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Best Amazon Managed Prometheus
alternative for metrics at scale.

AMP bills per sample, slows at high cardinality, leaves you running Grafana.Oodle AI replaces Prometheus and Grafana: no limits, about 50% lower cost.

“It’s the best way to do observability. I’m actually surprised that you get such good observability at a cheaper cost than the native AWS and GCP capabilities.”
Anuj MittalAnuj Mittal
Founding Engineer, WisdomAI

Why are teams choosing Oodle AI over Amazon Managed Prometheus?

Complete

  • Grafana UI included, not a separate AWS service
  • Logs, metrics, and traces in one platform
  • PromQL, dashboards, and alerts work unchanged

Built for scale

  • No cardinality limits or pre-aggregation tricks
  • Dashboards stay fast during incident traffic
  • Queries under a second at p99

Cost-efficient

  • About 50% lower cost than AMP
  • No per-sample or per-user meters
  • $2 per 1,000 active time series per month, all-in

Oodle AI vs Amazon Managed Prometheus, feature by feature

AMP removes the servers but keeps the sharp edges: per-sample pricing, cardinality limits, and a separate Grafana bill are what send teams looking for AMP alternatives.

Compare
Oodle AI
Amazon Managed Prometheus
Grafana UI & platform scope
Oodle AI✓A complete platform: metrics, the Grafana UI, alerting, logs, and traces.
Amazon Managed Prometheus✕A Prometheus backend only; Grafana is a second AWS service with per-user pricing.
PromQL compatibility
Oodle AI✓100% PromQL-compatible; point remote_write at Oodle AI and keep everything.
Amazon Managed Prometheus✓PromQL native.
Scalability & workspace quotas
Oodle AI✓Effortless and automatic, serverless by design.
Amazon Managed Prometheus✕Workspace quotas and limit increases you request and plan around.
Cardinality limits
Oodle AI✓High cardinality natively supported, with no limits.
Amazon Managed Prometheus✕A constant risk; teams pre-aggregate metrics just to avoid hitting limits.
PromQL query performance
Oodle AI✓Consistently under a second at p99, without tuning.
Amazon Managed Prometheus~Slows at high cardinality; incident-time dashboards can time out.
High availability
Oodle AI✓Built in and automatic on S3-backed storage.
Amazon Managed Prometheus✓Managed by AWS.
Multi-cloud support
Oodle AI✓Works across AWS, GCP, Azure, and on-prem sources.
Amazon Managed Prometheus✕AWS-only.
Pricing
Oodle AI✓$2 per 1,000 active time series per month, everything included.
Amazon Managed Prometheus✕Per-sample ingestion, metered query processing, plus Grafana per user.
Support
Oodle AI✓24/7 expert support from the team that built the platform, included.
Amazon Managed Prometheus~AWS support plans, billed separately.

See the difference on your own metrics.

Try the Playground

Amazon Managed Prometheus pricing vs Oodle AI

One flat metric price versus per-sample billing across separate AWS services.

Component
Metrics$2 / 1K series / mo$0.90 / 10M samples
Retention30d (up to 1 year)$0.03 / GB / mo
QueriesUnlimited, no query meter$0.10 / 1B samples
DashboardsGrafana UI includedAmazon Managed Grafana
AlertingBuilt-in alertingVia SNS
UsersUnlimited seatsAMG: $9 editor / $5 viewer

Oodle AI figures are from oodle.ai/pricing (metrics). AMP and Amazon Managed Grafana figures are AWS public pricing, US East first tiers (Jul 2026).

What to look for in an Amazon Managed Prometheus alternative

Four dimensions separate a real replacement from a lateral move. Here’s where each side lands.

Scalability & performance

AMP applies workspace quotas you request increases for, and heavy PromQL slows at high cardinality, exactly when incident dashboards refresh hardest. Judge a platform at your worst cardinality, not the average.

