Artie

About Artie

A real-time data ingestion tool leveraging change data capture to stream database changes into data warehouses. Artie minimizes data latency by continuously syncing changes rather than running periodic batch extracts.

Key Features

• 1Real-time database replication platform using CDC for sub-minute data freshness
• 2Reads change streams from PostgreSQL, MySQL, and MongoDB
• 3Writes to Snowflake, BigQuery, and Redshift with merge semantics
• 4Handles schema evolution automatically as source tables change
• 5Managed SaaS with a simple configuration-based setup

How Python Data Engineers Use Artie

Python data engineers use Artie to replace manual CDC pipelines and eliminate data warehouse lag. Rather than writing Python Debezium consumers and custom merge logic, engineers configure Artie via YAML to stream changes from a source database directly to the warehouse — achieving sub-minute data freshness without maintaining custom Python replication code.