Featureflip vs GrowthBook
A focused flag platform with flat pricing and SSE streaming vs an open-source, warehouse-native experimentation suite. A 2026 comparison.
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Featureflip and GrowthBook both manage feature flags, but they solve different problems. GrowthBook is an open-source experimentation platform covering feature flags, A/B testing, and product analytics, built around a warehouse-native statistics engine that computes results on your own data. Featureflip is a focused feature flag platform with flat monthly pricing, real-time SSE streaming, and a free plan. Pick GrowthBook if experimentation is central and you want a rigorous, free stats engine running on your own warehouse. Pick Featureflip if you want a focused flag tool with predictable flat pricing and streaming, and you already measure results in your own analytics.
At a glance
Five-row summary. Detail in the sections below.
| Featureflip | GrowthBook | |
|---|---|---|
| Starting price | $0/mo Free (cloud, free forever) | $0, Cloud Starter (≤3 users) or free OSS self-host |
| Paid model | $39/mo annual Team: flat, 5 users, unlimited evaluations | $40/seat/mo Cloud Pro, one seat per user |
| Product scope | Focused feature flag platform | Experimentation suite: flags + experiments + product analytics, warehouse-native |
| Built-in experiment analysis | No (delivery layer, bring your own analytics) | Yes (Bayesian + frequentist stats engine) |
| Real-time updates | SSE streaming, all plans, no proxy | SSE on Cloud, or self-host + run the GrowthBook Proxy |
Pricing comparison
The biggest practical difference is the pricing model: Featureflip charges a flat monthly fee with unlimited evaluations, while GrowthBook Cloud charges per user seat, or is free if you self-host the open-source edition and run the operations yourself. Which one is cheaper depends almost entirely on whether you want hosted flags for a team or a self-operated experimentation stack.
Featureflip pricing
As of October 8, 2026.
- Free: $0/mo. 1 project, 10 flags per project, 2 environments, up to 3 team members, 7-day audit log. Free forever.
- Team: $49/mo ($39/mo annual). 3 projects, up to 5 team members, 3 environments, unlimited flags, scheduled changes, 30-day audit log.
- Pro: $99/mo ($79/mo annual). 10 projects, up to 10 team members, 5 environments, unlimited flags, scheduled changes, flag owners, 30-day audit log.
- Business: $249/mo ($199/mo annual). 25 projects, up to 25 team members, unlimited environments, unlimited flags, scheduled changes, flag owners, SSO with your own identity provider (OIDC), 90-day audit log.
- Enterprise: custom (sales@featureflip.io). Adds self-hosted deployment, SAML/SCIM SSO, custom data retention, dedicated SLA.
No per-seat fees. No per-request fees. Unlimited evaluations on every plan. Google and GitHub sign-in are included on every plan, including Free. Business adds single sign-on through your own identity provider over OIDC, and Enterprise adds SAML/SCIM. See the full pricing page, or read why flat pricing beats per-seat billing as your team grows.
GrowthBook pricing
As of October 8, 2026, sourced from growthbook.io/pricing. We re-verify quarterly.
- Starter (Cloud): $0, no credit card. Up to 3 users on 1 project, unlimited flags and experiments, a managed warehouse, and CDN limits (1M requests, 5GB bandwidth).
- Pro (Cloud): $40/seat/month, up to 30 users and 3 projects. Adds advanced statistics (CUPED, sequential testing, multi-arm bandits), the visual A/B editor, sticky bucketing, safe rollouts, Product Analytics, and a 2M-events/month warehouse.
- Enterprise (Cloud): custom, contact sales. Adds OIDC/SAML SSO, custom roles, data pipelines, advanced prerequisites, approval flows, exportable audit logs, and a 99.99% SLA.
- Open Source (self-hosted): $0, unlimited users on 1 project. Unlimited flags, experiments, and traffic, with warehouse-native support and community support. You operate the app, the proxy, and your warehouse.
Estimate your own GrowthBook bill
Enter how many people need a GrowthBook login to see what Cloud costs at $40 a seat, against Featureflip's flat price. The first three seats are free on Starter.