No cardinality limits; PromQL answers sub-second p99, held during spikes
Workspace quotas to plan around; teams pre-aggregate metrics to stay under limits

Integration capabilities

AMP is a backend only: dashboards require Amazon Managed Grafana, and Alertmanager routes through SNS. Count the services you wire together before a metric reaches a human.

remote_write in; Grafana UI, dashboards, and Slack/PagerDuty alerting built in
Needs Amazon Managed Grafana for dashboards; alerts route through SNS

Cost structure

AMP bills per sample ingested ($0.90 per 10 million on the first tier), per query sample processed, and per Grafana seat. Per-sample pricing means every new service or scrape raises the bill.

Flat $2 per 1,000 active time series per month; queries and Grafana included
Three meters: samples in, query samples processed, and Grafana seats

Ease of use

A metrics stack assembled from three AWS services (AMP, Managed Grafana, SNS/IAM wiring) is setup work before the first dashboard renders. The alternative should be usable on day one.

One platform: import dashboards and alerts in one click, PromQL unchanged
Assembly required: AMP + Managed Grafana + IAM and SNS wiring per workspace

See it in the product

Everything you run alongside Amazon Managed Prometheus, built in: dashboard and alert migration, AI-built panels, and an eBPF service graph.

Replaces rebuilding dashboards

One-Click Dashboard Migration

  • Import existing Grafana dashboards with one click
  • Panels, variables, and layout carried over
  • No manual rebuild, no PromQL rewrites
Docs
Replaces recreating alert rules

One-Click Alert Migration

  • Import your Alertmanager rules in one click
  • Routing and thresholds preserved
  • Context-aware alerting layered on top
Docs
Replaces hand-built PromQL panels

Create Dashboards with AI

  • Describe what you want to see in plain English
  • Oodle AI writes the PromQL and builds the panels
  • Refine and save in seconds
Docs
Out-of-the-box service map

eBPF Service Graph

  • Auto-mapped service dependencies, no instrumentation
  • Health, CPU, memory, error rate, and p95 latency per service
  • Spot the failing service at a glance
Docs

Trusted by teams like yours

“We’ve run customer instances on AWS, Azure, and GCP, and it is painful to go to individual cloud consoles. Oodle helps with the multi cloud use case by offering a single pane of glass.”

Guilherme MenezesGuilherme MenezesCo-founder and Chief Architect, WisdomAI
Trusted by
fast growing startups, unicorns and public companies
Cureskin
HappyPath
Wisdom AI
Fuel
Lookout
Zaggle
CureFit
Fello
Distacart
Workorb
Effective AI
different.ai
Labra
Bedrockdata

Frequently asked questions

What is the best Amazon Managed Prometheus alternative?

Oodle AI is the managed alternative teams move to when Amazon Managed Service for Prometheus (AMP) starts to bite on per-sample pricing and cardinality limits. It is 100% PromQL-compatible via remote_write, includes the Grafana UI instead of billing it as a second AWS service, has no cardinality limits, and costs a flat $2 per 1,000 active time series per month, typically about 50% less overall.

Why is Amazon Managed Prometheus so expensive?

Because three meters run at once: samples ingested (from $0.90 per 10 million on the first tier), query samples processed, and Amazon Managed Grafana seats at $9 per editor. Per-sample pricing means a new service launch or a churn spike can double the bill overnight. Oodle AI prices one flat meter: $2 per 1,000 active time series per month.

Do we keep PromQL, our dashboards, and alert rules?

Yes. Oodle AI is 100% PromQL-compatible, imports Grafana dashboards directly, and recreates alert rules with context-aware alerting. Your team’s muscle memory carries over on day one.

How do I migrate from Amazon Managed Prometheus to Oodle AI?

Three steps. Add Oodle AI as a remote_write target alongside AMP; no exporter or application changes (setup guides). Import dashboards and verify side by side. Then cut over and drop the AMP workspace. Most teams connect in 2-3 hours and validate within a day or two.

How does Oodle AI compare with other AMP alternatives?

Self-hosting Prometheus trades the AWS bill for Thanos and SRE time (see the self-hosted comparison). Grafana Mimir scales well but is another distributed system to run (see the Mimir comparison). Oodle AI is the managed drop-in with the Grafana UI included and one flat price.