Unleash vs LaunchDarkly
Feature checklists rarely decide anything. What decides it is the pricing metric, who has to write the tests, and which limitation you can live with.
Entry price
From $75 per seat/month (Pay-As-You-Go, 5-seat minimum self-hosted)
Free tierFree tier available
Free tierWhat drives the bill
The metric that actually scales your invoice.
Self-hosted open source is genuinely free within its project and environment caps. Pay-As-You-Go includes 53M API requests a month with $5 per additional million; Enterprise is an annual custom contract adding SSO, audit and change requests.
LaunchDarkly has dropped per-seat pricing: Developer is free with unlimited seats, and Foundation is pay-as-you-go on service connections and client-side monthly active users with no platform or seat fee. High-traffic consumer products still get expensive, but now through MAU rather than seats. Enterprise is quote-based.
Free tier
Open-source edition is free and self-hosted with no seat limit, but capped at 1 project, 2 environments and 5,000 flags.
Developer plan is free forever with unlimited seats.
Open source
Apache-2.0 (core)
Self-hostable
No-code authoring
Languages
Platforms
Fits teams
Adoption
Widely used
Unleash / Bricks Software · since 2014
Category standard
LaunchDarkly · since 2014
Strengths
- Local evaluation means no user data leaves your infrastructure — a strong GDPR position.
- Mature, well-documented open-source core with no artificial crippling.
- Kubernetes and Terraform support for infrastructure-as-code workflows.
- Extremely reliable flag delivery with offline fallbacks — this is infrastructure you can trust in the request path.
- Best-in-class governance: approval workflows, audit logs, role-based access.
- Code references and stale-flag detection actually help you remove dead flags.
Limitations
- Experimentation and analytics are thin; it is a flag system first.
- Self-hosting means you own uptime for something in your request path.
- Smaller ecosystem than LaunchDarkly.
- Still the expensive option once client-side MAU volume is real, even after the move off per-seat pricing.
- Experimentation is competent but less sophisticated than dedicated statistics platforms.
- Usage-based billing on service connections and MAU is harder to forecast than a seat count.
Best for
Privacy-sensitive or cost-sensitive teams that want flags without sending user data to a vendor.
Engineering organisations where flags are critical infrastructure and governance is required.
All of these integrate with: Datadog, Slack, Jira, Terraform.
Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.