SAP Data Aging Services
Reduce SAP HANA memory pressure by separating operational data from historical data without losing access.
Why SAP HANA memory keeps filling up
Not all data deserves to sit in expensive in-memory storage.
Operational systems accumulate years of data that is rarely accessed but still loaded into memory.
Large tables consuming SAP HANA main memory
Slower query performance on transactional systems
Rising infrastructure and cloud costs
Limited control over data visibility in day-to-day operations
Difficulty balancing performance with data retention requirements
Not sure whether Data Aging or Archiving fits your system?
Keep hot data fast. Push cold data out of memory.
A framework-driven approach built into SAP S/4HANA and Suite on HANA.
Classify data as hot (current) or cold (historical) using business logic
Move less-used data to historical partitions inside the same SAP HANA table
Reduce memory footprint without deleting or archiving data
Improve response times by querying only operational data by default
Control data movement using aging objects, residence times, and aging runs
Retain SQL access to historical data when required
Why enterprises trust TechOrbit for SAP Data Aging
Applied with discipline, not guesswork.