period for the Oracle connector?

Yes. Every Erathos connector includes a 14-day free trial. Connect Oracle to Amazon S3 and start syncing right away — no credit card required.