Replicate your Neo4j database to your Data Warehouse

Neo4j is a graph database management system designed to store and query highly connected data, representing relationships between entities efficiently.

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Create a single source of truth

Connect Neo4j with the leading data warehouses in the market

Neo4j + BigQuery

Neo4j + Databricks

Neo4j + PostgreSQL

Neo4j + Redshift

What is Erathos?

Incrementally replicate data from Neo4j to your Data Warehouse

Erathos is a complete ELT software that extracts data from various sources through instant integrations. With plug-and-play connectors, you can consolidate all your data in a single analytical environment and build a Data Warehouse in minutes. Our platform also simplifies data movement from the Neo4j database, ensuring seamless integration and optimized analytics.

Why Erathos?

From Neo4j to your Data Warehouse in minutes

Plug and play connectors

Connect Neo4j with more than 80 other plug-and-play integrations. Eliminate time-consuming manual processes and consolidate all information into a single analytics environment, ready to generate actionable insights.

Greater control over pipelines

Build Neo4j data pipelines quickly: select the relevant data, set the schedule, frequency, and update type without writing a single line of code. You stay in full control, with complete flexibility.

Edge Observability

Monitor your Neo4j pipelines with real-time alerts via email, Slack, or Discord. Stop being caught off guard by sync errors and ensure your data stays up to date and reliable.

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Our customers

Writing data-driven stories

"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

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Matheus Gobato Nunes

CTO & co-founder @WePayments

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Trusted by data-driven companies

Simplified data ingestion

Move your data in minutes

Select your data source

More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and establish a pipeline.

Setup your pipeline

Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.

Select your data warehouse

Choose between BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data

FAQ

Frequently Asked Questions

How does Neo4j replication to the Data Warehouse work?

Erathos performs incremental or full replication from Neo4j to your destination Data Warehouse, including tables, schemas, and relationships. Sync frequency and schedule are configurable, with no code required.

Is Neo4j data synchronized incrementally?

Yes! The integration with Neo4j via Erathos is incremental by default: only new or changed data is synchronized on each run. This ensures efficient pipelines, lower processing costs, and data that is always up to date in your Data Warehouse.

Can I try the Neo4j integration for free?

Yes! You can test the integration with Neo4j for free for 14 days. Just connect Neo4j as a new source—you’ll have two weeks to validate whether the connector meets your needs before any charges apply.

Which data warehouses can I send data from Neo4j to?

With Erathos, you can send data from Neo4j to the market’s leading data warehouses: BigQuery, Snowflake, Redshift, Databricks, Amazon S3, and PostgreSQL. Just choose the destination and set up the pipeline in minutes, no code required.

Does Erathos integrate Neo4j directly with other systems?

No. Erathos does not perform direct, point-to-point integrations between Neo4j and other systems. Our focus is to centralize Neo4j data in a Data Warehouse, creating a single source of truth so your company can make decisions based on reliable data.