Most developer teams don't need a product analytics platform. They need feature flags that work reliably, are simple to set up, and don't surprise them with a four-figure bill when they add a second app. Supaship is built exactly for that: focused feature flagging with clean SDKs, transparent pricing, and a developer experience purpose-built for modern JavaScript stacks.

Statsig is a full product development platform - experimentation, analytics, session replays, and feature flags all bundled together. That breadth is valuable for a specific kind of team. For everyone else, it means paying for complexity you'll never use.

This article breaks down where the two platforms differ, so you can judge for yourself.

Quick comparison

Pricing: simpler than it looks - until it isn't

Statsig's pricing model

Statsig's free Developer tier is generous: 2 million metered events per month, unlimited seats, and full access to feature flags, experimentation, and analytics. It sounds straightforward, but "metered events" has a specific definition that catches teams off guard.

Not all flag evaluations are metered. According to Statsig's own documentation:

Feature flags that have been disabled (fully shipped or abandoned with no rule evaluation) do not generate metered events. By default, customers are not charged for exposures associated with 0% or 100% roll-outs.

What does count as a metered event: partial rollout exposures (when Metric Lifts is enabled), custom metrics, log events, and ingested metrics. This means your bill depends on how many flags are in partial rollout at any given time - a moving target that's hard to predict month to month.

When you outgrow the free tier, Statsig Pro is $150/month with 5M events included, then $0.05 per 1,000 events in overage. That sounds reasonable until you notice the critical detail: the $150 plan covers one project. If you run multiple apps or environments under separate projects, each project needs its own subscription.

A team with three projects - main app, admin panel, and a marketing site - is looking at $450/month before sending a single overage event.

At high volume, the math gets steep. A product generating 50M metered events in a month:

$150 (base) + ((50M - 5M) / 1,000 × $0.05)
= $150 + (45,000 × $0.05)
= $150 + $2,250
= $2,400/month

That's for feature flags and analytics on a moderately active app.

Supaship's pricing model

Supaship uses a single metric: one flag evaluation = one event. No metered vs unmetered distinction, no partial rollout conditions, no per-project charges.

• Free forever: 1 million events/month, unlimited team members, unlimited projects. 1M events is enough to cover a production app with hundreds of daily active users evaluating flags on every page load - most teams stay on the free tier for months before needing to upgrade.
• Pro: $30/month for your entire workspace with unlimited projects - 3 million events included, then $0.03 per 1,000 events

One workspace. One price. All projects. Let's see what that means in practice:

Three-project team at 50M events/month:

Supaship is nearly half the price at scale - and that gap only widens as you add more projects.

The pricing verdict

If your usage stays in the free tiers, both platforms cost nothing. The gap opens in two ways when you scale: Statsig charges per project (multiplying costs by your number of apps) and uses a complex metered event definition that's hard to predict. Supaship charges one simple rate - $30/month workspace - and the only variable is your actual flag evaluation volume.

Developer experience

SDK complexity

Statsig has 30+ SDKs covering virtually every language and runtime. The breadth is a genuine advantage for polyglot teams. The tradeoff is that Statsig is a large platform - its SDK carries the surface area of feature flags, experimentation, and analytics together, and the initialisation reflects that.

// Statsig React SDK setup
import { StatsigProvider } from '@statsig/react-bindings'
import { StatsigClient } from '@statsig/js-client'

const client = new StatsigClient(STATSIG_CLIENT_KEY, { userID: 'user-123' })
await client.initializeAsync()

function App() {
  return (
    <StatsigProvider client={client}>
      <YourApp />
    </StatsigProvider>
  )
}

Supaship's native SDKs are purpose-built for the JavaScript ecosystem. They're lightweight, async-first, and carry no analytics surface area - just feature flags. For non-JS environments (Python, Go, Ruby, etc.), Supaship exposes a straightforward REST API - a simple HTTP call returns your flag evaluations for a given user context, no SDK required:

