Neo4j + Amazon S3
Neo4j is a graph database management system designed to store and query highly connected data, efficiently representing relationships between entities. Postgres, on the other hand, is a highly robust and scalable open-source relational database management system. It supports a wide range of data types and advanced features.
With Erathos, Neo4j data lands in Amazon S3 in organized, query-ready files, without your team having to write a single ETL script. This paves the way for queries via Athena or Spark and for archiving full history without the cost of a traditional data warehouse.
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Connect your source
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Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
What Neo4j data does Erathos sync with PostgreSQL?
The integration automatically syncs key Neo4j objects:
- Selected tables incremental replication of any configured table
- Schema drift new columns automatically detected and added to the destination
- Primary keys and timestamps used for efficient incremental syncing
- Historical data full initial load followed by incremental updates
Why sync Neo4j with Amazon S3?
In Amazon S3, Neo4j data is available in an open format, ready to be queried via Athena, Spark, or any analytics engine, without relying on a specific data warehouse.
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, keeping pipelines fast and Amazon S3 costs predictable. You choose the sync frequency (from 5 minutes to daily), the objects to sync, and the destination dataset. Every run is logged with full observability: execution time, processed rows, errors with context, and instant alerts via Slack or email if anything goes wrong.
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.
Neo4j data in Amazon S3 in minutes
Ready-to-use Neo4j connector
Connect Neo4j to Amazon S3 and automatically export data. Centralize database information for analysis — no spreadsheets, no scripts.
Learn moreFull 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.
Learn moreEnd-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.
Learn moreBuilding 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.”
“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.”
“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.”
“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.”
“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.”
“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.”
Other paths for your data
Other destinations for Neo4j
Other sources that land in Amazon S3
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
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.
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.
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.
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.
Yes. Every Erathos connector includes a 14-day free trial. Connect Neo4j to Amazon S3 and start syncing immediately — no credit card required.