A GrowthBook Alternative With Approvals On a Self-Serve Plan
GrowthBook is an open-source platform built around flags and experimentation together, with one of the larger open-source communities in this category. Its approval flows - requiring review before a flag change publishes - are an Enterprise-license feature. Featureflow's release pipelines and approval workflows are on the self-serve Business plan at a flat $399/month, no license negotiation required.
GrowthBook is a strong choice if experimentation is the primary need and you want an open-source platform you can self-host. Featureflow is a better fit if approvals and rollout control are the requirement and you already run your own experimentation tool, and you want them without an Enterprise contract.
What GrowthBook is good at
GrowthBook builds feature flags and experimentation on the same statistics engine, which is a genuine strength if you want your rollout mechanism and your A/B test results in one place. The self-hosted edition has no seat limit and is free to run, and GrowthBook ships a real SDK library - 24+ SDKs across server, client, mobile and edge runtimes including Cloudflare Workers and Lambda@Edge, with claims of small SDK size and zero network calls in typical configurations.
If experimentation is central to how your team ships, and you're comfortable either self-hosting or paying for GrowthBook's hosted cloud per user, it's a capable open-source option with an active community behind it.
Why teams pick Featureflow instead
GrowthBook's Approval Flows require an Enterprise license key - the Drafts tab is available to everyone, but enforcing required approval before a change publishes is not. Featureflow's release pipelines and approval workflows are on Business, a flat $399/month plan you can read on our pricing page and start today - no sales conversation, no license key.
For teams whose main job is rollout control rather than statistical experimentation, that difference matters: a pipeline defines the phases a flag moves through in production, and approvals are enforced at the phase that needs them, available the same day you sign up.
Side by side
| Featureflow | GrowthBook | |
|---|---|---|
| Rollout control | Targeting rules and percentage rollouts on every plan, including Free. | Targeting rules and rollout rules, including timed ramp-up schedules that can advance automatically or wait on a manual hold. |
| Release pipelines & approvals | A defined pipeline of phases a flag moves through, with approval workflows on Business - self-serve, flat $399/month. | Approval Flows require changes to be reviewed before publishing - but this is an Enterprise-license feature, not available on lower tiers. |
| Runtime config | JSON value on every flag variant, not just booleans and strings. | JSON feature values supported alongside simpler types. |
| SDK coverage | Server: Node.js, Java, Go, Python, Ruby, .NET. Client: browser JavaScript, React, React Native, native iOS, native Android. | 24+ SDKs across server, client, mobile and edge runtimes (including Cloudflare Workers, Fastly Compute and Lambda@Edge). |
| Hosting model | Hosted SaaS - nothing to run or patch yourself. | Open source - self-host the core for free, or use the hosted cloud, billed per user on its paid tier. |
| Pricing model | Flat monthly plan tiers - approvals are a plan feature, not a seat count, so growing the team doesn't move the price. | Free self-hosted; hosted cloud billed per seat on Pro, with advanced experimentation features and more seats on Pro, and approval enforcement gated to Enterprise. |
| AI agent tooling | MCP server plus published agent skills (setup, add-flag, targeting, experiments, cleanup) for AI coding assistants. | A GrowthBook MCP server for shipping and managing flags from an editor or coding agent. |
| Integrations | Full two-way Jira integration (see flag status in Jira, search your Jira tickets from within Featureflow), Slack, Datadog, Grafana, outbound webhooks, REST API. | Slack, Discord, Datadog, Jira, GitHub, and generic event webhooks, per the GrowthBook integrations catalog. |
GrowthBook facts verified 19 Sep 2026 against GrowthBook's approval flows docs, publishing & approval flows docs, SDK overview, integrations catalog, and GrowthBook's pricing page. Featureflow pricing is on our pricing page.
Pricing models compared
GrowthBook's pricing is seat-based - "a seat equals a user," per its own pricing page - not metered by end-user traffic. Starter is free for up to 3 users and 1 project; Pro is billed per seat per month for up to 30 users and 3 projects, adding sequential testing and sticky bucketing; Enterprise is custom, with unlimited users and projects - see GrowthBook's pricing page for current rates. So the bill scales with how many people manage flags and experiments, not with how many end users see them.