GrowthBook Pro (Cloud)
$2,400
per year, estimated
Featureflip Team
$468
per year, flat. No usage-based fees on Cloud seats.
At this usage, GrowthBook Pro (Cloud) runs about $2,400/year, roughly $1,932/year more than Featureflip Team at a flat $468. GrowthBook's bill climbs with your usage. Featureflip's changes only when you move to another plan.
GrowthBook rates sourced from growthbook.io/pricing, checked October 8, 2026. Estimate covers Pro (Cloud) Cloud seats only; it excludes the free self-hosted open-source edition (no license fee but you run the app, the proxy, and your warehouse), CDN overage on Pro ($10 per million requests past 2 million, $1 per GB past 20GB), managed-warehouse events past the first 2 million ($0.03 per 1,000), quote-only Enterprise terms (SAML or OIDC SSO, SCIM, custom roles, approval flows, a 99.99% SLA). Above 30 users, GrowthBook Cloud moves to quote-only Enterprise, so this estimate stops rather than extrapolating the seat rate. Featureflip's side is the cheapest plan whose team-member and project limits fit these numbers.
Prefer a dedicated tool? Use the full GrowthBook cost calculator.
Worked example: a growing team that just wants flags (hosted)
- GrowthBook Cloud Pro: 5 editors × $40/seat = $200/month, climbing $40 with every editor you add.
- Featureflip Team: $39/month annual, flat, for up to 5 users and unlimited evaluations.
For a flag-only team on a hosted plan, Featureflip Team is roughly 5× cheaper at five seats, and it doesn’t charge per editor up to that ceiling. Need more room? Pro is $79/month annual for up to 10 users. GrowthBook’s free Starter covers up to three users, so the cost only really shows up once you outgrow it.
Worked example: self-hosting for free
- GrowthBook OSS: $0 in license, with unlimited users. You run the application, the GrowthBook Proxy (for SSE streaming and caching), and ideally connect a data warehouse for experiment analysis.
- Featureflip: Free is $0 hosted with zero ops, or Team at $39/month annual for up to 5 seats. Supported self-hosting is available on Enterprise.
If you want a free, fully owned stack and have the operational appetite, GrowthBook’s open-source edition is unbeatable on license cost. You trade subscription spend for the work of running the app, the proxy, and a warehouse.
Worked example: a serious experimentation program with a warehouse
- GrowthBook: the statistics engine (Bayesian + frequentist, CUPED, sequential testing, bandits) runs directly on your Snowflake, BigQuery, Redshift, or Databricks data. Comparable capability elsewhere costs thousands.
- Featureflip: assigns variations and emits exposure events, then hands measurement to your analytics or warehouse. It doesn’t compute significance.
This is the profile where GrowthBook is genuinely the better tool, and Featureflip has no statistics engine to compete with it. If experiments are central and your data already lives in a warehouse, GrowthBook’s analysis is the draw.
Pricing TL;DR
- Want a free, rigorous experiment-analysis engine on your own warehouse: GrowthBook is excellent value, and Featureflip offers no equivalent.
- Just want hosted feature flags for a growing team: Featureflip’s flat fee beats per-seat pricing that climbs with every editor.
- Want hosted flags with zero ops: Featureflip needs no app, proxy, or warehouse to run. GrowthBook self-host does.
Feature comparison
Verified against the Featureflip codebase and GrowthBook’s public documentation as of October 8, 2026. GrowthBook is the broader product. Compare scope, pricing model, experimentation depth, and propagation. Raw feature count tells you little.
