Featureflip vs PostHog
A focused flag platform with flat pricing and SSE streaming vs an all-in-one analytics suite that bills flags by the request. A 2026 comparison.
Last updated:
Featureflip and PostHog both manage feature flags, but they are different shapes of product. PostHog is an all-in-one product suite — analytics, session replay, feature flags, experiments, and surveys — billed by usage, with a generous free tier and built-in experiment analysis. Featureflip is a focused feature flag platform with flat monthly pricing, real-time SSE streaming, and a free Solo tier. Pick PostHog if you want one tool for your whole product-data stack, or you need statistical experiment analysis built in. Pick Featureflip if you already have analytics and want a focused flag tool with predictable flat pricing instead of per-request billing.
At a glance
Five-row summary. Detail in the sections below.
| Featureflip | PostHog | |
|---|---|---|
| Starting price | $0/mo Solo (cloud, free forever) | $0 — first 1M flag requests/mo free |
| Paid model | $39/mo annual Pro — flat, 10 users, unlimited evaluations | Usage-based — from $0.0001/request over 1M (volume discounts) |
| Product scope | Focused feature flag platform | All-in-one — analytics + session replay + flags + experiments + surveys |
| Built-in experiment analysis | No (delivery layer — bring your own analytics) | Yes (statistical significance + lift) |
| Real-time updates | SSE streaming, all plans | Polling — client fetch + ~30s server local-eval poll |
Pricing comparison
The biggest practical difference is the pricing model: Featureflip charges a flat monthly fee with unlimited evaluations, while PostHog bills feature flags per request after a generous free tier. Which one is cheaper depends almost entirely on whether your flags run server-side or client-side, and at what volume.
Featureflip pricing
As of June 15, 2026.
- Solo — $0/mo. 1 project, 10 flags, 2 environments, 1 user, 7-day audit log. Free forever.
- Pro — $49/mo ($39/mo annual). 10 projects, 10 team members, 5 environments, unlimited flags, 30-day audit log.
- Business — $149/mo ($119/mo annual). 25 projects, 25 team members, unlimited environments, unlimited flags, 90-day audit log.
- Enterprise — custom ([email protected]). Adds self-hosted deployment, SSO/SAML/SCIM, custom data retention, dedicated SLA.
No per-seat fees. No per-request fees. Unlimited evaluations on every plan. See the full pricing page.
PostHog pricing
As of June 15, 2026, sourced from posthog.com/pricing. We re-verify quarterly.
- Free — $0, no credit card. Includes the first 1 million feature flag requests/month, plus free tiers on the other products (events, session recordings, surveys). Experiments are billed together with feature flags.
- Pay-as-you-go — same 1M/month free, then usage-based per flag request: $0.0001 (1–2M), $0.000045 (2–10M), $0.000025 (10–50M), $0.00001 (50M+). Every other product is metered on its own usage axis. You can set per-product billing limits.
- Platform add-ons / Enterprise — SSO/SAML enforcement, advanced permissions, and audit controls are paid platform add-ons. PostHog is SOC 2 Type II compliant.
Worked example: server-side flags, under 1M requests/month
- PostHog: $0 — comfortably inside the 1M free tier, and server-side local evaluation doesn’t bill per flag check.
- Featureflip: Solo is free forever, or Pro at $39/mo annual for 10 seats.
At this profile, price is essentially a wash. The decision comes down to product scope (focused flags vs an analytics suite) and propagation model (SSE vs polling), not cost.
Worked example: client-side flags at scale, 10M requests/month
- PostHog: 1M free + 1M × $0.0001 ($100) + 8M × $0.000045 ($360) = ~$460/month for feature flags alone. Analytics and session replay, if you use them, are billed on top.
- Featureflip Business: $119/mo annual = $1,428/year, flat, unlimited evaluations, no request metering.
For client-heavy flag usage at scale, Featureflip is roughly 4× cheaper on flags — and the flat fee doesn’t climb as traffic grows.
Worked example: greenfield, no analytics yet
- PostHog: flags ride along with product analytics, session replay, experiments, and surveys — each with its own free tier. For a new product under those limits, you get the whole stack for $0.
