# PostgreSQL + BigQuery

> Synchronize PostgreSQL tables to BigQuery automatically with incremental loading. Try it free for 14 days.

Source: https://www.erathos.com/en/pipelines/postgresql-bigquery
Em português: https://www.erathos.com/pipelines/postgresql-bigquery

PostgreSQL is a widely used open-source relational database management system in enterprise applications. Amazon Redshift, on the other hand, is a cloud data warehouse designed for fast and efficient analysis of large datasets.

With Erathos, your PostgreSQL data lands in BigQuery in minutes, ready to be joined with other business sources in ad hoc queries, without your team having to manage ingestion infrastructure.

### What PostgreSQL data does Erathos sync to Redshift?

The integration automatically syncs key PostgreSQL objects:

- **Selected tables** incremental replication of any configured table
- **Schema drift** new columns are automatically detected and added to the destination
- **Primary keys and timestamps** used for efficient incremental syncs
- **Historical data** full initial load followed by incremental updates

### Why sync PostgreSQL to BigQuery?

In BigQuery, you can join PostgreSQL data with other business sources, running ad hoc queries in seconds on massive datasets without managing any infrastructure.

### How it works

Erathos connects to PostgreSQL via official APIs and syncs your data incrementally: only new or updated records are processed in 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. Every run is logged with full observability: execution time, rows processed, error context, and instant alerts via Slack or email if anything goes wrong.

## Data in your data warehouse in minutes

### Ready-to-use PostgreSQL connector

Replicate PostgreSQL tables to BigQuery with incremental synchronization and automatic schema drift detection—without breaking pipelines when the schema changes.

### Full control over your PostgreSQL pipelines

Configure schedule, frequency, and sync type at the table level. Incremental synchronization processes only new or modified records—keeping BigQuery costs low and your analyses always up to date.

### End-to-end observability

Stop discovering PostgreSQL issues only after the business team starts complaining. Every run is logged with execution time, processed rows, and error context. Get automatic alerts via Slack, Discord, or email the moment something goes off track — keeping replication up to date without putting your transactional database at risk.

## Centralizing PostgreSQL data in BigQuery has never been easier

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

## FAQ

### What is Erathos and how can it help my company?

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like PostgreSQL to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.

### How does Erathos synchronize data from PostgreSQL to BigQuery?

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

### How often does Erathos synchronize data from PostgreSQL to BigQuery?

You can configure the sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental synchronization—only new or updated records are processed in each run, keeping the PostgreSQL pipeline efficient and BigQuery costs predictable.

### What happens if a PostgreSQL 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 execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.

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

Yes. Every Erathos connector includes a 14-day free trial. Connect PostgreSQL to BigQuery and start syncing immediately—no credit card required.