Archiving Old Data to Keep Things Fast
Databases generally slow down as they grow, and much of that growth is old data nobody queries day to day — orders from years ago, expired sessions, historical logs. Archiving moves that data aside so your live tables stay lean and quick.
This article explains the approach and how we keep archived data available when you need it.
Why Size Affects Speed
Bigger tables mean larger indexes, slower backups and more data to sift through. Keeping the active set small is one of the simplest ways to maintain good performance over years of operation.
How Archiving Works
- Agree what counts as 'old' for each type of data.
- Move that data to a separate archive table or store.
- Remove it from the live tables in safe batches.
- Keep a route to retrieve archived records on request.
Not the Same as Deleting
Archiving preserves the data — it simply moves it out of the fast path. This respects retention rules and keeps history available for audits or the occasional deep report.
If you need a hand with any of this, your Progressive Robot delivery team is ready to help. Raise a ticket from the Support area of your client portal or speak to your account manager and we will guide you through the next steps.