Great question - there's no Debezium under the hood. Artie has its own Reader and Transfer layers, built from scratch.
TOAST columns: Artie has automatic detection built in. If a TOAST column hasn't changed, its value won't appear in the WAL. Artie detects this and skips the update for that column in the destination. This works without needing to set REPLICA IDENTITY FULL on your tables.
Schema drift: Artie never requires a schema registry. For relational sources like Postgres, Artie reads the source schema directly and syncs new columns immediately. For DDL changes, Artie uses lazy schema evaluation. On the next DML event for the table, it compares source vs. destination schema and applies any outstanding changes before writing the row.
What does Artie do differently from Debezium for TOAST columns and schema drift, or is it Debezium under the hood?
Great question - there's no Debezium under the hood. Artie has its own Reader and Transfer layers, built from scratch.
TOAST columns: Artie has automatic detection built in. If a TOAST column hasn't changed, its value won't appear in the WAL. Artie detects this and skips the update for that column in the destination. This works without needing to set REPLICA IDENTITY FULL on your tables.
Schema drift: Artie never requires a schema registry. For relational sources like Postgres, Artie reads the source schema directly and syncs new columns immediately. For DDL changes, Artie uses lazy schema evaluation. On the next DML event for the table, it compares source vs. destination schema and applies any outstanding changes before writing the row.
Let me know if you have any other questions!
Congrats on the launch! Very impressive product!
Thank you! Appreciate it :)
good