| Feature | Featureflip | GrowthBook |
|---|---|---|
| Core flags | ||
| Boolean flags | ✅ | ✅ |
| Multivariate flags (string, number, JSON) | ✅ | ✅ |
| Percentage rollouts | ✅ | ✅ |
| Local SDK evaluation | ✅ (sub-millisecond) | ⚠️ (local eval, no published latency figure) |
| Real-time updates | ✅ (SSE streaming, all plans) | ⚠️ (SSE on Cloud or via the proxy) |
| Kill switches | ✅ | ✅ |
| Flag prerequisites / dependencies | ✅ | ⚠️ (Pro and up, advanced on Enterprise) |
| Remote config (JSON payloads) | ✅ (JSON variations) | ✅ |
| Targeting | ||
| User targeting | ✅ | ✅ |
| Custom attributes / context fields | ✅ | ✅ (targeting attributes) |
| Segments / saved groups | ✅ | ✅ (saved groups) |
| AND/OR condition groups | ✅ | ✅ |
| Workflow | ||
| Multi-environment | ✅ (2 / 3 / 5 / unlimited by plan) | ✅ |
| Audit log | ✅ (7d / 30d / 90d by plan) | ⚠️ (exportable logs Enterprise-only) |
| Scheduled / ramp changes | ✅ (paid plans) | ✅ (ramp schedules Enterprise, scheduled flags from Pro) |
| Stale-flag detection / lifecycle | ✅ (auto Stale/Dead from evaluation traffic, plus expiry dates, and cleanup notice emails on Team and above) | ✅ (automatic stale detection on all plans, code references from Pro) |
| AI agent flag management (MCP server) | ✅ | ✅ |
| OpenFeature provider | ✅ (Node.js, .NET, Python, Go, Java, PHP, Ruby) | ✅ (Java, Python, Go, .NET, JavaScript for Node.js and web) |
| Removes the dead code by pull request | ✅ (one PR per flag, 13 languages, archives the flag on merge) | ⚠️ (via MCP and your AI agent) |
| Experimentation & analytics | ||
| A/B / multivariate variation assignment | ✅ | ✅ |
| Built-in experiment analysis (significance, lift) | ❌ (use external analytics) | ✅ (Bayesian + frequentist) |
| Advanced stats (CUPED, sequential, bandits) | ❌ | ✅ (Pro) |
| Warehouse-native analysis | ❌ | ✅ (BigQuery, Snowflake, Redshift…) |
| Product analytics | ❌ (by design, bring your own) | ✅ (Pro) |
| Exposure / experiment events | ✅ (events API) | ✅ (native) |
| Open source & hosting | ||
| Open-source license | ❌ | ✅ (MIT core, some Enterprise dirs) |
| Self-hosting | ✅ (Enterprise, supported) | ✅ (free OSS, self-operated) |
| Hosted SaaS / cloud | ✅ | ✅ (GrowthBook Cloud) |
| Zero-ops hosted (no proxy / warehouse to run) | ✅ | ✅ (streaming and a managed warehouse on every Cloud plan) |
| Enterprise | ||
| Google sign-in | ✅ (plus GitHub, every plan including Free) | ✅ (Starter and Pro) |
| SSO with your identity provider / SAML | ✅ (OIDC on Business, SAML/SCIM on Enterprise) | ✅ (OIDC/SAML and SCIM on Enterprise) |
| Custom roles / RBAC | ✅ | ✅ (advanced permissioning Pro and up, custom roles Enterprise) |
| Pricing | ||
| Pricing model | Flat (unlimited evaluations) | Per-seat (Cloud) or free OSS |
| Free hosted / cloud tier | ✅ (Free, up to 3 people, 10 flags) | ✅ (Starter, ≤3 users) |
| Per-seat billing | None | ✅ ($40/seat/mo on Cloud) |
| Predictable flat cost | ✅ | ⚠️ (flat only when self-hosting) |
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, a dedicated framework-agnostic Browser SDK, and OpenFeature providers for Node.js, .NET, Python, Go, Java, PHP and Ruby. GrowthBook has the broader official catalog. Alongside the mainstream languages it adds Elixir, Rust, React Native, and edge SDKs for Cloudflare Workers, Fastly, and Lambda@Edge. Its OpenFeature providers cover five of those seven languages (all but PHP and Ruby), plus a browser provider. Both evaluate flags locally in backend SDKs, so the server-side runtime model is similar.
If you need edge SDKs, Elixir, or Rust today, GrowthBook has the wider coverage. For the mainstream server, React, and mobile surface, with OpenFeature providers for Node.js, .NET, Python, Go, Java, PHP and Ruby and SSE streaming on every plan without standing up a proxy, Featureflip is the simpler fit.
See the Featureflip SDK overview for the current supported list.
