Alternatives

Firebase Analytics alternatives

Six tools worth moving to when free stops being cheap — and an honest account of when it has not.

Almost nobody chooses Firebase Analytics. It arrives with the project, it costs nothing, and for the first year it is entirely adequate. The search for an alternative rarely begins with a complaint about the product; it begins with a specific afternoon when somebody asks a question the tool will not answer.

Usually that question is a funnel. Sometimes it is "why do the numbers in the dashboard disagree with the numbers in the database". Occasionally it is the discovery that the 501st distinct event name was silently dropped. Whatever the trigger, the pattern is the same: Firebase is excellent at collecting events and deliberately thin at helping you interpret them, because the interpretation layer is BigQuery and BigQuery is a different product with a different bill and a different skill set.

Below are six tools that answer the question Firebase deflects, ranked for a mobile product team. One of them is ours. Three of them are better than ours at things we will name specifically, and there is a section further down explaining when the correct decision is to close this page and stay where you are.

Why teams look for a Firebase Analytics alternative

The funnel that turns into a data project

Firebase funnel reporting is limited and inflexible, and the official answer to anything beyond it is to export raw events to BigQuery and write SQL. That converts a fifteen-minute product question into a warehouse, a schema and somebody who knows how to unnest an array of event parameters.

Sampling arrives exactly when volume does

Firebase samples high-cardinality and high-volume reporting. The threshold is easy to ignore until you cross it, at which point the reports become least trustworthy precisely when the stakes are highest — a launch week, a viral post, an incident.

Five hundred event names, then silence

Firebase caps distinct custom event types per app. Nothing errors when you exceed it; the new names simply stop being recorded. Teams typically discover the cap months later while looking for an event they are certain they instrumented.

Crashes live in a different product

Analytics is Firebase, crashes are Crashlytics, and although they share a console they do not share a session model. You can see that a crash happened and you can see that a funnel leaked, and joining the two is left as an exercise for the reader.

The 6 best Firebase Analytics alternatives

Ranked for a product team, with the trade-offs stated in both directions. Where another tool beats ours, it is named and the reason is given.

Nohmo

Our pick

React Native teams who want funnels and crash context in one SDK

Built for the question that comes after a crash: which step of which flow was the user on, and did this release cause it. Analytics, crash capture and rage-tap detection share one SDK, one session model and one identity, so the join Firebase asks you to build in BigQuery already exists. Flat price per project, unlimited events, no sampling and no cap on event names.

Strengths

Funnels, retention and journeys you build in the dashboard, not in SQL
Native iOS and Android crashes tied to the session and funnel step that produced them
Detects silent failures — dead taps, forms that submit into the void — which never throw and so never reach Crashlytics
Cookieless, with anonymous history retroactively linked to the user at login
One flat bill: $49/mo per project during early access, normally $79

Trade-offs

Not free, which is the entire reason most teams are on Firebase
No BigQuery export, Remote Config, A/B testing or Google Ads audience sync
Stack traces are not yet symbolicated, so mobile traces are less readable than Crashlytics
SDKs cover JavaScript, React, Next.js and React Native only — no native-only Swift or Kotlin projects

Nohmo vs Nohmo — full comparison

PostHog

Teams who want funnels, replay and feature flags in one open-source platform

The most complete free-tier alternative on this list, and the one we would recommend first if breadth matters more than mobile depth. Funnels, retention, session replay, feature flags and experiments in a single product, with a generous free allowance and the option to self-host. The mobile SDKs are real but less mature than the web ones, and the product surface is large enough that it takes a while to learn.

Strengths

Very generous free tier, then usage-based pricing
Session replay, feature flags and experiments included rather than sold separately
Open source with a self-hosting path

Trade-offs

Usage-based billing means the bill still moves with volume
Large surface area — more to configure and learn than a focused tool
Crash reporting is not its strength; most teams still pair it with something else

Amplitude

Teams with a dedicated analyst who need genuine behavioural depth

If the reason you are leaving Firebase is that you want to do serious analysis — predictive cohorts, complex segmentation, behavioural modelling — Amplitude is the strongest tool here and it is not particularly close. It is also the most expensive, priced on monthly tracked users, and it does nothing about crashes. Choose it when analysis is somebody’s actual job.

