# Neo4j + Snowflake > Replicate data from Neo4j to Snowflake incrementally and securely. Real-time synchronization with schema drift detection and comprehensive logs. Source: https://www.erathos.com/en/pipelines/neo4j-snowflake Em português: https://www.erathos.com/pipelines/neo4j-snowflake Neo4j is a graph database management system designed to store and query highly connected data, efficiently representing relationships between entities. Snowflake, on the other hand, is a serverless Big Data solution developed by Google, providing robust storage and analytics capabilities at scale. With Erathos, you can integrate Neo4j data into Snowflake in just a few minutes. Our platform handles the entire data movement process to your analytical environment, allowing you to join this data with other sources in your Data Warehouse. This way, your time is focused on what actually drives value — extracting valuable insights and making more data-driven decisions. ### What Neo4j data does Erathos sync to Snowflake? The integration automatically syncs key Neo4j objects: - **Selected tables** — incremental replication of any configured table - **Schema drift** — new columns are automatically detected and added to the destination - **Primary keys and timestamps** — used for efficient incremental syncs - **Historical data** — full initial load followed by incremental updates ### Why sync Neo4j to Snowflake? In Snowflake, you can combine Neo4j data with other sources using elastic compute, preventing resource contention among different teams querying the same data simultaneously. ### How it works Erathos connects to Neo4j via official API and syncs your data incrementally — only new or updated records are processed in each run, keeping pipelines fast and Snowflake costs predictable. You choose the sync frequency (ranging from 5 minutes to daily), the objects to sync, and the destination dataset. Every run is tracked with complete observability: execution time, rows processed, errors with context, and instant alerts via Slack or email if anything goes wrong. ## Data in your data warehouse in minutes ### Ready-to-use Neo4j connector Replicate tables from Neo4j to Snowflake with incremental sync and automatic schema drift detection — without breaking pipelines when the schema changes. ### Full control over your Neo4j pipelines Configure sync frequency and sync type per table. Data arrives in Snowflake ready for secure sharing across teams and integration with BI and ML tools, without data duplication. ### End-to-end observability No more finding out about Neo4j failures 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 — keeping replication up to date without impacting the transactional database. ## Centralizing Neo4j data into Snowflake has never been easier Erathos is a data ingestion platform built for teams that need to replicate operational databases for analytics. With the Neo4j connector, you can incrementally sync transactional tables and records to Snowflake — complete with schema drift detection and detailed execution logs. ## FAQ ### What is Erathos and how can it help my company? 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 over every run, zero maintenance, and without the opacity of traditional market tools. ### How does Erathos sync data from Neo4j to Snowflake? Erathos uses incremental replication to sync tables from Neo4j to Snowflake. Schema drift is automatically detected — if a column is added or modified in Neo4j, the pipeline adapts with no manual intervention. ### How often does Erathos sync data from Neo4j to Snowflake? You can configure the sync frequency from every 5 minutes to daily, at the table level. Erathos uses incremental syncs—only new or updated records are processed in each run, keeping your Neo4j pipeline efficient and Snowflake 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 Snowflake and start syncing immediately — no credit card required.