Aptabase

Aptabase is an open-source analytics service for mobile, desktop and web applications. It fits developers and small teams that need cross-platform event reporting without persistent user profiles. Choose it for privacy-oriented session insight and predictable event pricing; choose another platform when analysis must follow individual users.

Overview

Aptabase records only the events a developer sends through its SDK track function. Nothing is collected automatically, so teams control their measurement plan but must instrument every event they want to study. Those events feed a real-time dashboard covering sessions, event activity, app and operating-system versions, devices and countries.

Live session viewing, a geographic view, session timelines, custom event properties, dark mode and CSV export make the dashboard useful for operational checks and investigation. Analytics data can be retained for up to five years, which supports long-running products that need historical context.

Key features

The privacy model is Aptabase's defining strength. It says it does not use device identifiers, cookies, fingerprints or long-term user identification, and describes sessions as anonymous. The maker also states that the service is GDPR, CCPA and PECR compliant and collects no personal data, potentially allowing an app to avoid a consent banner. Product owners still need to judge their own legal and consent obligations.

Cloud customers select EU storage in Germany or US storage in Virginia; analytics for the chosen region is processed and stored there. SDKs and quickstarts span Swift, Kotlin, Flutter, React Native, NativeScript, Electron, Tauri, .NET MAUI, web apps, React/Next.js, Angular, browser extensions, Unity, Unreal Engine, Godot, Python and C++. That breadth is practical for teams shipping the same product across several stacks.

The privacy boundary is also the main analytical limitation. Aptabase cannot identify users, so it cannot report Monthly Active Users, per-user retention or funnels tied to individuals. It provides no retention reports or funnel analysis. Teams evaluating onboarding, conversion or repeat use at an individual level will find the event and session view insufficient.

Each SDK track call counts as one event. Cloud quotas are hard monthly caps: when a plan is exceeded, analytics pauses until the next month and no overage fee is charged. Self-hosting is free, but the operator must handle maintenance and updates. Support is offered by email, Discord and GitHub issues.

Pricing

The free plan is suitable for prototypes, small releases and teams validating instrumentation. It costs free and allows up to 20,000 events per month, unlimited apps, EU or US residency, the built-in dashboard, live view, session timeline and CSV export. Its event ceiling is the principal constraint; exceeding it pauses collection rather than generating a bill.

The paid tiers retain unlimited apps, regional residency and the same dashboard tools while raising the event allowance. All are billed monthly in USD and can be cancelled at any time:

• Pay as you grow — 200,000 events: $10 a month.
• Pay as you grow — 1,000,000 events: $20 a month.
• Pay as you grow — 2,000,000 events: $40 a month.
• Pay as you grow — 5,000,000 events: $75 a month.
• Pay as you grow — 10,000,000 events: $140 a month.
• Pay as you grow — 20,000,000 events: $240 a month.
• Pay as you grow — 30,000,000 events: $300 a month.
• Pay as you grow — 50,000,000 events: $450 a month.

These plans are a good fit when event volume is foreseeable and stopping collection at a cap is preferable to surprise overages. A growing product must monitor usage closely, because the service does not continue collecting after the monthly allowance.

Platforms

Aptabase supports Android, iOS, macOS, Windows, web, browser extensions and self-hosted deployments. Its cross-platform SDK coverage makes it suitable for products sharing analytics across native, hybrid, game and desktop clients.

Who it's for

Indie developers, small studios, open-source projects and SaaS teams are the natural audience. It is particularly well suited to privacy-sensitive products that want regional hosting and anonymous operational signals. It is a poor fit for growth teams whose core questions require individual retention, user cohorts or person-based funnels.

Pros and cons

• Pros: anonymous collection without device identifiers, cookies or fingerprints; broad SDK coverage; EU or US regional cloud storage; live sessions, timelines and CSV export; free self-hosting; a free cloud tier with unlimited apps.
• Cons: no user-level metrics, retention reports or funnel analysis; all tracking depends on deliberate event instrumentation; cloud collection stops at the monthly cap; self-hosting leaves maintenance and updates to the customer.

Alternatives

Pick GameAnalytics instead when game-oriented reporting with events, funnels, cohorts, retention and real-time dashboards, plus no MAU limit on its free plan, matters more than Aptabase's anonymous model.

PostHog is the stronger alternative for teams seeking an open-source product with broader product-analytics ambitions across self-hosted and cloud platforms.

Choose Zoho Apptics when a free-forever plan with project, application, error and engagement allowances matches your operating scale.

Appfigures suits teams focused on connected-app intelligence and store-oriented monitoring rather than Aptabase's in-app event stream.

Consider devtodev when MAU-based reporting, custom events and team seats are more important than anonymous-only analytics.

Umeng U-App is an alternative mobile analytics service with a permanently free Chinese-language plan.

Use Firebase Cloud Messaging when the requirement is no-cost push messaging rather than application analytics.

Fullstory is an alternative for teams prioritizing session replay and product-analytics retention allowances.

For a broader shortlist, see Mobile App Analytics Software.

Verdict

Aptabase is a strong choice for privacy-conscious developers and small cross-platform teams that need live event and session visibility at a clear, quota-based cost. Its decisive drawback is the absence of individual-user reporting: products built around retention, cohorts or person-level funnels should select a more identity-based analytics platform.