LaunchDarkly vs. Harness
LaunchDarkly helps teams ship faster, learn continuously, and control features in real time all from one unified platform. Harness adds basic flagging to CI/CD, but lacks deep targeting, auto-rollbacks, and built-in experimentation — slowing teams down and potentially increasing release risk.
Key differences
Real-time toggles and auto rollbacks, no redeploys
Slower rollbacks, tied to DevOps workflows and manual steps
All-in-one workflow for flagging, testing, and measurement
Separate modules create complexity and context switching
35+ SDKs with strong edge/mobile and typed flag support
Fewer SDKs, weaker edge/mobile and typed flag capabilities
Auto-pause/rollback based on real-time metric drops
Limited automation; rollbacks are manual and slower
Runs directly in your warehouse
No native warehouse integration for experiments
Real-time toggles and auto rollbacks, no redeploys
All-in-one workflow for flagging, testing, and measurement
35+ SDKs with strong edge/mobile and typed flag support
Auto-pause/rollback based on real-time metric drops
Runs directly in your warehouse
Slower rollbacks, tied to DevOps workflows and manual steps
Separate modules create complexity and context switching
Fewer SDKs, weaker edge/mobile and typed flag capabilities
Limited automation; rollbacks are manual and slower
No native warehouse integration for experiments
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.
Target by user, device, version, environment, custom attribute
VS Harness
Limited, user-centric targeting
Auto-pause or roll back when metrics degrade
VS Harness
Manual rollbacks; no real-time automation
Adjust GenAI prompts/configs live — no redeploys
VS Harness
No runtime AI config or prompt support
35+ SDKs, CI/CD automation, visual editor, deep integrations
VS Harness
Fewer SDKs/integrations; weaker flag support
Predictable, transparent pricing at any scale
VS Harness
Pricing tied to broader platform; less transparent
Trillions of daily evaluations, sub-200ms latency, proven reliability
VS Harness
Scalable, but less proven at largest scale
Ship, test, and measure — all in one flow.
LaunchDarkly lets product and engineering teams collaborate in real time, with no warehouse lag or DevOps bottlenecks.
Run experiments on AI configurations
No purpose-built AI experimentation
Environment-level flag diffing
No native comparison or change history across environments
Chain flags via prerequisites
No support for nested or multi-level flag dependencies
Granular approvals, audit logs, and policies
Basic RBAC; limited governance customization
Run experiments on AI configurations
Environment-level flag diffing
Chain flags via prerequisites
Granular approvals, audit logs, and policies
No purpose-built AI experimentation
No native comparison or change history across environments
No support for nested or multi-level flag dependencies
Basic RBAC; limited governance customization
Target users by any context—device, environment, account, or custom attributes.
Whether you’re targeting by segment, environment, or delivery stage, LaunchDarkly provides unmatched flexibility across the software delivery lifecycle.
Experimentation + feature delivery all in one
VS Harness
Split between modules; disconnected workflows for testing and rollout.
Target by any context or custom attribute
VS Harness
Limited to single-entity targeting; no multi-context flexibility
Trigger instant rollbacks via observability or metric regression
VS Harness
Manual rollback only; no automation or real-time protection
Enterprise-grade security and compliance
VS Harness
Basic compliance only; no FedRAMP or HIPAA out-of-the-box
35+ SDKs and edge support
VS Harness
Fewer SDKs and no first-class edge delivery options
Intuitive UI built for devs, PMs, and data teams
VS Harness
Complex and fragmented UX; steep learning curve for non-engineers
Why choose LaunchDarkly over Harness?
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.
Guarded Releases & rollback automation
Auto rollback based on observability or metric regressions.
Enterprise-grade security & compliance
SOC 2, HIPAA, ISO 27001, GDPR, 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.
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.
