HyperObserve vs Prometheus

Compare complete observability platform with metrics-only monitoring. See why teams upgrade from Prometheus to HyperObserve.

Key Differences at a Glance

Deployment

HyperObserve: 5 minutes
Prometheus: Hours of setup

Coverage

HyperObserve: Full stack
Prometheus: Metrics only

Maintenance

HyperObserve: Fully managed
Prometheus: Self-managed

Feature-by-Feature Comparison

FeatureHyperObservePrometheus
Implementation
Zero code changes, eBPF-based
Requires exporters for each service
Performance Overhead
<5% CPU overhead
1-5% per exporter
Time to Deploy
5 minutes, automatic discovery
Hours configuring exporters
Cost
$99/host simple pricing
Open source (self-managed)
Application Tracing
Built-in distributed tracing
Metrics only, no tracing
Database Monitoring
MySQL, PostgreSQL, MongoDB, Redis auto-detected
Requires database exporters
Learning Curve
Minimal - works out of box
Steep - PromQL, exporters, config
Data Storage
Built-in with 7 backend options
Local storage, needs external TSDB
High Availability
Built-in clustering
Complex federation setup
Visualization
Built-in dashboards & analytics
Requires Grafana

Note: HyperObserve's eBPF-based monitoring requires Linux kernel 4.14+ for full features. Prometheus runs on any platform but requires exporters for each service you want to monitor.

Architecture Comparison

HyperObserve: Complete Platform

All-in-One Solution

Metrics, logs, traces, and RUM in a single platform

Automatic Discovery

eBPF auto-detects all services without configuration

Built-in Everything

Storage, visualization, alerting, and analytics included

Prometheus: Metrics Only

Metrics-Focused

Only collects metrics, needs separate tools for logs/traces

Manual Configuration

Each service needs an exporter configured and maintained

Additional Tools Needed

Requires Grafana, AlertManager, external storage, etc.

Total Cost of Ownership

HyperObserve

Software Cost

$99/host/month

All features included

Engineering Time

Minimal

5 minute setup, no ongoing maintenance

10-host environment:

$990/month total

Prometheus Stack

Software Cost

$0

Open source

Engineering Time

Significant

  • • Setup: 40-80 hours
  • • Maintenance: 20-40 hours/month
  • • Exporter management
  • • Storage scaling

Hidden costs:

  • • 0.5-1 FTE engineer
  • • External storage (Thanos, Cortex)
  • • Grafana Enterprise

When to Choose Each

Choose HyperObserve When You Need:

  • Complete observability (metrics + logs + traces)
  • Fast deployment without code changes
  • Application performance monitoring
  • Managed solution with support
  • AI-powered analytics and predictions

Choose Prometheus When You Have:

  • Dedicated monitoring team
  • Only need basic metrics
  • Existing Prometheus expertise
  • Time to manage infrastructure
  • Strict open-source requirements

Migrating from Prometheus to HyperObserve

1

Deploy HyperObserve Agent

Install alongside Prometheus - they don't conflict. Get immediate full-stack visibility.

2

Import Prometheus Metrics

HyperObserve can scrape Prometheus endpoints directly for gradual migration.

3

Recreate Dashboards & Alerts

Use our Grafana migration tool or recreate dashboards with enhanced visualizations.

4

Decommission Prometheus Stack

Once verified, remove Prometheus, exporters, and associated infrastructure.

Benefits After Migration:

  • • 80% reduction in monitoring infrastructure
  • • Application tracing and RUM added automatically
  • • No more exporter management
  • • Built-in log aggregation and analysis

"We spent months setting up Prometheus, Grafana, Loki, and Tempo. HyperObserve replaced all of it in 5 minutes with better visibility and 1/10th the operational overhead."

Sarah Chen

VP Engineering, TechCorp

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See why teams upgrade from Prometheus to HyperObserve

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