Artie is a data replication platform that streams changes from operational databases to data warehouses and other destinations, helping teams build real-time data pipelines without managing Kafka infrastructure or maintaining custom consumer code. The service is designed for sub-minute latency and exactly-once delivery, with automatic schema evolution and recovery features. Teams can connect sources such as PostgreSQL, MySQL, MongoDB, and DynamoDB, then select the tables and columns to replicate and configure masking or slowly changing dimensions.

Artie supports use cases including analytics, AI and machine learning, and consolidating data from multiple databases into a unified destination schema. Customers can deploy the platform in their own cloud accounts or on premises. Artie says it does not store customer data; it reads replication logs and streams changes to the chosen destination, with encrypted credentials and end-to-end data encryption.

The company offers self-serve signup and product demonstrations, and provides connector information, documentation, customer stories, and comparisons with tools such as Fivetran, AWS DMS, and Debezium