Self-Serve Postgres CDC Replication With TOAST and Schema-Drift Handling
Artie opened self-serve access to its real-time database-to-warehouse replication and the first HN question was whether it handles TOAST columns and schema drift better than Debezium. Mid-market data teams still get paged for broken CDC pipelines weekly. A self-serve CDC product that makes the Debezium failure modes (TOAST, drift, replica identity) invisible is a wedge with proven willingness to pay.
Problem Statement
A two-person data team runs Debezium on Kafka Connect to feed Snowflake. TOAST columns silently drop values unless REPLICA IDENTITY FULL is set, schema drift breaks sink connectors at 2 am, and backfills require custom scripts. The team spends a day per week babysitting a pipeline that is supposed to be plumbing.
The Idea
A self-serve change-data-capture service for Postgres and MySQL that handles TOAST columns, schema drift, and backfills automatically for teams too small for a data platform group.
Why Now
Warehouse-native AI features in 2026 need fresh operational data, not nightly batch loads. Artie moving from sales-led to self-serve in June 2026 confirms vendors see mid-market pull, while Debezium remains the default and its operational sharp edges are unfixed.
Target User
Data engineers at 20 to 200 person companies running Postgres plus Snowflake, BigQuery, or Databricks without a dedicated platform team
Target Market
Data replication and ELT tooling for mid-market SaaS companies
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