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Compare LaunchDarkly and Optimizely Feature Experimentation 
Featured Products
At a Glance
Market Segments
Mid-Market (49.0% of reviews)
Mid-Market (50.9% of reviews)
Entry-Level Pricing
$0.00
No pricing available
LaunchDarkly
Star Rating
(673)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 plansOptimizely Feature Experimentation
Star Rating
(116)4.3 out of 5
Market Segments
Mid-Market (50.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Optimizely Feature ExperimentationSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that LaunchDarkly excels in user experience, with many praising its intuitive interface that feels similar to Git for configuration changes. Users appreciate how easy it is to integrate into complex applications, which significantly reduces the time and effort needed to create new feature flags.
- Users say that LaunchDarkly's documentation is particularly helpful, allowing even those without prior experience to implement custom flags effectively. This level of support contributes to a smoother setup process compared to Optimizely Feature Experimentation, which some users find less straightforward.
- Reviewers mention that while Optimizely Feature Experimentation is a solid choice for A/B testing, it may not match the overall satisfaction levels of LaunchDarkly. Users highlight its comprehensive features for data-driven teams, but some express that the initial setup can be a bit cumbersome.
- According to verified reviews, LaunchDarkly stands out with its high quality of support, receiving commendations for its responsiveness and helpfulness. In contrast, Optimizely Feature Experimentation, while still rated positively, does not reach the same level of user satisfaction in this area.
- Users report that LaunchDarkly's feature management capabilities are robust, with high ratings for flag management and rollout controls. This allows teams to manage features effectively across multiple environments, a feature that some Optimizely users feel could be improved.
- Reviewers highlight that while Optimizely Feature Experimentation offers good multi-variant testing options, LaunchDarkly's overall performance in feature testing and monitoring is rated higher, making it a preferred choice for teams focused on continuous delivery and experimentation.
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
Optimizely Feature Experimentation
No pricing availableFree Trial
LaunchDarkly
Free Trial is available
Optimizely Feature Experimentation
Free Trial is available
Ratings
Meets Requirements
9.0
558
8.1
79
Ease of Use
8.7
570
8.1
85
Ease of Setup
8.6
361
7.0
40
Ease of Admin
8.9
134
7.9
26
Quality of Support
8.8
368
8.1
67
Has the product been a good partner in doing business?
9.0
124
8.7
26
Product Direction (% positive)
9.1
560
7.9
71
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
Not enough data
8.3
8
Not enough data
8.1
7
Not enough data
A/B Testing
7.7
8
Not enough data
7.4
7
Not enough data
9.0
7
Not enough data
7.9
7
Not enough data
Visitor Information
9.2
8
Not enough data
9.3
7
Not enough data
Agentic AI - Session Replay
8.0
5
Not enough data
Product Analytics
7.8
27
Not enough data
8.8
28
Not enough data
8.2
29
Not enough data
8.9
28
Not enough data
Feature Not Available
Not enough data
7.5
26
Not enough data
Feature Not Available
Not enough data
7.6
26
Not enough data
Agentic AI - Product Analytics
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
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
463
8.6
37
8.9
447
8.5
37
7.8
417
7.6
36
Functionality
8.7
437
8.6
37
9.1
446
8.8
38
8.4
422
7.6
37
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
Feature Not Available
Feature Not Available
6.5
27
Feature Not Available
7.6
29
Experimental Design
8.3
158
7.7
30
8.4
159
7.7
29
7.9
152
8.0
29
Analytics
7.3
156
7.1
29
Feature Not Available
Feature Not Available
Agentic AI - A/B Testing
7.4
13
Not enough data
8.0
14
Not enough data
6.9
14
Not enough data
6.8
14
Not enough data
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
7.4
9
Not enough data
7.6
7
Not enough data
Correlation & Root Cause Analysis - Observability
7.9
8
Not enough data
7.0
9
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
Agentic AI - Personalization
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
Not enough data
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
Variation Testing
Not enough data
8.2
18
Not enough data
Feature Not Available
Not enough data
8.5
18
Not enough data
7.4
18
Not enough data
8.5
17
Not enough data
7.4
18
Reporting
Not enough data
7.3
16
Not enough data
7.9
17
Personalization
Not enough data
7.6
17
Not enough data
7.6
17
Not enough data
7.9
16
Administration
Not enough data
7.5
17
Not enough data
7.6
16
Not enough data
8.5
16
Not enough data
7.4
16
Categories
Categories
Shared Categories
LaunchDarkly and Optimizely Feature Experimentation are categorized as A/B Testing and Feature Management
Unique Categories
Optimizely Feature Experimentation is categorized as Mobile App Optimization and Personalization
Reviews
Reviewers' Company Size
LaunchDarkly
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Optimizely Feature Experimentation
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
31.0%
Information Technology and Services
10.6%
Financial Services
7.7%
Entertainment
4.6%
Construction
3.4%
Other
42.7%
Financial Services
16.4%
Computer Software
10.3%
Retail
6.0%
Information Technology and Services
6.0%
Real Estate
5.2%
Other
56.0%
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
Optimizely Feature Experimentation has no more discussions with answers
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