Comparison

GrowthBook vs LaunchDarkly

On the evidence we track, LaunchDarkly leads this comparison with a composite score of 81/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
GrowthBook73
★LaunchDarkly81
Score
vioscaleAI score
GrowthBook73 / 100medium · 74%
LaunchDarkly81 / 100medium · 63%
Pricing
Free tier
GrowthBook✓
LaunchDarkly✓
Model
GrowthBookfreemium
LaunchDarklycommercial
Price level
GrowthBooklow
LaunchDarklyunknown
Starting price
GrowthBook$40
LaunchDarkly$3
Transparent
GrowthBook✗
LaunchDarkly✓
Integrations
Count
GrowthBook16
LaunchDarkly7
Security
Certifications
Disclosure policy
GrowthBook✓
LaunchDarkly–
Fedramp
GrowthBook–
LaunchDarkly✓
Gdpr
GrowthBook✓
LaunchDarkly✓
Hipaa
GrowthBook✓
LaunchDarkly✓
Iso27001
GrowthBook✓
LaunchDarkly✓
Soc2
GrowthBook✓
LaunchDarkly✓
Reliability
Sla pct
GrowthBook99.99
LaunchDarkly99.99
Status page
GrowthBook✓
LaunchDarkly✓
Adoption
Dependent repos
GrowthBook701
LaunchDarkly–
Github stars
GrowthBook8,497
LaunchDarkly–
Package downloads weekly
GrowthBook520,058
LaunchDarkly–
Activity
Commits last 30d
GrowthBook100
LaunchDarkly–
Release
Cadence days
GrowthBook54
LaunchDarkly–
History
GrowthBook20 items
LaunchDarkly–
License
Spdx
GrowthBookMIT
LaunchDarkly–
Language
Primary
GrowthBookTypeScript
LaunchDarkly–
Market
Availability
Content
Faq
GrowthBook7 items
LaunchDarkly6 items

Capabilities

Feature-by-feature on the axes that matter for feature flag software. “-” means undocumented, not absent.

Deployment
Hosting
GrowthBookCloud + self-hosted
LaunchDarklyCloud only
Rollout
Percentage rollout
GrowthBook✓
LaunchDarkly✓
Attribute / segment targeting
GrowthBook✓
LaunchDarkly✓
Evaluation
Local evaluation (no call home)
GrowthBook✓
LaunchDarkly✓
Edge / CDN evaluation
GrowthBook✓
LaunchDarkly-
Experimentation
Built-in A/B experimentation
GrowthBook✓
LaunchDarkly✓
Experiment stats engine
GrowthBookBayesian
LaunchDarkly-
Standards
OpenFeature-compliant provider
GrowthBook✓
LaunchDarkly-
Governance
Audit logs + change approvals
GrowthBook✓
LaunchDarkly✓
Stale-flag / code reference detection
GrowthBook✓
LaunchDarkly✓
Coverage
SDK breadth
GrowthBookBroad
LaunchDarklyBroad
Licensing
Self-hostable OSS core
GrowthBook✓
LaunchDarkly-

What each one is

The product in its own terms, so the numbers below have context.

GrowthBook

A platform combining feature flags, A/B testing, and product analytics that runs natively on your data warehouse (Snowflake, BigQuery, etc.), enabling teams to run experiments, roll out features safely, and analyze results without moving data to external tools.

Independently observed

LaunchDarkly

Leader

A platform for managing feature flags and conducting experiments in production environments. Enables teams to safely control feature releases with fine-grained targeting rules and integration with observability and project management tools.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

GrowthBook

HybridFree tier

Free cloud plan for up to 3 users. Pro and Enterprise with custom pricing. Overage charges for CDN and managed warehouse usage.

  • StarterFree
    • Unlimited feature flags
    • Unlimited experiments
    • Base experimentation
    • Experiment history & audit log
    • Stale flag management
    • +5 more
  • ProAdvanced experimentation features for scaling teams
    • Up to 30 users
    • Sequential testing
    • CUPED variance reduction
    • Sticky bucketing
    • URL split tests
    • +3 more
  • EnterpriseContact sales
    • Unlimited users and events
    • SAML-based single sign-on
    • SCIM user provisioning
    • Approval workflows
    • Exportable audit logs
    • +5 more
  • Self-HostedFree
    • Unlimited users
    • Open source (MIT license)
    • Custom JavaScript validation
    • Microservices architecture support
as of verify ↗

LaunchDarkly

Leader
from $3/experimentation MAU/moHybridFree tier30-day trial

Usage-based pricing from $3-$10 per 1k MAU. Free tier includes 1k client-side and 100k experimentation MAU. Annual billing discount available.

  • FoundationFrom $3-$10/1k MAU depending on usage type
    • Feature management
    • Experimentation
    • Targeting by attribute
    • Segments
    • Percentage rollouts
    • +3 more
  • Guardian$12/mo per service connection plus usage-based MAU pricing
    • Workflows
    • Scheduling
    • Change approvals
    • Release automation
    • Migration Assistant
    • +2 more
  • EnterpriseContact sales
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
GrowthBook✓
LaunchDarkly✓
iOS
GrowthBook✓
LaunchDarkly✗
Android
GrowthBook✓
LaunchDarkly✗
CLI
GrowthBook✓
LaunchDarkly✗
Deployment
Cloud / SaaS
GrowthBook✓
LaunchDarkly✓
Self-hosted
GrowthBook✓
LaunchDarkly✗

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (2)
  • Snowflake
  • Slack

GrowthBook

25 total - 23 not shared
  • Rollbar
  • Figma
  • BigQuery
  • Databricks
  • Redshift
  • Vercel
  • ClickHouse
  • Postgres
  • MySQL
  • Athena
  • Presto
  • Segment
  • Mixpanel
  • Amplitude
  • Google Analytics
  • OpenFeature
  • Claude Code
  • Cursor
  • VS Code
  • Okta
  • Azure AD
  • Notion
  • Jira
Independently observed

LaunchDarkly

Leader
14 total - 12 not shared
  • Census
  • Snowplow
  • Sprig
  • Tealium
  • GitHub
  • Bitbucket
  • GitLab
  • Sentry
  • OpenTelemetry
  • Microsoft Teams
  • Trello
  • Jira Cloud
Independently observed
Still deciding?

GrowthBook or LaunchDarkly: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.