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Testing · head to head

GrowthBook vs LaunchDarkly

GrowthBook logo

GrowthBook

Testing

Open source feature flags and A/B testing that run experiment analysis inside your own data warehouse

From
Free
Rated
-
Full reviewWebsite
LaunchDarkly logo

LaunchDarkly

Technology

Ship fast. Rest easy.

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: GrowthBook warehouse-native analysis is only an advantage if you have a warehouse with clean event data in it; without one, GrowthBook has nothing to compute against and you are back to buying an event-collecting platform.; LaunchDarkly pricing scales rapidly with monthly active users, becoming expensive at scale
  • They diverge on capability: GrowthBook covers Warehouse-native analysis, LaunchDarkly covers Progressive rollouts.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which GrowthBook and LaunchDarkly actually diverge.

Attributes where GrowthBook and LaunchDarkly differ
AttributeGrowthBookLaunchDarkly
Pricing modelPer user per monthUnknown
PlatformsWeb, Self-hosted, DockerWeb, Cloud, APIs
CategoryTestingTechnology
FoundedUnknown2014

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in GrowthBook

  • Warehouse-native analysis
  • Reusable metric definitions
  • Bayesian and frequentist engines
  • CUPED variance reduction
  • Visual editor
  • Self-hosting
  • Guardrail metrics

Only in LaunchDarkly

  • Progressive rollouts
  • User targeting
  • A/B testing
  • Kill switches
  • Audit log
  • Multi-environment
  • SDKs for all platforms
  • Jira

Both cover

  • Feature flags

What people use each for

The jobs each tool is most often brought in to do.

GrowthBook

  • An engineering team that wants feature flags without a per-monthly-active-user bill that grows with product successnot LaunchDarkly
  • A data team that needs experiment results to reconcile exactly with the metrics reported in its BI toolnot LaunchDarkly
  • A company with data residency or privacy constraints that cannot send user-level event data to a third-party vendornot LaunchDarkly
  • Running long-tail experiments where sequential testing and CUPED shorten the time to a decision on low-traffic surfacesnot LaunchDarkly

LaunchDarkly

  • Progressive deliverynot GrowthBook
  • Feature experimentationnot GrowthBook
  • Risk mitigationnot GrowthBook
  • Performance optimizationnot GrowthBook
  • Infrastructure migrationnot GrowthBook

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

GrowthBook

  • Warehouse-native analysis is only an advantage if you have a warehouse with clean event data in it; without one, GrowthBook has nothing to compute against and you are back to buying an event-collecting platform.
  • Metrics are SQL, so a marketing or product team without data engineering support cannot define or fix them, and a badly written metric silently produces a confident wrong answer.
  • Cloud Pro bills per seat and then adds CDN request and bandwidth overages, so a high-traffic site can find the variable component exceeds the seat cost it budgeted for.
  • Self-hosting means you own the Mongo database, the SDK endpoint availability and the upgrade path, and a flag service that is down is a production incident, not an analytics inconvenience.
  • The statistics engine exposes real choices, Bayesian versus frequentist, sequential testing, variance reduction, and the tool will not stop a team that configures them wrongly, so it rewards statistical literacy and punishes its absence.

LaunchDarkly

  • Pricing scales rapidly with monthly active users, becoming expensive at scale
  • Limited seats for engineers on standard plans, forcing upgrade to enterprise
  • Advanced features like experimentation and audit logs require higher-tier plans
  • Occasional reliability issues and backend delays reported by users

Pricing, plan by plan

GrowthBook

Free
  • Open source (self-hosted)Free
    • Unlimited users, feature flags and experiments
    • One project
    • MIT licensed, you run the infrastructure
  • Starter (cloud)Free
    • Up to 3 users
    • 1 project
    • Unlimited flags, experiments and traffic
  • Pro (cloud)$40/month
    • Per seat, up to 50 users
    • 3 projects
    • CDN overage at $10 per million requests beyond the included allowance
  • Enterprise$undefined/year
    • Unlimited users and projects
    • SSO, audit logs and advanced permissions
    • Available on cloud or self-hosted

LaunchDarkly

Free
  • DeveloperFree
    • Unlimited seats
    • Unlimited feature flags
    • A/B tests and experiments
  • Foundation$undefined/mo
    • $12 per connection
    • $10 per 1K MAU
    • Targeted segmentation
  • Enterprise$undefined/mo
    • Custom pricing
    • Advanced automation
    • Compliance features

Which should you pick?