Where each tool wins
Read the column that fits how your team works. The other one is there for contrast.
Pick GrowthBook when…
- Experimentation is central. You run A/B tests regularly and want a rigorous statistics engine that does more than assign variations. Bayesian and frequentist analysis come with every plan, free ones included, and CUPED, sequential testing, and multi-arm bandits are on Cloud Pro (Enterprise when self-hosted).
- You want warehouse-native analysis. GrowthBook computes results directly on your Snowflake, BigQuery, Redshift, or Databricks data, so you keep data ownership and don’t ship events to a third party.
- You want open source you can self-host. An MIT-core codebase, unlimited self-hosted seats, and an active community fit teams that want to own the stack.
- You want flags, experiments, and product analytics in one tool. Flags, experiments, and analytics share one tool, which suits an experimentation-led org.
- You already run a data warehouse. That’s where GrowthBook’s differentiator lives, and where it’s strongest.
Pick Featureflip when…
- You want a flag tool without the experimentation platform. It has a simpler mental model and no stats engine, metrics, or warehouse to learn and govern.
- You want flat, predictable pricing. No per-seat fee that climbs as your editor team grows. Unlimited evaluations on every plan.
- You want real-time SSE streaming with nothing to operate. No GrowthBook Proxy to deploy. Streaming is on by default on every plan.
- You want flag cleanup to run unattended. Featureflip's cleanup Action runs on your schedule in CI and opens a pull request for each finished flag, in any of 13 languages. It uses AST transforms and no LLM, so the diff you review is the one you would get on a rerun. The flag is archived once the removal ships.
- You already measure results in your analytics. If experiments land in Amplitude, Mixpanel, GA4, or your warehouse, you don’t need a second platform just to flip flags.
- You want hosted flags with zero ops. No app, proxy, or warehouse to run. Free is free forever, and supported self-hosting is available on Enterprise.
Can you use GrowthBook and Featureflip together?
Yes, and it’s a natural split. They overlap only on flag delivery. GrowthBook’s analysis and Featureflip’s delivery are complementary.
Keep GrowthBook for warehouse-native experiment analysis. Use Featureflip as the flag-delivery layer. It brings flat pricing, SSE streaming, and sub-millisecond local evaluation, with no proxy to operate. Featureflip assigns variations and emits exposure events through its events API. Route those into your warehouse and let GrowthBook compute significance on them. You get GrowthBook’s statistics on your own data without running GrowthBook’s flag-delivery and proxy infrastructure.
Moving flags off GrowthBook: concept mapping
If you’re consolidating flag management onto Featureflip, the core model translates cleanly.
| GrowthBook | Featureflip | Notes |
|---|---|---|
| Feature (boolean / multivariate) | Feature flag with boolean or multivariate variations | Boolean, string, number, or JSON variations on both sides |
| Attribute targeting / condition | Targeting rule / condition group | Re-express attribute conditions as rules with AND/OR groups |
| Saved group | Segment | Static saved groups map directly to reusable segments |
| Rollout / namespace | Percentage rollout | Deterministic-hash bucketing with sticky assignment on both sides |
| Experiment | Variation assignment + exposure events | Analysis stays in GrowthBook or your warehouse. Featureflip delivers the split |
| Remote config value | JSON variation | Serve structured config as a JSON variation value |
Things to plan for
- Self-host plus proxy to hosted SSE. If you ran the GrowthBook app and the Proxy for streaming, Featureflip removes both. Streaming is hosted and on by default. Expect a small change at SDK init.
- Experiment analysis stays where your data lives. Featureflip assigns variations and emits exposure events. It doesn’t compute significance. Keep GrowthBook (or your warehouse and analytics) for the statistical readout.
- Per-seat to flat. Cloud GrowthBook bills a seat for every user, while Featureflip charges one flat price per plan. Your budgeting shifts from “per person” to “per tier.”
- Attribute model. Both pass user attributes to the SDK at evaluation time, so targeting translates cleanly. Just re-declare the attributes you target on.
- Scripted flag changes port over. If you script flag changes against GrowthBook’s API, Featureflip’s Management API covers the same ground: flag CRUD, per-environment toggles, targeting rules, and segments over REST, with idempotent creates and every change recorded in the audit log.
