# Neo4j + Azure SQL Server

> Move nodes, relationships, and graph data from Neo4j to Azure SQL Server with Erathos. Incremental, no-code ELT pipeline with full observability. Start for free.

Source: https://www.erathos.com/en/pipelines/neo4j-azure-sql-server
Em português: https://www.erathos.com/pipelines/neo4j-azure-sql-server

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 Azure SQL Server in just minutes. Our platform handles the entire data movement process to your relational database in the Azure cloud and makes it possible to join that data with other sources. That way, your time goes toward what really creates value — extracting insights and making data-driven decisions.

### Which Neo4j data does Erathos sync with Azure SQL Server?

The integration automatically syncs Neo4j's main 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 Azure SQL Server?

In Azure SQL Server, you connect this data to the Microsoft ecosystem — Power BI for executive dashboards, Azure Data Factory for orchestration, and Azure Synapse for large-scale analytics. Ideal for teams already operating in the Azure cloud and who need reliable operational data in SQL Server.

### 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 Azure SQL Server. The sync uses intelligent UPSERT in Azure SQL Server to ensure consistency even during reprocessing. You choose the sync frequency, the objects to sync, and the destination database. Each run is fully observable, with execution time, processed rows, and alerts via Slack or email.

## Neo4j Data in Azure SQL Server in Minutes

### Ready-to-use Neo4j connector

Connect Neo4j to Azure SQL Server and automatically export data. Centralize database data for analysis — no spreadsheets, no scripts.

### Full control over your Neo4j pipelines

Set the sync schedule, frequency, and type at the table level. Configure sync frequency and type per table. Erathos uses intelligent UPSERT on Azure SQL Server — ensuring data consistency and native integration with Power BI and the Microsoft ecosystem.

### End-to-end observability

No more finding out about Neo4j issues only when the business team complains. Every run is logged with runtime, processed rows, and error context. Automatic alerts via Slack, Discord, or email as soon as something goes off track — so your analyses always have fresh data.

## Centralizing Neo4j data in Azure SQL Server has never been easier

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 Azure SQL Server — always up to date, with full observability into every run and zero maintenance.

## 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 behavior of traditional market tools.

### What Neo4j data does Erathos sync to Azure SQL Server?

Erathos performs incremental or full replication from Neo4j to your target data warehouse, including tables, schemas, and relationships. Sync frequency and timing are configurable, with no code required.

### How often does Erathos sync data from Neo4j to Azure SQL Server?

You can set the 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 Azure SQL Server 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 period for the Neo4j connector?

Yes. Every Erathos connector includes a 14-day free trial. Connect Neo4j to Azure SQL Server and start syncing right away — no credit card required.