- Featureflip: flags only ($0 Solo / $39 Pro). You add analytics separately (free GA4, or Amplitude/Mixpanel).
If you want one tool for the entire product-data stack and don’t already pay for analytics, PostHog’s bundle is the better deal. If you already run analytics, you’d be paying twice for overlapping capability.
Pricing TL;DR
- Want one tool for analytics + flags + experiments and you’re inside the free tiers — PostHog is hard to beat on bundled value.
- Run client-side flags at scale — Featureflip’s flat fee is dramatically cheaper than per-request billing, and it doesn’t grow with traffic.
- Already have analytics — paying PostHog for flags means a second analytics platform you may not need; a focused flat-priced tool is the cleaner spend.
Feature comparison
Verified against the Featureflip codebase and PostHog’s public documentation as of June 15, 2026. PostHog is the broader product; the rows that matter are scope, pricing model, and propagation, not raw feature count.
| Feature | Featureflip | PostHog |
|---|---|---|
| Core flags | ||
| Boolean flags | ✅ | ✅ |
| Multivariate flags (string, number, JSON) | ✅ | ✅ |
| Percentage rollouts | ✅ | ✅ |
| Sub-millisecond local evaluation | ✅ | ✅ (server SDKs) |
| Real-time updates | ✅ (SSE streaming, all plans) | ⚠️ (polling / reload) |
| Kill switches | ✅ | ✅ |
| Flag prerequisites / dependencies | ✅ | ✅ |
| Remote config (JSON payloads) | ✅ (JSON variations) | ✅ |
| Targeting | ||
| User targeting | ✅ | ✅ |
| Custom attributes / context fields | ✅ | ✅ (person / group properties) |
| Segments / cohorts | ✅ | ✅ (cohorts) |
| AND/OR condition groups | ✅ | ✅ (release condition sets) |
| Workflow | ||
| Multi-environment | ✅ (2 / 5 / unlimited by plan) | ✅ (projects / environments) |
| Audit log | ✅ (7d / 30d / 90d by plan) | ✅ (activity log; advanced via add-on) |
| Scheduled changes | ❌ | ✅ |
| Stale-flag detection / lifecycle | ✅ (auto Stale/Dead from evaluation traffic) | ⚠️ (flag usage / last-called stats) |
| Experimentation | ||
| A/B / multivariate variation assignment | ✅ | ✅ |
| Built-in experiment analysis (significance, lift) | ❌ (use external analytics) | ✅ |
| Exposure / experiment events | ✅ (events API) | ✅ (native) |
| Product scope | ||
| Product analytics | ❌ (by design — bring your own) | ✅ |
| Session replay | ❌ | ✅ |
| Surveys | ❌ | ✅ |
| Data warehouse / SQL | ❌ | ✅ |
| Open source & hosting | ||
| Open-source license | ❌ | ✅ (MIT, Docker Compose) |
| Supported self-hosting | ✅ (Enterprise) | ⚠️ (hobby only; not recommended for prod) |
| Hosted SaaS | ✅ | ✅ (Cloud — recommended) |
| Enterprise | ||
| SSO / SAML | ✅ (Enterprise) | ✅ (platform add-on) |
| Custom roles / RBAC | ✅ | ✅ (access controls; advanced via add-on) |
| SOC 2 Type II | ❌ (not yet) | ✅ |
| Pricing | ||
| Pricing model | Flat (unlimited evaluations) | Usage-based (per flag request) |
| Free hosted / cloud tier | ✅ (Solo, 10 flags) | ✅ (1M flag requests/mo) |
| Per-request billing | — (none) | ✅ (over 1M/mo) |
| Predictable flat cost | ✅ | ❌ (scales with usage) |
SDK and platform support
Both products cover the mainstream server and client surface. Featureflip ships JavaScript, Node.js, Python, .NET, Go, PHP, Ruby, Java, React, iOS, Android, Flutter, and a dedicated framework-agnostic Browser SDK. PostHog has the broader official catalogue — alongside the mainstream languages it adds Elixir, Rust, React Native, React Router, and Remix, and exposes flags through its analytics SDKs. Both evaluate flags locally in backend SDKs, so the server-side runtime model is similar.
