Self-hosted analytics platform replacing Amplitude and Mixpanel. Tracks mobile, web, and IoT events in real time with complete data sovereignty.
A mobile app studio shipping iOS and Android apps faces telemetry latency and privacy hurdles when routing events to third-party clouds. Countly solves this by running a self-hosted analytics server that ingests device telemetry directly into an internal MongoDB instance. The platform combines real-time session tracking, crash diagnostics, and push notifications inside one operational control plane.
Ingestion latency and network overhead mark the main architectural divide. Amplitude receives telemetry over the public internet into multi-tenant cloud clusters, introducing transit latency, egress fees, and packet queuing. Countly ingests telemetry directly onto private infrastructure via a Node.js API writing straight to MongoDB. This handles high request volumes with minimal transit delay, updating dashboards in real time without client-side batching pauses.
The trade-off lies in retroactive querying. Amplitude uses a columnar database built for complex behavioral cohorts and multi-step conversion funnels across historical records. Countly Lite stores events in document collections, excelling at ingestion writes and real-time metric increments but omitting the secondary database required for ad-hoc funnel calculations. Teams gain immediate data ownership and zero egress costs, trading managed behavioral analytics for raw throughput.
Is Countly free for commercial use? Yes. The open-source Countly Lite server is free for commercial products, providing core telemetry and crash reporting without license fees.
Countly vs Amplitude — which should a product team choose? Amplitude fits teams needing managed behavioral funnels and cohort modeling, whereas Countly fits teams requiring private hosting, real-time ingestion, and zero third-party data egress.
Can Countly run on Windows or macOS servers? No. The server requires a 64-bit Linux distribution with AVX CPU support, though client applications on macOS and Windows can send telemetry to it.
Countly is the right tool when on-premises data ownership, fast telemetry ingestion, and combined crash reporting take priority over managed behavioral funnels. The project remains actively maintained with commits pushed in September 2026, and its AGPL-3.0 license requires hosting teams to share server source modifications with network users. For agencies and engineering leads running Linux infrastructure, it delivers complete analytics sovereignty without recurring cloud fees.
Lint, codegen, breaking-change checks and dependency management in one Git-native CLI. Open source, no registry lock-in.
Show that Countly is listed as an open-source alternative. Paste into your README: