Split vs. LaunchDarkly

LaunchDarkly and Split both offer feature flagging capabilities for accelerating development and mitigating release risk. Only Split provides the data privacy, feature-level monitoring, and experimentation best practices enterprises need to securely and effectively deliver impactful products. Compared to LaunchDarkly, Split’s features are unmatched! Check out this side-by-side comparison table between LaunchDarkly and Split.

Plan
Integrate with feature flags as you plan new features and experiments.
Issue tracking
View associated issues within feature flag details
YesNo
Develop + Deploy
Integrate with feature flags as you build and deploy new features to production.
Feature flags
Control and killswitch for dark launch, continuous delivery, testing in production, and more
YesYes
SDKs for all major languages
Native support for most popular language libraries
YesYes
Streaming Architecture
Propagate flag changes in milliseconds
YesYes
Target + Release
Choose who sees your new feature and release to target audiences.
Progressive Delivery
Control the blast radius of a release by gradually rolling out to users
YesYes
Granular Targeting
Target by matching Regex, dependencies, and more
YesYes
No-Code Dynamic Configuration
Enable non-technical users to enter dynamic configuration values as simple name:value pairs, instead of requiring them to write code
YesNo
Data Privacy
Target by private attributes without PII ever leaving your application
YesNo
Enrich
Ingest event data to power feature insights.
Data Attribution
Join feature flag and event data to calculate causal effect of features
YesYes
Data Warehouse Integration
Ingest millions of events per minute (via Amazon S3)
YesNo
Experiment + Monitor
Test new features on real users and measure the impact on key business and performance metrics.
Feature Monitoring & Alerting
Detect and kill features at root cause of errors that monitoring tools are unlikely to catch
YesNo
Experimentation Guardrails
Built-in best practices for testing new features and ensuring statistically significant results
YesNo
Automatic Metrics Calculation
Calculate every metric for every feature and add or edit metrics without restarting the experiment
YesNo
Learn + Decide
Make data-driven decisions on which features to fully release, iterate, or shelve.
Shareable Results
Download metrics results for sharing, reporting, documentation, or further analysis
YesNo
Manage + Govern
Oversee all flags and experiments. Ensure security and compliance.
Approval Flows
Avoid errors and ensure compliance with peer review for code changes in production
YesYes
Security & Compliance
ISO 27001, SOC-2 Type 2, GDPR, EU/US Privacy Shield
YesYes
Feature Lifecycle Management
Assign custom statuses and view all features flags and experiments in one place
YesNo
Plan
Integrate with feature flags as you plan new features and experiments.
Issue tracking
View associated issues within feature flag details
YesNo
Develop + Deploy
Integrate with feature flags as you build and deploy new features to production.
Feature flags
Control and killswitch for dark launch, continuous delivery, testing in production, and more
YesYes
SDKs for all major languages
Native support for most popular language libraries
YesYes
Streaming Architecture
Propagate flag changes in milliseconds
YesYes
Target + Release
Choose who sees your new feature and release to target audiences.
Progressive Delivery
Control the blast radius of a release by gradually rolling out to users
YesYes
Granular Targeting
Target by matching Regex, dependencies, and more
YesYes
No-Code Dynamic Configuration
Enable non-technical users to enter dynamic configuration values as simple name:value pairs, instead of requiring them to write code
YesNo
Data Privacy
Target by private attributes without PII ever leaving your application
YesNo
Enrich
Ingest event data to power feature insights.
Data Attribution
Join feature flag and event data to calculate causal effect of features
YesYes
Data Warehouse Integration
Ingest millions of events per minute (via Amazon S3)
YesNo
Experiment + Monitor
Test new features on real users and measure the impact on key business and performance metrics.
Feature Monitoring & Alerting
Detect and kill features at root cause of errors that monitoring tools are unlikely to catch
YesNo
Experimentation Guardrails
Built-in best practices for testing new features and ensuring statistically significant results
YesNo
Automatic Metrics Calculation
Calculate every metric for every feature and add or edit metrics without restarting the experiment
YesNo
Learn + Decide
Make data-driven decisions on which features to fully release, iterate, or shelve.
Shareable Results
Download metrics results for sharing, reporting, documentation, or further analysis
YesNo
Manage + Govern
Oversee all flags and experiments. Ensure security and compliance.
Approval Flows
Avoid errors and ensure compliance with peer review for code changes in production
YesYes
Security & Compliance
ISO 27001, SOC-2 Type 2, GDPR, EU/US Privacy Shield
YesYes
Feature Lifecycle Management
Assign custom statuses and view all features flags and experiments in one place
YesNo

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