Neo4j + Amazon S3
Neo4j is a graph database management system designed to store and query highly connected data, efficiently representing relationships between entities.
With Erathos, you can integrate Neo4j data into Amazon S3 in just a few minutes. Our platform handles the entire data movement process to your data lake and makes it possible to join that data with other sources. That way, your time is focused on what really creates value — extracting insights and making data-driven decisions.
Which Neo4j data does Erathos sync with Amazon S3?
The integration automatically syncs the main Neo4j objects:
Tables and collections — structure, records, and metadata
Records and documents — raw data with creation 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 Neo4j 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 Neo4j via the official API and syncs your data incrementally — only new or updated records are processed in 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. Each run is logged with full observability: runtime, processed rows, errors with context, and alerts via Slack or email.
No credit card required.
Why do data teams choose Erathos for Neo4j?
Ready-to-use Neo4j connector
Connect Neo4j to Amazon S3 and automatically export data. Centralize database information for analysis — no spreadsheets, no scripts.
Full control over your Neo4j 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.
End-to-end observability
Stop finding out about Neo4j issues 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 something goes off track — so your data stays fresh for analysis.
Why companies move data from Neo4j to Amazon S3 with Erathos
Centralizing Neo4j data in Amazon S3 has never been so simple
Erathos is a data ingestion platform built for data and engineering teams. With the Neo4j connector, you automatically centralize nodes, relationships, and graph data in Amazon S3 — always up to date, with full observability into every run and zero maintenance.
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 business?
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 black-box opacity of traditional market tools.
What Neo4j data does Erathos sync to Amazon S3?
Erathos performs incremental or full replication from Neo4j to your target data warehouse, including tables, schemas, and relationships. Sync frequency and schedule are configurable—no code required.
How often does Erathos sync data from Neo4j to Amazon S3?
You can configure sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental sync—only new or updated records are processed on each run, keeping the Neo4j pipeline efficient and Amazon S3 costs predictable.
What happens if a Neo4j 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 run is logged with runtime, rows processed, and error context so your team can debug in minutes, not hours.
Is there a free trial for the Neo4j connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect Neo4j to Amazon S3 and start syncing immediately — no credit card required.