PostgreSQL + Databricks
PostgreSQL is an open-source relational database management system widely used in enterprise applications. Databricks, in turn, is a serverless Big Data solution that provides robust capabilities for storing and analyzing data at scale.
With Erathos, you can integrate PostgreSQL data into Databricks in just a few minutes. Our platform handles the entire data movement process into your analytics environment and makes it possible to blend that data with other sources in your Data Warehouse. That way, your time goes where it really creates value — extracting actionable insights and making more data-driven decisions.
What PostgreSQL data does Erathos sync to Databricks?
The integration automatically syncs PostgreSQL's main objects:
Selected tables — incremental replication of any configured table
Schema drift — new columns detected and 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 PostgreSQL with Databricks?
Keeping an analytical copy of PostgreSQL operational data in Databricks ensures heavy queries don't affect 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 PostgreSQL through the official API and syncs your data incrementally — only new or updated records are processed on each run, keeping pipelines fast and Databricks costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the target dataset. Each run is logged with full observability: runtime, rows processed, errors with context, and instant alerts via Slack or email if anything goes wrong.
No credit card required.
Why do data teams choose Erathos for PostgreSQL?
Ready-to-use PostgreSQL connector
Replicate PostgreSQL tables to Databricks with incremental synchronization and automatic schema drift detection—without breaking pipelines when the schema changes.
Full control over your PostgreSQL pipelines
Configure frequency, sync type, and partitioning by table. Data arrives in Databricks ready for ML, analytics, and ad hoc queries—with predictable cost.
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.
Why companies move data from PostgreSQL to Databricks with Erathos
Centralizing PostgreSQL data in Databricks 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 sync tables and transactional records to Databricks incrementally—with schema drift detection and complete logs for every run.
Our Customers
Trusted by data-driven companies
Simplified data ingestion
1
Select your data source
More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and create a streamlined path forward.
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
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 Databricks?
Erathos uses incremental replication to sync PostgreSQL tables to Databricks. Schema drift is automatically detected—if a column is added or changed in PostgreSQL, the pipeline adapts without manual intervention.
How often does Erathos synchronize data from PostgreSQL to Databricks?
You can configure synchronization frequency at the table level, from every 5 minutes up to once per day. Erathos uses incremental synchronization—only new or updated records are processed in each run, keeping your PostgreSQL pipeline efficient and your Databricks 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 Databricks and start syncing immediately—no credit card required.