If your stack uses Elixir or Rust today, PostHog has the wider coverage. For the mainstream server, React, and mobile surface — and for SSE streaming on every plan rather than polling — Featureflip is the better fit.
See the Featureflip SDK overview for the current supported list.
Where each tool wins
Honest is faster than balanced. Use whichever column matches your situation.
Pick PostHog when…
- You want one tool for the whole product-data stack. Analytics, session replay, flags, experiments, and surveys under one login and one bill — strongest for greenfield products with no analytics yet.
- You need built-in experiment analysis. PostHog computes statistical significance and lift natively. Featureflip assigns variations and emits exposure events, but leaves the stats to your analytics.
- Your flag usage is server-side or modest. Server-side local evaluation doesn’t bill per check, and 1M client requests a month are free, so flags effectively ride along free with the rest of PostHog.
- You want MIT-licensed source and the broadest SDK catalogue (Elixir, Rust, React Native, React Router, Remix).
- You’re product-led and already standardizing on PostHog for analytics — adding its flags is a marginal step, not a new vendor.
Pick Featureflip when…
- You already have analytics. If you run Amplitude, Mixpanel, Segment, or GA4, you don’t need a second analytics platform just to flip flags — a focused tool is the cleaner fit.
- You want flat, predictable pricing. No per-request metering that climbs with traffic and MAU. Client-side flags at scale are dramatically cheaper flat than per request.
- You want real-time SSE streaming on every plan. PostHog client SDKs fetch on load and server SDKs poll; Featureflip streams flag changes in near real time.
- You want a focused flag tool with a cleaner mental model and no analytics platform to learn, govern, or pay for.
- You’d rather not pipe product analytics and session recordings through a third party just to manage flags. Featureflip handles flags and nothing else.
- You want supported self-hosting. It’s available on Featureflip Enterprise; PostHog’s self-host is community-only and discouraged for production.
Can you use PostHog and Featureflip together?
Yes, and many teams do. They overlap only on flags; everywhere else they’re complementary.
Keep PostHog for product analytics, session replay, and experiment analysis. Use Featureflip as the flag-delivery layer — flat pricing, SSE streaming, and sub-millisecond local evaluation. Featureflip’s events API records exposure events you can forward to PostHog (or any warehouse) for experiment readouts, so you get PostHog’s statistical analysis without paying its per-request flag billing on high-traffic client flags. You take the part of each tool that’s strongest.
Moving flags off PostHog: concept mapping
If you’re consolidating flag management onto Featureflip, the core model translates cleanly.
| PostHog | Featureflip | Notes |
|---|---|---|
| Feature flag (boolean / multivariate) | Feature flag with boolean or multivariate variations | Boolean, string, number, or JSON variations on both sides |
| Release condition / property filter | Targeting rule / condition group | Re-express release condition sets as rules with AND/OR groups |
| Cohort | Segment | Static cohorts map directly; behavioural cohorts need explicit context fields |
| Rollout percentage | Percentage rollout | Deterministic-hash bucketing with sticky assignment on both sides |
| Experiment | Variation assignment + exposure events | Analysis stays in PostHog or your analytics; Featureflip delivers the split |
| Remote config payload | JSON variation | Serve structured config as a JSON variation value |
Things to plan for
- Polling / reload to SSE streaming. Featureflip SDKs receive updates over Server-Sent Events rather than polling or reloading. It’s a net simplification; expect a small change at SDK init, not a rewrite.
- Experiment analysis stays where your data lives. Featureflip assigns variations and emits exposure events; it doesn’t compute significance. Keep PostHog (or your analytics) for the statistical readout.
- Identity model. PostHog ties flags to its person and group model. Featureflip uses an explicit user context you pass to the SDK at evaluation time — usually a cleaner, more portable boundary, but it’s an intentional change.
- No public flag-management API. If you script flag changes against PostHog’s API, note that Featureflip has no public flag-management API. Replace scripted flips with dashboard changes plus RBAC and audit-log review.