// Supaship React SDK setup
import { SupaProvider, FeaturesWithFallbacks, InferFeatures } from '@supashiphq/react-sdk'

const FEATURE_FLAGS = {
  'new-dashboard': false,
  'theme-config': { mode: 'light' as 'light' | 'dark' },
} satisfies FeaturesWithFallbacks

declare module '@supashiphq/react-sdk' {
  interface Features extends InferFeatures<typeof FEATURE_FLAGS> {}
}

function App() {
  return (
    <SupaProvider config={{ apiKey: '...', environment: 'production', features: FEATURE_FLAGS }}>
      <YourApp />
    </SupaProvider>
  )
}

# Supaship REST API - works from any language
import httpx

response = httpx.post(
    "https://edge.supaship.com/v1/features",
    json={
        "apiKey": "YOUR_API_KEY",
        "environment": "production",
        "features": ["new-dashboard", "theme-config"],
        "context": {
            "userId": "user-123",
            "email": "user@example.com",
        },
    },
)
flags = response.json()  # { "new-dashboard": True, "theme-config": { "mode": "dark" } }

TypeScript type safety

This is where Supaship has a clear edge. Statsig's TypeScript SDK returns boolean, string, number, or object depending on the flag type - you cast the result yourself at the call site.

// Statsig  -  return types are not inferred from your flag definitions
const showNewDashboard = statsigClient.checkGate('new-dashboard') // boolean
const theme = statsigClient.getConfig('theme-config').get('mode', 'light') // any

Supaship's satisfies FeaturesWithFallbacks pattern defines all flags once and propagates their exact types everywhere:

// Supaship  -  TypeScript infers the exact return type of every flag
const { feature: newDashboard } = useFeature('new-dashboard') // ComputedRef<boolean>
const { feature: theme } = useFeature('theme-config') // ComputedRef<{ mode: 'light' | 'dark' }>

// TypeScript compile error if you mistype a flag name
const { feature } = useFeature('new-dashbord') // ❌ Property does not exist

Renaming or removing a flag from your definitions surfaces every usage as a compile error. That's a meaningful safety guarantee when you're cleaning up stale flags across a large codebase.

Next.js App Router support

Statsig has Next.js support, but it was designed before the App Router era. Bootstrapping flags in Server Components or Edge Middleware requires manual configuration.

Supaship's SDKs were built with the App Router in mind. Server Component evaluation, Edge Middleware rewrites, and the hydration-safe server-to-client prop pattern all have explicit first-class support - no workarounds needed:

// Supaship  -  native Server Component support
import { createClient } from '@supashiphq/js-sdk'

const client = createClient({ apiKey: process.env.SUPASHIP_API_KEY!, environment: 'production' })

export default async function Page() {
  const features = await client.getFeatures(['new-hero', 'show-banner'])
  return features['new-hero'] ? <NewHero /> : <LegacyHero />
}

See the full Next.js guide for Server Components, Middleware, and avoiding hydration mismatches.

When Statsig makes sense (and when it doesn't)

Statsig is not a bad product. It's a different product - a full product development platform that happens to include feature flags alongside experimentation, analytics, and session replays. For most teams, that's the problem: you end up paying for and managing a platform far larger than you need.

There are specific situations where Statsig's breadth is a genuine fit:

You need advanced A/B experimentation as your primary workflow - Statsig has a serious stats engine: Bayesian and frequentist analysis, CUPED variance reduction, multi-arm bandits, sequential testing. If your team has a dedicated data science function and A/B testing is a core product discipline (not just occasional flag-based rollouts), Statsig's experimentation suite is purpose-built for that. This applies to a minority of teams.

You have no existing analytics tool and want a single vendor - Statsig bundles funnels, retention, user journeys, and cohorts. If you're starting from scratch and want everything under one roof, the bundling has value. Most teams already have Mixpanel, Amplitude, PostHog, or similar - in which case Statsig's analytics are redundant, and you'd be paying for overlap.

