Mimir scales Prometheus with microservices: ingesters, queriers, compactors.Oodle AI is a PromQL-compatible replacement: same scale, zero components.
“Switching to Oodle has been remarkable. Dashboards load faster, costs dropped 3× in under 6 hours, and it’s been rock-solid since the move from Coralogix over a year ago. The migration was seamless and support has been top-notch.”
Kunal KhandelwalMimir solves Prometheus scale by becoming a distributed system of its own. Running that system is what sends teams looking for Mimir alternatives.
Oodle AISee the difference on your own metrics.
Try the PlaygroundMimir is free software; running the fleet is not. The same metric components, side by side.
| Component | Oodle AI | |
|---|---|---|
| Metrics | $2 / 1K series / mo | Self-run fleet |
| Retention | 30d (up to 1 year) | Object storage + compactors |
| Queries | Unlimited | Your queriers |
| Dashboards | Grafana UI included | Grafana (self-hosted) |
| Alerting | Built-in alerting | Ruler + Alertmanager |
| High availability | Automatic, built in | Replication + zones |
| Users | Unlimited seats | Self-managed |
Oodle AI figures are from oodle.ai/pricing (metrics). Self-hosted Mimir has no license fee; its real cost is the component fleet and SRE time.
Four dimensions separate a real replacement from a lateral move. Here’s where each side lands.
Mimir reaches Prometheus scale by splitting into microservices: distributors, ingesters, queriers, query-frontends, compactors, store-gateways. The scale is real, but every component is yours to size, replicate, and page on.
Same scale with zero components: serverless storage, sub-second p99 at any cardinalityMimir is Prometheus-native and so is Oodle AI: both accept standard remote_write. The difference is everything around the backend, which with Mimir you deploy and operate yourself.
remote_write in; Grafana UI, rules, and alerting included and managedMimir’s bill is a fleet: each component sized for peak and replicated for HA, plus object storage and the SREs who tune it all. The license is free; the fleet is not.
Flat $2 per 1,000 active time series per month, everything includedStanding up Mimir means Helm or jsonnet deploys, hash-ring configuration, and per-component capacity tuning before one dashboard loads. An alternative should keep PromQL and remove the distributed system.
Nothing to deploy; import dashboards and alerts in one clickWhat Mimir leaves you to assemble, built in: one-click dashboard and alert migration, a live service map, and one view across signals.

“Our devops team was spending 25% of their time managing our observability stack across 6 different grafana and prometheus instances. With Oodle, we’ve a fully managed single pane of glass across all environments, AWS accounts and k8s clusters. It just works, we don’t have to think about it.”
Mike ChristopherEngineering Manager, Fuel








A managed service that keeps Mimir’s strengths, Prometheus compatibility and horizontal scale, and removes its cost: the distributed system you operate. Oodle AI is a PromQL-compatible drop-in with no ingesters, queriers, or compactors to run, no cardinality limits, and one flat price of $2 per 1,000 active time series per month.
Because Mimir is a distributed system with many moving parts: distributors, ingesters, queriers, compactors, and store-gateways, each needing sizing, tuning, and on-call attention. Teams report sudden OOM kills, dashboards that time out mid-incident, and two full-time SREs just to keep it running.
Not on Oodle AI. One Mimir team described a high-cardinality metric crashing the stack and causing a multi-hour visibility gap. Oodle AI’s columnar, serverless architecture is built for high cardinality: keep every label, and the platform stays up.
Three steps. Add Oodle AI as a remote_write target next to Mimir; no exporter or application changes (setup guides). Import your Grafana dashboards and verify side by side. Then retire the fleet. Most teams connect in 2-3 hours and validate within a day or two.
Plain self-hosted Prometheus avoids Mimir’s complexity but caps your scale (see the Prometheus comparison). Amazon Managed Prometheus removes hosting but bills per sample with cardinality limits (see the AMP comparison). Oodle AI is the managed option with Mimir-class scale and none of the fleet.