Comparing CDC Platforms on Automatic Schema Evolution Support
Automatic schema evolution reveals CDC platform maturity more than basic feature lists do.
Amara Osei-Bonsu
7 stories
Automatic schema evolution reveals CDC platform maturity more than basic feature lists do.
Choosing soft or hard deletes affects query correctness, compliance, and ML reliability.
Automate safe schema changes while flagging risky ones for review.
Design pipelines around 24-hour retention and two-consumer limits.
CDC and ClickHouse's ReplacingMergeTree enable sub-second analytical freshness.
Warehouse-native and pipeline-based ingestion each excel in different production conditions.
Dynamic Tables refresh transformed data; replication brings raw data fresh from source.