Strengths

The deepest behavioural analysis available in this category
Mature enterprise governance, SSO and compliance
Large integration and partner ecosystem

Trade-offs

MTU-based pricing that climbs steeply as you grow
No error or crash monitoring at all
Overkill if nobody on the team is a full-time analyst

Nohmo vs Amplitude — full comparison

Mixpanel

A familiar, flexible report builder on a workable free tier

The most direct like-for-like replacement for what people actually use Firebase Analytics for: events, funnels, retention. The report builder is genuinely excellent and the free tier is generous enough that small teams can run on it for a long time. Billing is metered on events, which quietly discourages the rich instrumentation that makes the tool worth having.

Strengths

Excellent, flexible report builder
Generous free tier
Well-documented, widely known, easy to hire for

Trade-offs

Event-metered pricing penalises thorough instrumentation
No error or crash monitoring
Mobile is supported but treated as a secondary surface

Nohmo vs Mixpanel — full comparison

Countly

Teams who must keep analytics data on their own infrastructure

The only pick here that solves data residency outright. If policy or regulation says the events cannot leave your servers, Countly is the answer and the rest of this list is irrelevant. Broad feature coverage including crash reporting, delivered as a plugin architecture — with the corresponding obligation to run, upgrade and capacity-plan it yourself.

Strengths

Self-hostable, open-source core
Crash reporting and product analytics in one platform
Extensible if you are willing to write against it

Trade-offs

You operate it, including at three in the morning
Several of the more useful plugins sit behind the commercial tiers
Setup is a project, not an afternoon

Nohmo vs Countly — full comparison

Aptabase

Small apps that want privacy-first basics and nothing more

Deliberately minimal, open source, privacy-first, and cheap. If what you actually need is event counts and a sense of which screens people visit — and the BigQuery escalation was the whole problem — Aptabase is a clean, honest answer that will take an hour to adopt. It does not attempt funnels, crash monitoring or attribution, and does not pretend otherwise.

Strengths

Simple, fast to adopt, privacy-first by design
Self-hostable and inexpensive
Very little to learn

Trade-offs

No crash monitoring, no attribution
Funnel and retention analysis is thin
Outgrown quickly by a team asking harder questions

Nohmo vs Aptabase — full comparison

When you should stay on Firebase Analytics

Migrations cost more than the invoice they save. These are the cases where the honest recommendation is to close this page.

•Your analytics budget is genuinely zero and has to stay there at any volume. Firebase is free, every option above is not, and no amount of feature comparison changes that arithmetic.
•You depend on Remote Config, Firebase A/B testing, or Google Ads audience sync. These are real products with no equivalent on this list, and replacing analytics does not replace them.
•You already have a BigQuery warehouse and somebody comfortable writing SQL against raw event tables. The export that frustrates most teams is a genuine advantage once you have paid that cost — Firebase becomes an unusually cheap event pipe.
•Your app is native Swift or Kotlin rather than React Native, and you value first-party Google SDK support. Several tools here, ours included, are strongest in the JavaScript and React Native world.

Switching from Firebase Analytics to Nohmo

Run both in parallel first. Two weeks of side-by-side data on your own traffic settles the question better than any comparison page, including this one.

Install alongside what you already have

Nohmo and Firebase do not conflict, and there is no reason to remove Firebase on day one. Run both for a fortnight, compare the numbers on your own traffic, and make the decision with evidence rather than a feature table.

bash

npm install nohmo

Mount one provider

Page views, clicks, sessions, JavaScript errors and native crashes are captured from here on. There is no second SDK to configure for errors, and no third for mobile.

tsx

// app/layout.tsx — Next.js
import { NohmoNextProvider } from 'nohmo'
 
export default function RootLayout({ children }) {
  return (
    <html lang="en">
      <body>
        <NohmoNextProvider
          projectId={process.env.NEXT_PUBLIC_NOHMO_PROJECT_ID!}
          apiKey={process.env.NEXT_PUBLIC_NOHMO_API_KEY!}
        >
          {children}
        </NohmoNextProvider>
      </body>
    </html>
  )
}

Wrap the app on mobile

React Native uses the same package and the same credentials. Screen views, taps, native iOS and Android crashes and install attribution all come from this one provider.

