LaunchDarkly vs. Firebase Remote Config
LaunchDarkly is a purpose-built platform for modern feature management, experimentation, and safe, scalable software delivery. Firebase Remote Config is a mobile-focused configuration tool optimized for A/B testing and app personalization, but lacks critical depth for production-grade rollout control, governance, and multi-platform delivery.
Key differences
Real-time flag updates, rollbacks, and targeting
Supports real-time updates on newer SDKs; otherwise relies on cached configs and manual refresh
Full-stack support: web, backend, mobile, edge
Mobile-first; limited flexibility outside Android/iOS
Native experimentation + rollout automation
Basic A/B testing
Targeting by any attribute, across any context or platform
Attribute-based targeting limited to mobile use cases
Audit logs, approval policies, and environment diffing
No built-in governance or enterprise release workflows
35+ SDKs and sub-200ms global delivery
Smaller SDK footprint; update latency depends on fetch interval
Real-time flag updates, rollbacks, and targeting
Full-stack support: web, backend, mobile, edge
Native experimentation + rollout automation
Targeting by any attribute, across any context or platform
Audit logs, approval policies, and environment diffing
35+ SDKs and sub-200ms global delivery
Supports real-time updates on newer SDKs; otherwise relies on cached configs and manual refresh
Mobile-first; limited flexibility outside Android/iOS
Basic A/B testing
Attribute-based targeting limited to mobile use cases
No built-in governance or enterprise release workflows
Smaller SDK footprint; update latency depends on fetch interval
Built for product velocity.
Trusted by data-driven teams.
LaunchDarkly gives engineering, product, and data teams full control over feature delivery and testing — across mobile, web, backend, and edge environments.
Ship to web, backend, mobile, edge — all from one platform
VS Firebase Remote Config
Mobile-only; lacks true full-stack rollout support
Real-time delivery with instant updates and rollbacks
VS Firebase Remote Config
Flags update only after next config fetch; rollbacks delayed
Integrated A/B testing with flag chaining
VS Firebase Remote Config
Basic variant testing; no rollback automation or chaining
Target by environment, plan, region, or custom attributes
VS Firebase Remote Config
Targeting tied to mobile user traits; limited segmentation logic
Audit trails, approval workflows, and fine-grained access
VS Firebase Remote Config
No governance or change control capabilities
Used by enterprises at 42T+ daily flag evals, <200ms latency
VS Firebase Remote Config
Built for apps at a smaller scale; not optimized for enterprise complexity
Context-aware targeting with
full release control
From mobile apps to backend services to edge delivery, LaunchDarkly provides complete runtime control and release automation at scale.
Multi-context targeting across device, user, region, and tenant
VS Firebase Remote Config
Mobile-focused targeting; no support for backend or multi-entity logic
Unified flagging and experimentation workflows
VS Firebase Remote Config
A/B testing is siloed; separate from delivery or targeting logic
Real-time rollbacks triggered by observability signals
VS Firebase Remote Config
No observability integrations or automated rollback support
Chain feature flags for conditional and gated rollouts
VS Firebase Remote Config
No support for flag prerequisites or nested feature control
Secure delivery across 35+ SDKs (incl. mobile, edge, backend)
VS Firebase Remote Config
SDKs primarily focused on Android/iOS; no typed flags or edge support
Environment diffing, policy approvals, and audit logs
VS Firebase Remote Config
No visibility into changes, user approvals, or history tracking outside of Templates
Why choose LaunchDarkly over Firebase?
Multi-platform, real-time control
Web, mobile, server, and edge support. Instant updates without re-deploys. Built-in rollout automation.
Runtime AI + experimentation support
Test GenAI prompts and configs. Pause features based on metric regression. No separate A/B test tools needed.
Multi-dimensional targeting
Target by user, device, plan, region, tenant. Chain flags for safer gating and controlled rollout.
Enterprise-grade security and governance
SOC 2, HIPAA, FedRAMP, ISO 27001, GDPR controls. Role-based access, policies, and audit visibility.
Designed for scale and speed
42T+ daily evaluations. <200ms latency. Zero cold starts.
All-in-one platform
Flags, experiments, and AI config in one workflow. No toggling between tools, consoles, or SDKs.
* 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.
