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.
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Connect your source
Authenticate your account and you're done. 100+ ready-made connectors, no code required.
Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
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.
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.
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.
Learn moreFull 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.
Learn moreEnd-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.
Learn moreBuilding data-driven stories
“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”
“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”
“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”
“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”
“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”
“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”
Other paths for your data
Other destinations for Oracle
Other sources that land in Amazon S3
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
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.
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.
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.
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.
Yes. Every Erathos connector includes a 14-day free trial. Connect Oracle to Amazon S3 and start syncing right away — no credit card required.