Neo4j + Redshift
Neo4j is a graph database management system designed to store and query highly connected data, efficiently modeling relationships between entities.
With Erathos, you can move data from Neo4j to Redshift in minutes. Our platform handles the entire data movement process into your AWS data warehouse and lets you join it with other sources. That way, your time goes to what really drives value — uncovering insights and making data-driven decisions.
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Connect your source
Authenticate your account and you're done. 100+ ready-made connectors, no code required.
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.
Which Neo4j data does Erathos sync to Redshift?
The integration automatically syncs Neo4j's core objects:
- Tables and collections — structure, records, and metadata
- Records and documents — raw data with creation and update timestamps
- Indexes — settings and performance metrics
- Schemas — type definitions and relationships
- Audit logs — write, update, and delete operations
- Connections — user and session metadata
Why sync Neo4j with Redshift?
In Redshift, you connect this data to the AWS ecosystem — QuickSight for visualizations, SageMaker for ML, and S3 as staging. Columnar storage optimized for analytical queries at petabyte scale with predictable billing. Ideal for teams already running on AWS.
How it works
Erathos connects to Neo4j through 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), which objects to sync, and the destination in Redshift. The sync uses incremental processing to keep Redshift costs predictable. You choose the sync frequency, the objects to sync, and the target schema. Each run is logged with full observability: runtime, rows processed, and alerts via Slack or email.
Centralizing data from Neo4j into Redshift has never been easier
Erathos is a data ingestion platform built for data and engineering teams. With the Neo4j connector, you can automatically centralize graph nodes, relationships, and graph data in Redshift — always up to date, with full observability into every run and zero maintenance.
Neo4j data in Redshift in minutes
Ready-to-use Neo4j connector
Connect Neo4j to Redshift and automatically export data. Centralize your database data for analysis—without spreadsheets or scripts.
Learn moreFull control over your Neo4j pipelines
Set the schedule, frequency, and sync type at the table level. Set the frequency and sync type per table. Incremental sync for Redshift — only new records are processed in each run, without reprocessing everything from scratch and with predictable AWS costs.
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 Redshift
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 once a day, at the table level. Erathos uses incremental sync—only new or updated records are processed on each run, keeping the Neo4j pipeline efficient and Redshift 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 Redshift and start syncing right away — no credit card required.