Firebase Analytics alternative for games & apps

Looking for a Firebase Analytics alternative? Keentics is an event analytics platform for games and apps that gives you read-only SQL directly on your raw events — without standing up a separate data pipeline — plus funnels, N-day retention, cumulative LTV and game monetization metrics in the product. Where Firebase reporting leans toward aggregated dashboards and pushes raw analysis into BigQuery, Keentics keeps the raw events and the analysis in one place.

Raw data without an export pipeline

Firebase’s in-product reports are aggregated, and deeper, row-level questions typically route you to exporting events into BigQuery, then writing and maintaining queries there. That works, but it adds a system to operate and a cost line to watch. Keentics stores raw events in ClickHouse and exposes them directly:

Read-only SQL against your raw events from inside the product.
No separate warehouse to provision or sync before you can query.
Full export of the complete dataset whenever you want it.
No proprietary lock-in on your event history.

For a small team, removing that export-and-rebuild step is often the practical difference between “we’ll get to the raw data later” and actually using it.

Reports that go beyond aggregates

Aggregated dashboards are great for trends, but product and game questions are usually about specific behavior: where a funnel leaks, how a cohort retains, what a particular segment is worth. Keentics is built around those:

Funnel analysis with step-by-step drop-off.
N-day retention by cohort.
Sankey path exploration of real player journeys.
Cohorts and dashboards driven by behavioral questions.

You stay in one tool whether you’re reading a chart or writing a query against the rows behind it.

Keentics’ approach vs the typical Firebase setup

Raw analysis: read-only SQL in-product — vs export to a separate warehouse, then query there.
Operational overhead: one platform — vs analytics plus an export-and-maintain pipeline.
Game metrics: ARPU/ARPPU, whales, ad revenue and ROAS built in — vs general-purpose reporting where game monetization usually needs custom modeling.
Pricing: fixed tiers, not per project or seat, monthly billing available — vs usage-driven costs that can span several services.

Game monetization, modeled natively

Studios often hit the same wall: general analytics is strong on engagement but doesn’t model game revenue. Keentics computes ARPU and ARPPU, segments whales and spenders, tracks ad revenue and ROAS for paid acquisition, and rolls up cumulative LTV by cohort and source. The same platform covers the app side too — see game analytics for the monetization models or mobile & app analytics for apps.

When Firebase Analytics might still fit

If you’re deep in the Firebase ecosystem, mostly need free aggregated reporting, and you’re comfortable running a BigQuery export when you want raw data, Firebase is a reasonable fit. Keentics is aimed at game and app teams who want raw events directly queryable, native monetization metrics, and predictable pricing without extra infrastructure to operate. If you’re unsure on the terms, the glossary explains the core metrics.