Artie

Real-time data replication, without the infrastructure

iPaaS & Integration Data Warehousing www.artie.com

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Founded

2023

Starting Price

About Artie

Artie is a fully managed change data capture (CDC) platform that streams database changes into data warehouses and lakes with sub-minute latency and exactly-once delivery. It replaces DIY Kafka and Debezium builds or AWS DMS setups, handling schema evolution, backfills, and failure recovery automatically. Teams typically go from signup to first sync in under an hour.

Pros & Cons

Pros

Fully managed CDC removes the need to run Kafka, Debezium, or consumer code
Sub-minute latency with exactly-once delivery and automatic schema evolution
Backfills are free and never count toward billable rows
Generous free tier (1M rows/month, 2 pipelines) with no credit card
Reviewers consistently praise fast setup and a very responsive support team
Purchasable via AWS and Snowflake Marketplace against committed spend

Cons

Growth plan starts at $500/month, a steep jump from the free tier
Oracle and SQL Server sources are locked to the Enterprise plan
Focused on database sources; few SaaS application or third-party API connectors
Young company (founded 2023) with a small team compared to Fivetran or Qlik

Key Features

Real-time CDC streaming

Reads from database replication logs and streams every change to the destination with sub-minute latency.

Exactly-once delivery

Guarantees each change lands once, with automatic failure recovery so interrupted syncs resume without duplicates or gaps.

Automatic schema evolution

Detects and applies source schema changes downstream without manual pipeline edits.

Free backfills

Initial and additional backfills are always included and never count toward billable rows.

Column-level PII controls

Include, exclude, encrypt, or hash individual columns to keep sensitive data out of the warehouse.

SCD Type 1 and 2 history

Replicate tables as current state or keep full change history with slowly changing dimension modes.

Multi-tenant fan-in

Merge many single-tenant source databases into one unified destination schema.

Broad connector coverage

Sources include Postgres, MySQL, MongoDB, DynamoDB, CockroachDB, Supabase, and more; destinations include Snowflake, BigQuery, Databricks, Redshift, ClickHouse, and S3.