Data process type are divided into the categories 'Bulk Transfer and Batch Compare', processes for processing archived database logs ('Archived Logs'), and processes for real-time processing of changes that occur ('Active Logs/Realtime CDC'). Under 'Other processes' processes are listed that basically correspond to one of the three main categories, but do not perform the complete input-processing-output.

Features of bulk transfer processes:

• Efficient transfer of entire databases and files
• For all databases, backups/extracts/unloads of databases, and sequential files
• Analysis for data consistency
• Ideal as ‘initial load’
• Suitable for periodic mass data transfer
• data exchange in one step (extract, transform, apply)

Features of batch compare processes:

• Comparison of data snapshots
• Efficient transfer of change data since the last run
• For all databases with direct access and sequential files (sorted by key)
• Automatic creation of deltas by RDRS
• Safe restart after error incidents

Features of processing archived logs:

• Processing of DBMS log files
• For all data sources providing archive logs
• Transfer of the change data within predefined time intervals
• Ideal as nightly batch processing
• Suitable as processing right after log commit

Features of real-time processes:

• Near real-time capture of change data
• Obtains the change data information directly from the DBMS or active log
• For all data sources providing active logs
• Secure data management, even across a DBMS restart

So-called 'control processes' are a special form. They do not primarily process data, but can monitor and control other processes.