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Compare LaunchDarkly and Statsig 
Featured Products
At a Glance
Market Segments
Mid-Market (49.0% of reviews)
Mid-Market (45.3% of reviews)
Entry-Level Pricing
$0.00
Starting at $0.00 Per Month
LaunchDarkly
Star Rating
(668)4.5 out of 5
Market Segments
Mid-Market (49.0% of reviews)
Pros & Cons
Entry-Level Pricing
$0.00
Free Trial is available
Browse all 3 pricing plansStatsig
Star Rating
(345)4.7 out of 5
Market Segments
Mid-Market (45.3% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $0.00 Per Month
Free Trial is available
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that LaunchDarkly excels in its user interface, which is described as "very good and convenient." Users appreciate its Git-like feel for configuration changes, making it easy to navigate and manage feature flags.
- Users say that Statsig stands out for its simplicity in setting up experiments. Reviewers highlight that the platform makes it easy to adopt A/B testing and feature gates, significantly lowering the barrier for running experiments quickly and effectively.
- According to verified reviews, LaunchDarkly is praised for its straightforward integration process, especially in complex applications. Users mention that the documentation is excellent, helping them implement custom flags without prior experience, which enhances their overall productivity.
- Reviewers mention that Statsig excels in providing reliable experimentation capabilities. Users appreciate the strong statistical rigor and minimal engineering overhead, which allows them to run feature flags and A/B tests at scale with confidence.
- G2 reviewers highlight that while both platforms have similar ease of use ratings, LaunchDarkly's ease of setup is slightly more favorable. Users have noted that the onboarding process is intuitive, allowing for quicker implementation compared to Statsig.
- Users report that LaunchDarkly has a robust support system, with a quality of support score that reflects its commitment to customer service. In contrast, Statsig users have noted that while support is good, it may not always match the responsiveness and helpfulness found with LaunchDarkly.
Pricing
Entry-Level Pricing
LaunchDarkly
Developer
$0.00
Feature flagging for your passion project. Start for free; pay only when you exceed Developer tier limits
- 1 project
- 3 environments
- 5 service connections per month
Statsig
Experimentation
Starting at $0.00
Per Month
The world's most advanced product experimentation platform
- A/B/n experimentation
- Cloud deployment
- Warehouse Native deployment
Free Trial
LaunchDarkly
Free Trial is available
Statsig
Free Trial is available
Ratings
Meets Requirements
9.0
556
9.1
323
Ease of Use
8.7
568
8.7
334
Ease of Setup
8.6
360
8.5
263
Ease of Admin
8.9
134
9.0
77
Quality of Support
8.8
367
9.2
266
Has the product been a good partner in doing business?
9.0
124
9.6
78
Product Direction (% positive)
9.1
558
9.4
330
Features by Category
User Identification
9.0
5
Not enough data
9.4
6
Not enough data
8.7
5
Not enough data
Tracking & Reporting
9.7
6
Not enough data
8.6
6
Not enough data
7.2
6
Not enough data
9.2
6
Not enough data
9.4
6
Not enough data
8.3
6
Not enough data
Metrics
9.7
6
Not enough data
Feature Not Available
Not enough data
9.4
6
Not enough data
8.1
6
Not enough data
9.7
6
Not enough data
User Behavior
9.2
8
9.0
10
8.3
8
8.7
9
8.1
7
8.0
9
A/B Testing
7.7
8
8.9
9
7.4
7
9.4
8
9.0
7
9.4
8
7.9
7
7.9
8
Visitor Information
9.2
8
8.5
10
9.3
7
8.1
8
Agentic AI - Session Replay
8.0
5
Not enough data
Product Analytics
7.8
27
8.4
104
8.8
28
8.6
106
8.2
29
8.3
104
8.9
28
8.3
102
Feature Not Available
7.4
100
7.5
26
7.6
98
Feature Not Available
7.3
98
7.6
26
7.8
100
Agentic AI - Product Analytics
Feature Not Available
7.3
42
Feature Not Available
7.3
42
Feature Not Available
7.4
43
Feature Not Available
7.5
41
Functionality
9.0
196
Not enough data
8.5
200
Not enough data
8.2
188
Not enough data
Management
8.6
194
Not enough data
7.6
193
Not enough data
7.7
184
Not enough data
Agentic AI - Continuous Delivery
7.7
11
Not enough data
8.6
12
Not enough data
7.9
11
Not enough data
7.7
11
Not enough data
7.9
11
Not enough data
Bug Reporting
9.0
5
Not enough data
9.0
5
Not enough data
8.3
5
Not enough data
Bug Monitoring
Feature Not Available
Not enough data
8.3
5
