LaunchDarkly vs Flagsmith

LaunchDarkly

Flagsmith

LaunchDarkly · 15 features

• AI Configs — Manage AI prompts, models, and parameters as flags.
• Approvals — Require co-sign before flag changes in prod.
• Audit Log — Every change logged with user + timestamp.
• Auto Pause/Rollback — Guardrail metrics auto-revert a bad release.
• Code References — Scan code for flag references + stale flag cleanup.
• Contexts — Multi-context targeting: user + organization + device in one evaluation.
• Experimentation — A/B/n testing with stat significance. Bayesian + frequentist.
• Feature Flags — Boolean, multivariate (string/number/JSON) flags with targeting rules.
• Observability — Logs + traces + errors linked to flag changes.
• Relay Proxy — Self-hosted evaluation proxy for compliance / low-latency.
• Release Pipelines — Progressive rollout workflows with guards + approvals.
• SAML / SCIM — Enterprise SSO + SCIM provisioning.
• Session Replay — Frontend session recordings tied to flag exposure.
• Targeting Rules — Rule-based targeting on user attributes, country, device, custom contexts.
• Workflows — Scheduled flag changes + conditional workflows.

Flagsmith · 14 features

• A/B Testing — Multivariate flag splits.
• Audit Log — Full history of flag changes.
• Change Requests — Approval workflow for flag changes.
• Edge API — Global low-latency flag eval.
• Feature Flags — Boolean + multivariate + JSON flags.
• Local Evaluation — Server SDKs eval flags locally — no per-req API call.
• Percentage Rollouts — Gradual traffic ramp.
• Remote Config — Non-boolean config values.
• Role-Based Access — Fine-grained permissions.
• Scheduled Flags — Time-based flag changes.
• Segments — Rule-based targeting.
• Self-Hosting — Docker/Helm install.
• SSO + SAML — Enterprise SSO.
• Webhooks — Outbound event streaming.