Your entire stack is non-JavaScript and you need native SDK integrations - Statsig has purpose-built SDKs for Go, Python, Java, Ruby, .NET, iOS, and Android. Supaship's native SDKs target the JavaScript ecosystem, but its REST API works from any language - a single HTTP call returns flag evaluations for a given user context with no SDK install required. For most mixed stacks, the REST API covers non-JS services without needing to switch platforms. The native SDK gap only matters if you specifically need the streaming SDK experience in a non-JS runtime.

You have strict warehouse-native data governance requirements - Enterprise teams with data residency mandates can run Statsig inside their own data warehouse. This is a niche compliance requirement, not a feature flag concern.

For any team that doesn't fit these specific profiles, Statsig's size is overhead, not value.

Why Supaship is the better choice for most developer teams

Statsig's power comes with real tradeoffs. Here's why Supaship wins for teams focused on feature flags:

You're not paying for a platform you won't use. Statsig bundles analytics, session replays, and experimentation whether you need them or not. If you want controlled rollouts and user targeting - not a product analytics suite - you're paying for capability you'll never touch. And you're paying per project, so that cost multiplies.

The best price of any managed feature flag platform. $30/month for your entire workspace, covering all projects, all team members, all flags. No other managed platform comes close at this price point. A comparable Statsig setup for three projects starts at $450/month before a single overage event.

Fastest SDK setup in the market. pnpm add @supashiphq/react-sdk, define your flags, done. Most teams have their first flag live in under 5 minutes. The SDK is intentionally minimal and the API is consistent across React, Vue, Next.js, and Node.js - there's nothing new to learn as you add frameworks.

Better TypeScript and modern JS ergonomics. Supaship's type-safe SDK design gives your IDE full knowledge of every flag name and return type. Typos are caught at compile time. Stale flag cleanup guided by the TypeScript compiler.

First-class Next.js App Router support. Server Components, Edge Middleware, Suspense - Supaship is built for how Next.js apps work in 2026.

Focus. Supaship does one thing: feature flags. That focus means the APIs are cleaner, the docs are shorter, and setup is measured in minutes rather than an afternoon.

Who should choose what

Choose Statsig if:

• A/B experimentation with statistical rigour (CUPED, multi-arm bandits, sequential testing) is a core product discipline at your company - not just occasional rollouts
• You have no existing analytics tool and want Statsig to serve as your combined analytics + flags platform
• Your stack is entirely non-JavaScript (Go, Python, Java, native mobile) and you need native SDK integrations rather than REST API calls
• You have strict enterprise data governance requirements that mandate warehouse-native deployment

Choose Supaship if:

• Your stack is JavaScript or TypeScript - web, React, Next.js, Vue, or Node.js
• You want the best feature flag developer experience: full TypeScript type inference, first-class Next.js App Router support, and a consistent API across every JS framework
• You want feature flags in production in under 5 minutes, not an afternoon
• You already use Mixpanel, Amplitude, PostHog, or another analytics tool - no reason to pay for a second one bundled into your flag platform
• You want predictable, workspace-level pricing with no per-project multipliers or surprise overage math
• You want a focused tool maintained by a team obsessed with feature flags, not a sprawling platform where flags are one tab among many

Migrating from Statsig to Supaship

If you're using Statsig primarily for feature flags and want to simplify, the migration is straightforward. The core concepts (flags, environments, percentage rollouts, user targeting) map directly between platforms.

1. Create matching flags in Supaship with the same targeting rules
2. Install @supashiphq/react-sdk (or the relevant SDK for your stack)
3. Replace statsigClient.checkGate calls with useFeature / getFeature
4. Run both SDKs in parallel during the transition to verify flag parity
5. Remove the Statsig SDK once all flags are verified

Supaship's free tier (1M events/month) gives you room to run both platforms side-by-side during the transition at no extra cost.

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Ready to try Supaship? Sign up for free - 1 million events/month, unlimited projects, no credit card required. Pro plan is $30/month for your entire workspace - the best price of any managed feature flag platform.

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