Frequently asked questions
- Is GrowthBook free?
- Yes, in two ways. GrowthBook Cloud has a free Starter plan for up to 3 users with unlimited flags and experiments and a managed warehouse. Separately, the open-source edition is free to self-host with unlimited users. Its core is MIT-licensed, with a few Enterprise-only directories. Paid GrowthBook Cloud is the Pro plan at $40 per seat per month (up to 30 users), and Enterprise is contact-sales. Governance features like OIDC/SAML SSO, exportable audit logs, and approval flows are Enterprise-only.
- Is Featureflip cheaper than GrowthBook?
- It depends on how you run it. For a growing team that just wants feature flags on a hosted plan, Featureflip is usually cheaper: Team is a flat $39/month annual for up to 5 users with unlimited evaluations, while GrowthBook Cloud Pro is $40 per seat per month, so a five-editor team is roughly $200/month, and the gap widens as you add seats. For a team that wants a free open-source experimentation stack and is willing to run the operations, GrowthBook’s self-hosted edition is unbeatable on license cost: you pay in ops and infrastructure instead of subscription.
- Should I use GrowthBook or Featureflip?
- If experimentation is central to how you work (you run A/B tests regularly and want a rigorous statistics engine computing results on your own data warehouse), GrowthBook is the stronger fit. If you want a focused flag tool with flat, predictable pricing and real-time SSE streaming, and you already measure results in your existing analytics, Featureflip is the better fit. The deciding question is usually whether you want to adopt an experimentation platform (and ideally a data warehouse) at all just to manage flags.
- Does GrowthBook do A/B testing and experiment analysis that Featureflip doesn’t?
- Yes, this is GrowthBook’s core strength. It ships a warehouse-native statistics engine with both Bayesian and frequentist methods, plus CUPED variance reduction, sequential testing, multi-arm bandits, and sample-ratio-mismatch checks, computed directly on your Snowflake, BigQuery, Redshift, or Databricks data. Featureflip handles the delivery side of experiments (sticky variation assignment and exposure events through its events API) and leaves the statistical measurement to your analytics stack or warehouse. If you want the analysis built in, pick GrowthBook. If you already measure results elsewhere, Featureflip plugs into that flow without a second platform to learn.
- Does Featureflip stream flag updates in real time like GrowthBook?
- Featureflip pushes flag changes over Server-Sent Events (SSE) on every plan, with nothing extra to run, so SDKs update in near real time without polling. GrowthBook supports SSE streaming too, but only on GrowthBook Cloud or if you deploy and operate the self-hosted GrowthBook Proxy. A plain self-host without the proxy does not stream. If you want real-time flag updates without standing up a proxy, Featureflip is simpler.
- Is GrowthBook open source and self-hostable?
- Yes. GrowthBook's core is MIT-licensed with a few Enterprise-only directories, and you can self-host the open-source edition for free with unlimited users. That edition is limited to 1 project and leaves out Enterprise features such as CUPED, bandits, SSO, and approval flows. The trade-off is operations: you run the app, the GrowthBook Proxy for streaming and caching, and ideally connect a data warehouse for experiment analysis. Featureflip is closed-source hosted SaaS, with supported self-hosting available on the Enterprise plan. So the open-source label clearly favors GrowthBook. The zero-ops hosted experience favors Featureflip.
Ready to try Featureflip?
Start free on the Free plan: 10 flags, 2 environments, no credit card. Paid plans use flat pricing with no per-seat fees.
Related
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The other big-platform comparison: flat pricing vs LaunchDarkly's bundled, per-MAU release platform.
Featureflip vs PostHog
The other experimentation-suite comparison: a usage-billed analytics bundle 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.
Comparing several vendors?
The alternatives guides weigh six platforms side by side: GrowthBook, PostHog, Unleash, and the rest.
Featureflip pricing
$0 / $49 / $99 / $249 per month, flat. The plan details and FAQ behind the comparison.
Methodology: All GrowthBook information was sourced from public materials (pricing, feature flags, docs, and the GitHub repository) as of October 8, 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.