Not enough data
8.6
6
Not enough data
Agentic AI - Bug Tracking
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Visibility
8.5
8
Not enough data
9.0
8
Not enough data
9.0
8
Not enough data
Monitoring and Management
8.6
7
Not enough data
8.1
8
Not enough data
9.0
8
Not enough data
Agentic AI - Log Monitoring
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
7.8
6
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Management
9.3
461
9.2
190
8.9
445
9.1
177
7.8
416
8.6
178
Functionality
8.7
436
8.9
179
9.1
445
9.4
188
8.4
421
8.7
168
Application Performance Monitoring (APM)Hide 19 FeaturesShow 19 Features
Not enough data
Not enough data
Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Response
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Application Performance Monitoring (APM)
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Performance
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Computing
Feature Not Available
6.9
197
Feature Not Available
6.8
189
Feature Not Available
7.6
210
Experimental Design
8.3
158
8.9
240
8.4
159
9.1
236
7.9
152
8.6
225
Analytics
7.3
155
8.8
248
Feature Not Available
6.7
205
Agentic AI - A/B Testing
7.4
13
7.6
75
8.0
14
7.9
76
6.9
14
7.3
74
6.8
14
7.2
76
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Feature Not Available
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
Feature Not Available
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
Feature Not Available
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Feature Not Available
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Feature Not Available
Not enough data
Not enough data
Not enough data
Security - Large Language Model Operationalization (LLMOps)
Feature Not Available
Not enough data
Not enough data
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Feature Not Available
Not enough data
Telemetry Collection & Ingestion - Observability
7.8
9
Not enough data
7.4
9
Not enough data
Agentic AI - Observability Software
5.0
5
Not enough data
5.3
5
Not enough data
7.0
5
Not enough data
6.0
5
Not enough data
6.4
6
Not enough data
5.8
6
Not enough data
5.6
6
Not enough data
Visualization & Dashboards - Observability
Feature Not Available
Not enough data
7.3
8
Not enough data
7.6
7
Not enough data
Correlation & Root Cause Analysis - Observability
7.9
8
Not enough data
6.7
8
Not enough data
7.1
7
Not enough data
Scalability & Ecosystem Integration - Observability
5.2
7
Not enough data
6.2
7
Not enough data
AI Features - Observability
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Prompt Management - Prompt Management Tools
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance Analytics - Prompt Management Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Benchmarking and Comparison - Prompt Management Tools
Not enough data
Not enough data
Production-ready Deployment Tools - Prompt Management Tools
Not enough data
Not enough data
Prompt Performance - Prompt Management Tools
Not enough data
Not enough data
Model-specific Tuning - Prompt Management Tools
Feature Not Available
Not enough data
Metrics
9.7
6
Not enough data
Feature Not Available
Not enough data
9.4
6
Not enough data
8.1
6
Not enough data
9.7
6
Not enough data
Categories
Categories
Shared Categories
LaunchDarkly and Statsig are categorized as A/B Testing, Feature Management, Session Replay, and Product Analytics
Unique Categories
Statsig has no unique categories
Reviews
Reviewers' Company Size
LaunchDarkly
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Statsig
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
30.9%
Information Technology and Services
10.6%
Financial Services
7.7%
Entertainment
4.6%
Construction
3.3%
Other
42.9%
Computer Software
27.2%
Information Technology and Services
16.6%
Financial Services
8.6%
Health, Wellness and Fitness
4.1%
Sports
3.0%
Other
40.5%
Alternatives
Discussions
How do I use LaunchDarkly?
1 Comment
VR
Refer their dveloper guide or SDK, they provide the snippet and imports that you can use in your code and use them.Read more
What is LaunchDarkly used for?
1 Comment
LN
Mostly we use for A/B Testing. Turn on new feature for subset of users and turn on/off new feature when we first release.Read more
LaunchDarkly has no more discussions with answers
Statsig has no discussions with answers
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