Real-time log monitoring, without the per-GB indexing bill.
Splunk's indexing model made sense for on-prem log search a decade ago. For Kubernetes environments today, it means a per-GB bill that scales with log volume and indexing delay before logs are searchable. Randoli streams logs in real time, at $0 for ingestion.
Where it actually differs
Log monitoring
Real-time, streamed through the same pipeline as your other signals, across Kubernetes and VMs today, no per-GB log bill.
Logs are indexed on ingest and billed per-GB, with an indexing pass before they're fully searchable.
Pricing model
$0 for ingestion. One flat rate per host, regardless of log volume.
Priced by ingested volume (or workload pricing on newer tiers), cost rises directly with log volume, a common source of Splunk migrations.
Data ownership
Raw logs and traces are processed and stored in your own environment. Only signals reach the control plane.
Splunk Cloud stores and indexes data on Splunk's platform; self-managed Splunk Enterprise requires running and licensing the indexing infrastructure yourself.
Scope beyond logs
Infrastructure, traces, cost, and security posture on the same OTel-native pipeline as logs.
Built around log search; infrastructure, APM, and Kubernetes cost require separate Splunk Observability Cloud products and licenses.
AI incident response
Raiya correlates infra, metrics, logs, and traces, then executes approved runbooks.
AI Assistant helps write SPL queries; not a full incident-response agent with runbook execution.
The numbers
Volume assumption: ~300 GB logs/day and ~50 M trace spans/day per 100 hosts, converted to Splunk Cloud's ingest-pricing tiers at published rates. The gap widens as log volume grows: Randoli's rate doesn't move with data volume, Splunk's does. Randoli at $0.04/host/hour.
| Scenario | Splunk (est.) | Randoli |
|---|---|---|
| ~$4,800/mo | ~$1,440/mo | |
Randoli: $0.04/host/hr × 50 hosts × ~730 hrs/mo ≈ ~$1,440/mo Splunk (est.): illustrative, based on that vendor's published rate card at the volume in this scenario — see the assumption note above. | ||
| ~$19,200/mo | ~$5,760/mo | |
Randoli: $0.04/host/hr × 200 hosts × ~730 hrs/mo ≈ ~$5,760/mo Splunk (est.): illustrative, based on that vendor's published rate card at the volume in this scenario — see the assumption note above. | ||
| ~$27,000+/mo | ~$5,760/mo | |
Randoli: $0.04/host/hr × 200 hosts × ~730 hrs/mo ≈ ~$5,760/mo Splunk (est.): illustrative, based on that vendor's published rate card at the volume in this scenario — see the assumption note above. | ||
| Quote-based, six figures annually | ~$14,400/mo | |
Randoli: $0.04/host/hr × 500 hosts × ~730 hrs/mo ≈ ~$14,400/mo Splunk (est.): illustrative, based on that vendor's published rate card at the volume in this scenario — see the assumption note above. | ||
Illustrative estimates based on published rate cards and typical usage patterns, not a quote. Confirm current numbers before publishing.
Why teams switch
Splunk built its reputation on powerful search over massive log volumes, and for teams with deep SPL expertise already invested, that search power is real. It just wasn't built with Kubernetes-scale, high-volume telemetry or predictable per-GB costs in mind.
Most teams migrating off Splunk are chasing two things at once: a bill that doesn't grow linearly with log volume, and logs that are queryable the moment they're written instead of after an indexing pass. Randoli's real-time pipeline and $0 ingestion address both, in the same platform that already covers infrastructure, traces, cost, and security.