tsx

import { NohmoProvider } from 'nohmo/react-native'
 
export default function App() {
  return (
    <NohmoProvider projectId="proj_xxxx" apiKey="pk_xxxx">
      <RootNavigator />
    </NohmoProvider>
  )
}

Translate logEvent to send

Custom events map one to one. The useful difference is that there is no cap on distinct event names, so the instrumentation you trimmed to stay under 500 can come back.

tsx

// Before — Firebase
await analytics().logEvent('checkout_step', { step: 2 })
 
// After — Nohmo
const { send } = useNohmo()
send('CHECKOUT_STEP', { step: 2, cartTotal: 149.99 })

Link the user at login

Call linkUser() once your login resolves. Every anonymous event that device ever fired — including the visits before the account existed — is retroactively attached to that user, so you do not lose the pre-signup history the way a fresh install usually does.

tsx

import { useNohmo } from 'nohmo'
 
const { linkUser } = useNohmo()
 
// Always await — linkUser makes a network call to link the device.
await linkUser(user.id, user.email, { plan: user.plan })

Give one goal a monetary value

This is the step that pays for the migration. Once a conversion carries an amount, Nohmo can compare sessions that hit an error against sessions that reached the same page and did not — and price the gap. That is the number that decides what you fix first.

tsx

const { trackConversion } = useNohmo()
 
trackConversion('user_created')
trackConversion('purchase', { amount: 29.99, currency: 'USD' })

On your platform

React Native

React Native analytics and crash reporting

One npm install, one provider, and the instrumentation writes itself.

Flutter

Flutter analytics and crash reporting

Screens, taps and native crashes from one Dart package — no codegen step.

Frequently asked questions

What is the best Firebase Analytics alternative?+

It depends on why you are leaving. For breadth on a free tier, PostHog. For analytical depth with an analyst to use it, Amplitude. For data residency, Countly. For a React Native team that wants funnels and crash context in one SDK without building a BigQuery pipeline, Nohmo. If you only need event counts, Aptabase will take an hour and cost almost nothing.

Is there a free alternative to Firebase Analytics?+

PostHog and Mixpanel both have free tiers that carry a small product a long way, and Countly and Aptabase can be self-hosted so the only cost is infrastructure and your time. Nothing is free at Firebase’s scale, though — Firebase is subsidised by Google in a way independent tools cannot match, and any comparison that ignores this is not being straight with you.

Can I run an alternative alongside Firebase?+

Yes, and it is the sensible way to evaluate one. The SDKs do not conflict. Run both for two weeks, compare the funnels and the event counts on your own traffic, and you will learn more than any comparison page can tell you — including this one.

Why does Firebase Analytics sample my data?+

Firebase applies sampling to high-volume and high-cardinality reporting to keep queries fast at Google scale. It is a reasonable engineering trade-off and a poor product one, because the reports become least reliable exactly when volume spikes and the decision matters most. Unsampled reporting is the single most common reason teams on this page move.

Do I lose my historical Firebase data if I switch?+

The data stays in Firebase and in BigQuery if you export there; it does not follow you. This is true of every migration in this category, which is why running both in parallel matters — you build the new history before you stop writing the old one.

What is the 500 event type limit?+

Firebase caps the number of distinct custom event names per app. It is a Firebase constraint rather than an industry one — Nohmo, PostHog, Mixpanel and Amplitude all place no such cap on event names, though several of them meter the volume of events instead.

The verdict

Stay on Firebase if free matters more than answers, or if Remote Config and BigQuery are load-bearing in your stack. Move when you find yourself writing SQL to answer a question a product analytics tool should simply have answered — and choose the destination by what pushed you: PostHog for breadth, Amplitude for depth, Countly for residency, Nohmo for a mobile team that wants the funnel and the crash in the same session.

Try Nohmo alongside Firebase Analytics

One npm package, one provider, and you are tracking analytics and errors — cookielessly. Nothing to remove while you evaluate.

No credit card required · $49/mo during early access (normally $79)

Crashlytics alternatives Mixpanel alternatives Amplitude alternatives Sentry alternatives Countly alternatives

Reflects our understanding of Firebase Analytics and the tools listed as of 2026. Third-party products change their features and pricing — check their own sites before deciding.