Frequently asked questions
- Is PostHog’s feature flag product free?
- Yes for the first 1 million feature flag requests per month. The Free plan needs no credit card, and the same free volume is included on Pay-as-you-go. Beyond it, PostHog bills per request on a sliding scale: $0.0001 from 1–2M, $0.000045 from 2–10M, $0.000025 from 10–50M, and $0.00001 above 50M. Experiments (A/B testing) are billed together with feature flags, not separately. One nuance: server-side local evaluation evaluates from cached flag definitions and does not bill per flag check, so server-only flag usage often stays inside the free tier indefinitely. Client-side flags consume a request per load, which is where request volume adds up.
- Is Featureflip cheaper than PostHog?
- It depends on how you use flags. For server-side flags under roughly 1 million requests per month, both are effectively free. For client-side flags at scale, Featureflip’s flat pricing is much cheaper: about 10 million flag requests per month costs roughly $460/month on PostHog for flags alone, versus Featureflip Business at $119/month annual, flat, with unlimited evaluations. The exception is bundle value — if you have no analytics yet and want product analytics, session replay, experiments, and flags together, PostHog’s free tiers across all of those make it the cheaper way to get the whole stack.
- Should I use PostHog or Featureflip for feature flags?
- If you want one tool for your whole product-data stack — analytics, session replay, flags, experiments, surveys — or you need built-in experiment statistics, PostHog is the stronger fit, especially greenfield. If you already have analytics (Amplitude, Mixpanel, Segment, GA4) and want a focused flag tool with flat, predictable pricing and real-time SSE streaming, Featureflip is the better fit. The deciding question is usually whether you want to adopt a second analytics platform at all just to manage flags.
- Does PostHog do A/B testing and experiments that Featureflip doesn’t?
- Yes — this is a genuine PostHog strength. PostHog ships built-in experiments with statistical significance and lift, computed from its own product analytics. Featureflip handles the delivery side of experiments — sticky variation assignment and exposure events via the events API — and leaves the statistical measurement to your analytics stack. If you want the analysis built in, pick PostHog. If you already measure results in Amplitude, Mixpanel, or your warehouse, Featureflip plugs into that flow without a second analytics bill.
- Does Featureflip update flags in real time like PostHog?
- Featureflip pushes flag changes over Server-Sent Events (SSE) on every plan, so SDKs update in near real time without polling. PostHog client SDKs fetch flags on load, and PostHog server SDKs poll flag definitions in the background (every ~30 seconds, or 5 minutes in the Go SDK), so propagation is poll-bound rather than streamed. If near-instant flag changes without a polling interval matter, Featureflip is the better fit.
- Is PostHog open source and self-hostable?
- PostHog’s main repository is MIT-licensed and there is a Docker Compose self-host, but PostHog discourages self-hosting for production: it offers no support or guarantees for self-hosted instances, new Kubernetes deployments are no longer supported, and paid features are Cloud-only. PostHog Cloud is the recommended path for any real workload. Featureflip is closed-source SaaS; supported self-hosting is available on the Enterprise plan. So the open-source label favours PostHog, but supported self-hosting actually favours Featureflip.
Ready to try Featureflip?
Start free on the Solo plan — 10 flags, 2 environments, no credit card.
Related
Featureflip vs LaunchDarkly
The other all-in-one platform comparison — a bundled experimentation suite vs a focused, flat-rate flag tool.
Featureflip vs Unleash
Another open-source option — AGPL self-host and per-seat cloud vs hosted flat pricing and SSE streaming.
Best LaunchDarkly alternatives
Also weighing the move off LaunchDarkly? Six platforms compared on pricing, fit, and migration, with a cost-at-scale table.
Featureflip pricing
$0 / $49 / $149 per month, flat. The plan details and FAQ behind the comparison.
Methodology: All PostHog information was sourced from public documentation (pricing, feature flags docs, self-host docs) as of June 15, 2026. We re-verify pricing and feature claims quarterly. Featureflip is our product. Comparison reflects publicly stated capabilities; specific entitlements may vary by plan and contract.
Published by Canopy Labs LLC.