Schema Evolution

When a change occurs to the schema of your data source, Upsolver automatically detects the change during ingestion and dynamically applies it to the target. This process, known as schema evolution, handles modifications such as the addition or removal of a column or changes in data types. Schema evolution ensures that your data remains consistent and up-to-date without requiring manual intervention.

The behavior of schema evolution can vary depending on the target data platform. Learn more about how schema evolution is handled for each target:

• Iceberg Schema Evolution

• Snowflake Schema Evolution

• Redshift Schema Evolution