Artie

What it does

Artie is a real-time data replication platform that streams changes from operational databases (Postgres, MySQL, MongoDB, DynamoDB) to data warehouses (e.g., Snowflake) with sub-minute latency and exactly-once delivery. It eliminates the need to build and maintain complex infrastructure like Kafka, Debezium, or custom consumer code. Artie handles schema evolution, fan-in from single-tenant databases, column-level masking, and SCD type 1 & 2. It can be deployed within the customer's own cloud account or on-premise, and never stores customer data—it reads from replication logs and streams directly to the destination.

Who it is for

Artie is built for data engineering teams, AI/ML teams, and analytics teams that need fresh, reliable data in their warehouse without the operational overhead of building and maintaining a streaming pipeline. It is especially suited for organizations using Postgres, MySQL, MongoDB, or DynamoDB as source databases and Snowflake (or similar) as a destination. Use cases include powering real-time dashboards, AI agents that require up-to-date context, and A/B testing frameworks that depend on low-latency data.

Why it matters

Stale data leads to hallucinating AI agents and misleading dashboards. Traditional batch replication (e.g., overnight loads) introduces hours of latency, while building a real-time pipeline in-house typically takes 1–2 years and requires expertise in Kafka, Debezium, and failure recovery. Artie reduces deployment time from months to under an hour, and provides enterprise-grade reliability from day one—including automatic schema evolution, exactly-once semantics, and rapid failure recovery. Customers report 90%+ reductions in latency and maintenance overhead, and the ability to free up terabytes of data previously locked in batch systems.

Launch signal

Artie is publicly available with a free 14-day trial (no credit card required). The website prominently displays a live counter of rows replicated (over 223 million) and P95 latency of 1.95 ms, indicating production usage at scale. Customer case studies from ClickUp, Tatango, and others are featured, along with comparisons to Fivetran, AWS DMS, Debezium, and Confluent. The company is headquartered in San Francisco and has published documentation, a blog, and a careers page.

Brand and naming

The name "Artie" is short, friendly, and memorable—suggesting a helpful assistant that handles the hard work of data replication. The brand positions itself as a simpler, faster alternative to building custom streaming infrastructure, with a focus on AI readiness and enterprise reliability. The tagline "Real-time data replication, without the infrastructure" clearly communicates the core value proposition.