OracleBigQuery

Oracle + BigQuery

Oracle Database is a widely used database for large enterprises to store, manage, and analyze data. BigQuery, on the other hand, is a serverless Big Data solution developed by Google that provides robust capabilities for large-scale data storage and analytics.

With Erathos, you can integrate Oracle data into BigQuery in just a few minutes. Our platform handles the entire data movement process into your analytics environment and lets you combine that data with other sources in your data warehouse. That frees your team to focus on what truly drives value — extracting actionable insights and making more data-driven decisions.

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Convenia
Vakinha
Linus
Rabbot
Auvo
Roqt
Xperiun
Tecnova
WePayments
Brick
CCM
Simplified extraction and ingestion

Move data in a few clicks

1

Connect your source

Authenticate your account and you're done. 100+ ready-made connectors, no code required.

2

Configure the sync

Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.

3

Choose your destination

Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.

What Oracle data does Erathos sync to BigQuery?

The integration automatically syncs Oracle’s core objects:

  • Selected tables — incremental replication of any configured table
  • Schema drift — newly detected columns automatically added to the destination
  • Primary keys and timestamps — used for efficient incremental sync
  • Historical data — full initial load followed by incremental updates

Why sync Oracle with BigQuery?

Keeping an analytical copy of Oracle operational data in BigQuery ensures heavy queries don’t impact production application performance. With incremental replication and schema drift detection, your data warehouse stays up to date while the transactional database remains stable and responsive.

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, keeping pipelines fast and BigQuery costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination dataset. Each run is fully observable: execution time, processed rows, errors with context, and instant alerts via Slack or email if anything goes wrong.

Why companies move data from Oracle to BigQuery with Erathos

Consolidating Oracle data into BigQuery has never been easier

Erathos is a data ingestion platform for teams that need to replicate operational databases for analytics. With the Oracle connector, you can incrementally sync tables and transactional records to BigQuery—with schema drift detection and complete logs for every run.

Why do data teams choose Erathos for Oracle?

Data in your data warehouse in minutes

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Building 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.

Bruno Rosso
Bruno RossoData Analyst, Brick Software

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.

Matheus Nunes
Matheus NunesCTO & co-founder, WePayments

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.

Carlos Schwabe
Carlos SchwabeCo-Founder & CDO, Brick

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.

Thiago Paz
Thiago PazCFO, Brick

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.

Gustavo Loforte
Gustavo LoforteTechnology Manager, CCM Group

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.

Sayuri Valente
Sayuri ValenteProject Manager, Xperiun
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Other paths for your data

Other sources that land in BigQuery

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FAQ

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 observability into every pipeline run, zero maintenance, and none of the black-box opacity of traditional market tools.

Erathos uses incremental replication to sync tables from Oracle to BigQuery. Schema drift is detected automatically—if a column is added or changed in Oracle, the pipeline adapts without manual intervention.

You can configure synchronization frequency at the table level, from every 5 minutes up to once a day. Erathos uses incremental sync—only new or updated records are processed in each run, keeping the Oracle pipeline efficient and BigQuery 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 execution is logged with run time, processed rows, 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 BigQuery and start syncing immediately—no credit card required.

Data ingestion with control, observability and scale