Neo4j + Redshift
Neo4j is a graph database management system designed to store and query highly connected data, efficiently representing relationships between entities. Amazon Redshift, on the other hand, is a cloud data warehouse built for fast, efficient analysis of large volumes of data.
With Erathos, you can integrate Neo4j data into Redshift in minutes. Our platform handles the entire data movement process into your analytics environment and lets you join this data with other sources in your Data Warehouse. That frees up your time to focus on what actually drives value — uncovering insights and making more data-driven decisions.
What Neo4j data does Erathos sync to Redshift?
The integration automatically syncs Neo4j's core objects:
Selected tables — incremental replication for any configured table
Schema drift — newly detected columns are 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 Neo4j with Redshift?
Keeping an analytical copy of your Neo4j operational data in Redshift ensures heavy queries don't impact production app 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 Neo4j via the official API and syncs your data incrementally — only new or updated records are processed on each run, keeping pipelines fast and Redshift costs predictable. You choose the sync frequency (from every 5 minutes to daily), which objects to sync, and the destination dataset. Every run is fully observable: 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 Neo4j?
Ready-to-use Neo4j connector
Replicate tables from Neo4j to Redshift with incremental sync and automatic schema drift detection—without breaking pipelines when the structure changes.
Total control over your Neo4j pipelines
Set sync frequency and type per table. Incremental synchronization for Redshift — only new records processed in each run, without reprocessing everything from scratch.
End-to-end observability
No more finding out about Neo4j failures when the business team complains. Every run is logged with runtime, processed rows, and error context. Automatic alerts via Slack, Discord, or email as soon as something goes off track — keeping replication up to date without impacting the transactional database.
Why companies move data from Neo4j to Amazon Redshift with Erathos
Centralizing Neo4j data in Redshift has never been easier
Erathos is a data ingestion platform for teams that need to replicate operational databases for analytics. With the Neo4j connector, you can incrementally sync transactional tables and records to Redshift—with schema drift detection and complete logs for every run.
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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 Neo4j to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.
How does Erathos sync data from Neo4j to Redshift?
Erathos uses incremental replication to sync tables from Neo4j to Redshift. Schema drift is detected automatically—if a column is added or modified in Neo4j, the pipeline adapts without manual intervention.
How often does Erathos synchronize data from Neo4j to Redshift?
You can configure sync frequency at the table level, from every 5 minutes up to once daily. Erathos uses incremental synchronization—only new or updated records are processed in each run—keeping your Neo4j pipeline efficient and your Redshift costs predictable.
What happens if a Neo4j synchronization 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 Neo4j connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect Neo4j to Redshift and start syncing immediately — no credit card required.