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All Quiet vs OpenObserve

Open-source observability platform, not a full incident management SaaS with status pages.

Side by side

What it is
All Quiet:All Quiet is an incident management platform offering on-call scheduling, alert routing, status pages and multi-channel notifications.
OpenObserve:OpenObserve is an open-source observability platform for logs, metrics and traces at petabyte scale.
Best for
All Quiet:Simple, affordable incident management
OpenObserve:Unified, petabyte-scale observability
Who it’s for
All Quiet:DevOps, SRE and IT operations teams needing affordable incident response.
OpenObserve:Engineering teams needing high-performance, cost-effective observability.
Pricing
All Quiet:Paid
OpenObserve:Paid
Plans
All Quiet:Standard $4.99 per user / month per month · Pro $9.99 per user / month per month
OpenObserve:OpenObserve Cloud $0.50/GB per GB ingest
Open source
All Quiet:—
OpenObserve:Yes, 22,149 GitHub stars
Works with
All Quiet:Datadog, Google Cloud Monitoring, Grafana, Linear, Mattermost, Microsoft Teams, Prometheus Alertmanager, Slack
OpenObserve:OpenTelemetry, Prometheus, Datadog Agent, Kubernetes, AWS, Google Cloud, Azure
DevHunt upvotes
All Quiet:1
OpenObserve:39
Launched on DevHunt
All Quiet:Jan 2025
OpenObserve:Apr 2026

All Quiet features

  • Unlimited on-call schedules. Create and manage on-call calendars, rotations and escalations without limits.
  • Multi-channel alerting. Send alerts via SMS, phone, email, push and integrations like Slack and Teams.
  • Status pages. Publish public and private status pages with custom domains and subscriber management.
  • Developer-first integrations. Connect 50+ tools via built-in inbound/outbound integrations, webhooks or Terraform.
  • Infrastructure as Code. Configure routing, muting and other settings via Terraform provider or REST API.
  • Advanced reporting & compliance. Pro and Enterprise add OIDC/SCIM, audit logs, cross-team collaboration and detailed reports.

OpenObserve features

  • Unified observability stack. Collect, correlate and view logs, metrics, traces and more in a single platform.
  • Columnar Parquet storage. Rust-based storage engine provides 140× storage efficiency and 30× compute efficiency.
  • Auto-correlation engine. Analyzes millions of signals per second to automatically link related events.
  • AI SRE agent. Continuously triages incidents, finds root cause and drafts post-mortems.
  • AI assistant. Answers natural-language queries across all telemetry without writing queries.
  • LLM observability. Tracks prompts, completions, token usage and cost for LLM applications.
  • Kubernetes integration. One-click collector deploys logs, metrics, events and zero-code traces for clusters.
  • OpenTelemetry-native ingestion. Supports OpenTelemetry, Prometheus and Datadog agents for drop-in migration.

Based on each tool's website and DevHunt data. Details may change; check the official sites.