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.
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.
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
1
Bruno Rosso
Data Analyst
Every new source implementation, if I had to do it alone, would take me about two or three months. With Erathos, it's done in a few hours. I don't need a data engineer's skillset to deliver real value with company data.
10
Luis Ribas
CTO
I can describe my experience with Erathos as seamless; we had no major issues migrating from our old data pipeline platform. Their support is always impeccable, both in answering questions and resolving issues. I highly recommend them, without a doubt.
11
Sayuri Valente
Project Manager
The robustness and efficiency of Erathos's connectors—whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul—make the entire pipeline much faster and more reliable. The technical documentation is extremely well-crafted and intuitive, which greatly legacy simplifies implementation.
2
Kauê Raizer
Co-founder
Centralizing our data with Erathos gave us a roadmap to structure the company: today, we can view NPS and churn in a consolidated way and use that to drive decisions. If I were to give advice to another founder, it would be: centralize your data from day one.
3
Matheus Nunes
CTO & Co-founder
Erathos revolutionized data management at WE. By integrating multiple SaaS platforms into a single DW, our engineering team can now focus on the core business. We implemented dashboards providing insights across all departments, enriching our data culture and streamlining decision-making.
4
Fernando R.
Head of Data
Erathos brought an incredible boost in productivity. With no worries about data ingestion, the team focused on strategy rather than pipeline maintenance. Implementing a new connector takes minutes, and the reliability is outstanding. It was one of the best decisions we've made.
5
Carlos Schwabe
Co-Founder & CDO
We used to have a lot of rework, but not anymore. Working this way is much more efficient. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.
6
Fernando Costa
CTO & Co-founder
It was impossible to run our operations on spreadsheets. Erathos was a perfect fit: they became the data engineer I didn't have. We managed to reduce analysis time, establish weekly data rituals, and, most importantly, trust the data we use.
7
Thiago Paz
CFO
If I didn't have this infrastructure, I would need three or four people to do what Erathos does today. I was able to drive real value from my data with a much leaner team than I ever imagined needing.
8
Felipe Corrêa
CTO & Co-founder
Erathos is essential for anyone looking for a quick go-live when centralizing data from multiple sources. We successfully integrated 6 different data sources in a single day, something that would have taken weeks without Erathos.
1
Bruno Rosso
Data Analyst
Every new source implementation, if I had to do it alone, would take me about two or three months. With Erathos, it's done in a few hours. I don't need a data engineer's skillset to deliver real value with company data.
10
Luis Ribas
CTO
I can describe my experience with Erathos as seamless; we had no major issues migrating from our old data pipeline platform. Their support is always impeccable, both in answering questions and resolving issues. I highly recommend them, without a doubt.
11
Sayuri Valente
Project Manager
The robustness and efficiency of Erathos's connectors—whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul—make the entire pipeline much faster and more reliable. The technical documentation is extremely well-crafted and intuitive, which greatly legacy simplifies implementation.
2
Kauê Raizer
Co-founder
Centralizing our data with Erathos gave us a roadmap to structure the company: today, we can view NPS and churn in a consolidated way and use that to drive decisions. If I were to give advice to another founder, it would be: centralize your data from day one.
3
Matheus Nunes
CTO & Co-founder
Erathos revolutionized data management at WE. By integrating multiple SaaS platforms into a single DW, our engineering team can now focus on the core business. We implemented dashboards providing insights across all departments, enriching our data culture and streamlining decision-making.
4
Fernando R.
Head of Data
Erathos brought an incredible boost in productivity. With no worries about data ingestion, the team focused on strategy rather than pipeline maintenance. Implementing a new connector takes minutes, and the reliability is outstanding. It was one of the best decisions we've made.
5
Carlos Schwabe
Co-Founder & CDO
We used to have a lot of rework, but not anymore. Working this way is much more efficient. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.
6
Fernando Costa
CTO & Co-founder
It was impossible to run our operations on spreadsheets. Erathos was a perfect fit: they became the data engineer I didn't have. We managed to reduce analysis time, establish weekly data rituals, and, most importantly, trust the data we use.
7
Thiago Paz
CFO
If I didn't have this infrastructure, I would need three or four people to do what Erathos does today. I was able to drive real value from my data with a much leaner team than I ever imagined needing.
8
Felipe Corrêa
CTO & Co-founder
Erathos is essential for anyone looking for a quick go-live when centralizing data from multiple sources. We successfully integrated 6 different data sources in a single day, something that would have taken weeks without Erathos.
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.