Artie(@artie_labs):We benchmarked Artie vs. AWS DMS on real-time CDC from Postgres to Snowflake, under sustained writes of ~22,400 events/sec for 10 minutes. Midway through the test, DMS had already piled up 3.7GB of WAL backlog. By the end, it hit 6.1GB, growing faster in the second half. Meanwhile, Artie barely moved: 381MB to 385MB. A CDC tool that falls behind doesn't just give you stale data. It can fill up disk on your production database and in some cases, take it down entirely. Full breakdown👇

Artie

@artie_labs

Power your AI with real-time data. Sub-minute replication to Snowflake, Databricks, Redshift, and more. No babysitting required.

参加 January 2023

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Artie@artie_labs

2026.06.30 17:00

We benchmarked Artie vs. AWS DMS on real-time CDC from Postgres to Snowflake, under sustained writes of ~22,400 events/sec for 10 minutes. Midway through the test, DMS had already piled up 3.7GB of WAL backlog. By the end, it hit 6.1GB, growing faster in the second half. Meanwhile, Artie barely moved: 381MB to 385MB. A CDC tool that falls behind doesn't just give you stale data. It can fill up disk on your production database and in some cases, take it down entirely. Full breakdown👇