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groundcover vs OpenObserve

OpenObserve is open-source and focuses on petabyte-scale data, while Groundcover is a commercial SaaS with BYOC and per-host pricing.

Side by side

What it is
groundcover:Groundcover provides full-stack cloud observability with logs, metrics, traces and Kubernetes events in a single platform.
OpenObserve:OpenObserve is an open-source observability platform for logs, metrics and traces at petabyte scale.
Best for
groundcover:Full-stack observability with BYOC architecture
OpenObserve:Unified, petabyte-scale observability
Who it’s for
groundcover:Site reliability engineers, DevOps teams and cloud engineers needing unified observability.
OpenObserve:Engineering teams needing high-performance, cost-effective observability.
Pricing
groundcover:Freemium
OpenObserve:Paid
Plans
groundcover:Free $0 · Pro $30 per host, per month · Enterprise $35 per host, per month · On Premise $50 per host, per month
OpenObserve:OpenObserve Cloud $0.50/GB per GB ingest
Open source
groundcover:—
OpenObserve:Yes, 22,149 GitHub stars
Works with
groundcover:OpenTelemetry, Kubernetes, AWS, Google Cloud Platform, Microsoft Azure, Slack, Linear, RUM
OpenObserve:OpenTelemetry, Prometheus, Datadog Agent, Kubernetes, AWS, Google Cloud, Azure
DevHunt upvotes
groundcover:39
OpenObserve:39
Launched on DevHunt
groundcover:Feb 2024
OpenObserve:Apr 2026

groundcover features

  • BYOC Architecture. Deploys inside your VPC so all telemetry stays private and secure.
  • eBPF Sensor. Zero-instrumentation data collection across infrastructure, apps and AI workloads.
  • Agent Mode. AI-driven assistant that runs queries, builds dashboards and automates actions.
  • Plain-language Explorer. Search and investigate data using natural language without query syntax.
  • AI Observability. Dedicated view for LLM calls and agent pipelines with cost and performance metrics.
  • Integrated Alerts & Workflows. Monitors, Slack and Linear connectors route alerts and create tickets automatically.
  • Cost-predictable Pricing. Per-host pricing based on average Kubernetes nodes, no ingestion fees.
  • Multi-cloud Support. Runs on AWS, GCP and Azure marketplaces with optional on-prem deployment.

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.