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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.
groundcoverObservability, for the Cloud.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.