SWQL vs SPL: When to Use Which Query Language
Both are query languages from monitoring heavyweights, both look a bit like SQL, and engineers who touch both platforms routinely mix them up. They are built for different data, though.
The one-line answer
- SWQL queries structured metric/inventory data in SolarWinds (a relational model).
- SPL searches unstructured, time-series event/log data in Splunk (a search-and-pipe model).
Side by side
| SWQL | SPL | |
|---|---|---|
| Platform | SolarWinds Platform (Orion) | Splunk |
| Shape | SQL-like SELECT ... FROM ... WHERE | Piped search | command | command |
| Data | Polled metrics, inventory, topology | Indexed logs/events |
| Mutation | Read-only | Read-only (writes via SPL2/collect) |
| Best at | ”What’s the state of my devices?" | "What happened, and when?” |
A worked contrast
To find busy interfaces in SolarWinds you describe state (see our SWQL utilisation query):
SELECT n.Caption, i.Name, i.InPercentUtil
FROM Orion.NPM.Interfaces i JOIN Orion.Nodes n ON i.NodeID = n.NodeID
WHERE i.InPercentUtil > 80To find noisy firewall sources in Splunk you describe a pipeline over events (see our SPL blocked-IP search):
index=firewall action=blocked | stats count by src_ip | sort -countRule of thumb
Reaching for device health, capacity, config compliance → SWQL. Reaching for what a log said, security events, correlation across sources → SPL. Many shops run both, feeding SolarWinds alerts into Splunk for long-term retention and correlation.