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Aptabase vs OpenObserve
OpenObserve provides general observability (logs, metrics, traces) rather than app-specific event analytics.
Side by side
- What it is
- Aptabase:Aptabase provides open-source, privacy-first analytics for mobile and desktop apps.
- OpenObserve:OpenObserve is an open-source observability platform for logs, metrics and traces at petabyte scale.
- Best for
- Aptabase:Privacy-first app analytics
- OpenObserve:Unified, petabyte-scale observability
- Who it’s for
- Aptabase:Mobile and desktop app developers who need analytics without tracking users.
- OpenObserve:Engineering teams needing high-performance, cost-effective observability.
- Pricing
- Aptabase:Freemium
- OpenObserve:Paid
- Plans
- Aptabase:Free $0 · Pay as you grow $10 per month · Pay as you grow $20 per month · Pay as you grow $40 per month · Pay as you grow $75 per month
- OpenObserve:OpenObserve Cloud $0.50/GB per GB ingest
- Open source
- Aptabase:Yes, 1,825 GitHub stars
- OpenObserve:Yes, 22,149 GitHub stars
- Works with
- Aptabase:Swift, React Native, Electron, Flutter, Tauri
- OpenObserve:OpenTelemetry, Prometheus, Datadog Agent, Kubernetes, AWS, Google Cloud, Azure
- DevHunt upvotes
- Aptabase:6
- OpenObserve:39
- Launched on DevHunt
- Aptabase:Jan 2023
- OpenObserve:Apr 2026
Aptabase features
- Lightweight SDKs. More than 10 SDKs (Swift, React Native, Electron, Flutter, Tauri, etc.) that are tiny and fast.
- Real-time dashboard. Live view of events and session timelines updated instantly.
- Anonymous data collection. All data is fully anonymised, no device IDs, cookies or fingerprinting.
- Data ownership & export. You own all data and can export it to CSV at any time.
- EU/US residency & self-host. Choose EU or US data centers or host the service yourself.
- Debug/Release mode detection. SDK auto-detects debug builds to separate experiment data from production.
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.