LaunchDarkly vs. Eppo
LaunchDarkly helps software teams build better products and AI experiences, by shipping faster, learning continuously, and gaining real-time control over features in production. Eppo focuses on experimentation, but lacks integrated delivery and control— leading to fragmented workflows, slower releases, and limited control at runtime.
Key differences
All-in-one feature management, experimentation, and observability
Experimentation-focused; basic feature flags, fragmented workflow
Metric-specific rollback with per-KPI thresholds
Generic rollback on regression
Sub-200ms updates globally, including mobile and edge
Mobile flags update via CDN polling delays
Multi-context targeting by any attribute
No multi-context targeting
Config control for AI prompts
Generic JSON configs; no AI-specific product controls
All-in-one feature management, experimentation, and observability
Metric-specific rollback with per-KPI thresholds
Sub-200ms updates globally, including mobile and edge
Multi-context targeting by any attribute
Config control for AI prompts
Experimentation-focused; basic feature flags, fragmented workflow
Generic rollback on regression
Mobile flags update via CDN polling delays
No multi-context targeting
Generic JSON configs; no AI-specific product controls
Built for product velocity.
Trusted by data-driven teams.
LaunchDarkly brings feature flags, experimentation, release automation, and AI Config control together in one unified platform — giving every team the tools to move fast, reduce risk, and deliver with confidence.
Built-in flag insights, usage analytics, and stale flag detection
VS Eppo
No built-in flag usage analytics or stale flag detection
Metric-specific rollback with per-KPI thresholds
VS Eppo
Generic rollback on regression
Multi-context targeting by any attribute
VS Eppo
UI-based targeting; single-context only
Real-time flag updates; no redeploy
VS Eppo
CDN polling; init caching
Advanced governance
VS Eppo
Limited RBAC, roles and environment/project scoping
Visual editor built-in
VS Eppo
SDK-first; no visual editor UI
Target users by any context—device, environment, account, or custom attributes.
Whether you're targeting users by segment, environment, or delivery stage, LaunchDarkly provides unmatched flexibility across the software delivery lifecycle.
Rollback allows distinct thresholds per metric; automatic regression handling tuned per KPI
VS Eppo
Generic rollback on regression
Granular audit logs, approval workflows, and custom RBAC
VS Eppo
Basic audit logs and approvals; limited enterprise controls
Multi-context, progressive, staged rollouts
VS Eppo
Single-context, basic audience rollouts
Chain flags across environments
VS Eppo
No flag chaining or release sequencing
Environment diffing and flag history
VS Eppo
No UI for flag comparison or history
Why choose LaunchDarkly over Eppo by Datadog?
Flags at enterprise scale
42T+ daily flag evaluations. Sub-200ms latency. Zero cold starts.
AI Configuration Experimentation
Built-in prompt testing, config control, and model-aware targeting.
Multi-dimensional targeting
Granular, flexible, and context-aware targeting across any runtime.
Enterprise-grade security & compliance
SOC 2, ISO 27001, GDPR and HIPAA controls, FedRAMP, full audit logs.
Broad SDK and mobile support
35+ SDKs with native mobile, edge, and client delivery.
* This comparison data is based on research conducted in November 2025.
Ship, test, and measure — all in one flow.
LaunchDarkly lets product and engineering teams collaborate in real time, with no warehouse lag or SQL barrier to entry.
Streamed flag delivery and instant metrics
JSON config via CDN with polling; updates not delivered instantly
Tune prompts, manage configs, rollback fast
AI experimentation only; generic JSON configs, no AI config tools
Powerful experimentation UI for every Product Member
Eppo is SQL-first—less intuitive for PMs or engineers
Streamed flag delivery and instant metrics
Tune prompts, manage configs, rollback fast
Powerful experimentation UI for every Product Member
JSON config via CDN with polling; updates not delivered instantly
AI experimentation only; generic JSON configs, no AI config tools
Eppo is SQL-first—less intuitive for PMs or engineers
Trusted by the world's most innovative teams
Join thousands of teams, including 25% of the Fortune 500, who use LaunchDarkly to de-risk delivery, run experiments at scale, and delight users faster.
Join innovative companies like these
"LaunchDarkly helped to democratize the experimentation practice and bring together data, product, and engineering teams working together around the same project."
David Tieba
Head of Product Analytics
"LaunchDarkly has given us much more flexibility than our previous tools for feature flagging and A/B testing. We’re able to experiment more effectively and make better data-driven decisions.”
Rema Morgan-Aluko
SVP Technology
"The ability to target experiments and analyze results efficiently has been a game-changer for us. It’s enabled us to run more tests and gain actionable insights much faster. ”
Riley Duncan
Sr. Data Analytst
"By connecting to Snowflake, we can move more quickly when new models are released, which means we can say yes to more ideas. We can take real risks on these things.”
Jon Noronha
Co-founder and Chief Product Officer
"LaunchDarkly helps us safely roll out and experiment with AI and product features without requiring engineering deploys for every variation.”
Vincent L.
Data Scientist, Information Technology and Services Company
"We can test new features with specific users, run A/B tests, and turn off features instantly if something breaks. This means fewer production issues, faster feedback, and more control over our releases.”
Jwalit Shah
Software Engineer
Build with confidence, experiment with ease.