Choose GrowthBook if

  • You need warehouse-native analysis.
  • You want to start without paying.
  • You work on Web, Self-hosted, Docker.
  • You also want reusable metric definitions.
GrowthBook review

Choose LaunchDarkly if

  • You need progressive rollouts.
  • You want to start without paying.
  • You work on Web, Cloud, APIs.
  • You also want user targeting.
LaunchDarkly review

Questions people ask

Is GrowthBook or LaunchDarkly better?
Neither clearly leads. GrowthBook starts at Free and LaunchDarkly at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, GrowthBook or LaunchDarkly?
GrowthBook starts at Free and LaunchDarkly at Free.
Does GrowthBook or LaunchDarkly run on more platforms?
GrowthBook runs on Web, Self-hosted, Docker. LaunchDarkly runs on Web, Cloud, APIs.
Can I use GrowthBook for free?
Both have a free tier, so you can try either at no cost before committing.
What is GrowthBook best used for?
GrowthBook is most often used for an engineering team that wants feature flags without a per-monthly-active-user bill that grows with product success, a data team that needs experiment results to reconcile exactly with the metrics reported in its bi tool, a company with data residency or privacy constraints that cannot send user-level event data to a third-party vendor, running long-tail experiments where sequential testing and cuped shorten the time to a decision on low-traffic surfaces. Of those, an engineering team that wants feature flags without a per-monthly-active-user bill that grows with product success and a data team that needs experiment results to reconcile exactly with the metrics reported in its bi tool are not what LaunchDarkly is typically brought in for.
What can GrowthBook do that LaunchDarkly cannot?
GrowthBook covers Warehouse-native analysis, Reusable metric definitions, Bayesian and frequentist engines, CUPED variance reduction. LaunchDarkly covers Progressive rollouts, User targeting, A/B testing, Kill switches. Both handle Feature flags.

Answered from the vendors’ own pages

GrowthBook: Is the self-hosted version actually usable, or crippled?

It is genuinely usable: unlimited users, flags and experiments on one project under an MIT licence. The paid tiers add multiple projects, SSO, audit logs and support.

LaunchDarkly: What does the free Developer plan include?

The free Developer plan includes unlimited seats, unlimited feature flags, A/B tests and experiments, 30 SDKs, 10 million logs and traces, 5,000 session replays and errors, and 14 days of data retention.

Source
GrowthBook: Do I need a data warehouse?

For experiment analysis, effectively yes. Feature flagging works without one, but the reason to choose GrowthBook over a flag-only tool is the warehouse-native statistics.

LaunchDarkly: How does LaunchDarkly pricing scale?

Foundation plan pricing is $12 per connection plus $10 per 1,000 Monthly Active Users (MAU). Enterprise and Guardian plans have custom pricing based on usage, advanced features, and compliance requirements.

Source
GrowthBook: How does the cost compare with LaunchDarkly or Optimizely?

GrowthBook charges per seat rather than per monthly active user or per tracked event, so cost stops scaling with traffic. At high volume that difference is large.

LaunchDarkly: Does LaunchDarkly integrate with Jira and Slack?

Yes, LaunchDarkly integrates with Jira Cloud, allowing you to link feature flags to Jira issues and create issues from observability data. It also integrates with Slack for flag notifications and allows authorized members to trigger flag changes from Slack.

Source
GrowthBook: Does it support mobile and server-side flags?

Yes, there are SDKs across JavaScript, React, Python, Go, Ruby, PHP, Java, Kotlin, Swift and more, covering client, server and mobile evaluation.

LaunchDarkly: What is dark launching and how does LaunchDarkly enable it?

Dark launching keeps code changes hidden in production until ready to enable. LaunchDarkly enables this through feature flags that let teams safely test code in production before rolling out to users.

Source
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