Featureflow's flat plan tiers don't charge per seat at all - Team and Business both include unlimited team members, so the number that determines your plan is which features you need (release pipelines and approvals on Business), not how many people you invite.
Governance and release workflow
GrowthBook's own pricing page gates Approval Workflows, exportable audit logs, and custom OIDC/SCIM SSO to Enterprise only - Starter and Pro get Google-only SSO and no enforced approval step. That means a mid-sized team on Pro can propose changes via the Drafts feature, but nothing stops a change from publishing without review unless they negotiate an Enterprise contract. Featureflow's release pipelines and approval workflows are on Business at a flat $399/month, self-serve, with a 14-day full trial on every new account.
Drafts is a genuinely useful staging step - a proposed change sits separately until someone publishes it - but 'someone can review it' and 'no one can publish without review' are different guarantees, and only the second one is a governance control you can point to in an audit.
SDKs and architecture
GrowthBook SDKs evaluate locally wherever they run - browser, server, or edge - after downloading and caching your feature definitions, which is what makes its Cloudflare Workers, Fastly Compute and Lambda@Edge SDKs possible: edge evaluation avoids both a network round-trip and the visual flicker that comes from waiting on one. Server and edge SDKs keep targeting rules private; client SDKs expose them, the same trade-off Featureflow's client SDKs make - except Featureflow pre-evaluates server-side and ships only the result to the client through a CDN, so targeting rules never reach the browser at all.
When GrowthBook is the better choice
If experimentation - running A/B tests with statistical rigor on the same infrastructure as your flags - is what you actually need, GrowthBook is built for that in a way Featureflow isn't; Featureflow doesn't run statistical experiment analysis itself. If you already run an experimentation tool, that matters less: the JavaScript and React SDKs send flag exposures to the experimentation or analytics tool you already run - a built-in Amplitude integration, documented recipes for Segment, Mixpanel, PostHog and Google Analytics 4, and a generic exposureIntegration callback for anything else. And if free self-hosting matters more to you than a self-serve approval workflow, GrowthBook's open-source core is a legitimate option, with Enterprise pricing available if you later need approvals enforced.
You want approval workflows without an Enterprise contract, and a bill that doesn't move as you add more people to the team.
Experimentation on the same statistics engine as your flags is the real need, you're comfortable with per-seat pricing, and Enterprise-tier approvals are within budget if you need them.
Frequently asked questions
Do I need an Enterprise plan for approvals on Featureflow, like GrowthBook?
No - Featureflow's release pipelines and approval workflows are on the Business plan at a flat $399/month, self-serve. GrowthBook requires an Enterprise license key to enforce required approvals.
Does Featureflow do A/B testing and experimentation like GrowthBook?
Featureflow assigns the variants and shows evaluation counts per variant, but it doesn't run the statistical analysis itself. Most companies already have a tool for that. The JavaScript and React SDKs send flag exposures to the experimentation or analytics tool you already run - a built-in Amplitude integration, documented recipes for [Segment](https://docs.featureflow.io/segment-integration), Mixpanel, PostHog and Google Analytics 4, and a generic exposureIntegration callback for anything else. If you have no experimentation tool and want one built into your flags, GrowthBook is the better setup.
Can I self-host Featureflow like GrowthBook's open-source core?
No - Featureflow is hosted only. If free self-hosting is a requirement, GrowthBook's open-source edition is the better fit.
Do GrowthBook's edge SDKs evaluate flags without a network call?
Yes - GrowthBook's Cloudflare Workers, Fastly Compute and Lambda@Edge SDKs cache feature definitions and evaluate locally at the edge, avoiding a round-trip and the flicker that comes with waiting on one. Featureflow's client SDKs achieve the same instant-evaluation result differently: targeting runs server-side and the browser receives only a pre-evaluated, CDN-cached payload.
Does GrowthBook's free self-hosted edition include SSO and audit logs?
Per GrowthBook's pricing page, self-hosted and Starter get Google-only sign-in, not custom SSO, and exportable audit logs are reserved for Enterprise. So a self-hosted team gets the flags-and-experimentation engine for free, but not the governance layer around who changed what. Featureflow includes an audit trail on every plan, including Free, with retention stepping up by tier.
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