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Compare Amplitude Feature Experimentation and LaunchDarkly 
Featured Products
At a Glance
Market Segments
Mid-Market (56.0% of reviews)
Mid-Market (48.9% of reviews)
Entry-Level Pricing
No pricing available
$0.00
Amplitude Feature Experimentation
Star Rating
(29)4.1 out of 5
Market Segments
Mid-Market (56.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amplitude Feature ExperimentationLaunchDarkly
Star Rating
(675)4.5 out of 5
Market Segments
Mid-Market (48.9% of reviews)
Pros & Cons
Entry-Level Pricing
$0.00
Free Trial is available
Browse all 3 pricing plansSummary
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 Amplitude Feature Experimentation offers impressive flexibility for data analysis, allowing for the creation of various charts and effective cross-referencing of information. This capability is particularly beneficial for understanding the impact of minor changes on user behavior.
- Reviewers mention that LaunchDarkly's documentation is a standout feature, helping users implement custom flags without prior experience. This level of support contributes to a smoother setup process, which many users find straightforward and efficient.
- According to verified reviews, Amplitude Feature Experimentation shines in its A/B testing capabilities, enabling users to experiment with different features effectively. Reviewers value the platform's depth in considering user needs, particularly in defining hypotheses for testing.
- Users highlight that LaunchDarkly provides exceptional support quality, with a high satisfaction score reflecting its responsiveness and helpfulness. This support is crucial for users who may encounter challenges during implementation or feature management.
- G2 reviewers note that while Amplitude Feature Experimentation has strong reporting and analytics features, it faces challenges in ease of use compared to LaunchDarkly. Users have reported that navigating Amplitude can be less intuitive, which may impact day-to-day usability for some teams.
Pricing
Entry-Level Pricing
Amplitude Feature Experimentation
No pricing availableLaunchDarkly
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
Free Trial
Amplitude Feature Experimentation
No trial information availableLaunchDarkly
Free Trial is available
Ratings
Meets Requirements
8.1
16
9.0
561
Ease of Use
7.3
17
8.7
573
Ease of Setup
7.3
11
8.6
363
Ease of Admin
Not enough data
8.9
134
Quality of Support
7.5
14
8.8
368
Has the product been a good partner in doing business?
Not enough data
9.0
124
Product Direction (% positive)
7.3
17
9.1
563
Features by Category
User Identification
Not enough data
9.0
5
Not enough data
9.4
6
Not enough data
8.7
5
Tracking & Reporting
Not enough data
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
Metrics
Not enough data
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
User Behavior
Not enough data
9.2
8
Not enough data
8.3
8
Not enough data
8.1
7
A/B Testing
Not enough data
7.7
8
Not enough data
7.4
7
Not enough data
9.0
7
Not enough data
7.9
7
Visitor Information
Not enough data
9.2
8
Not enough data
9.3
7
Agentic AI - Session Replay
Not enough data
8.0
5
Product Analytics
Not enough data
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
Agentic AI - Product Analytics
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Segmentation
Not enough data
Not enough data
Not enough data
Not enough data
Targeting
Not enough data
Not enough data
Not enough data
Not enough data
Triggered Content
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Content
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Agentic AI - Personalization Engines
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
Functionality
Not enough data
9.0
196
Not enough data
8.5
200
Not enough data
8.2
188
Management
Not enough data
8.6
194
Not enough data
7.6
193
Not enough data
7.7
184
Agentic AI - Continuous Delivery
Not enough data
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
Bug Reporting
Not enough data
9.0
5
Not enough data
9.0
5
Not enough data
8.3
5
Bug Monitoring
Not enough data
Feature Not Available
Not enough data
8.3
5
Not enough data
8.6
6
Agentic AI - Bug Tracking
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Visibility
Not enough data
8.5
8
Not enough data
9.0
8
Not enough data
9.0
8
Monitoring and Management
Not enough data
8.6
7
Not enough data
8.1
8
Not enough data
9.0
8
Agentic AI - Log Monitoring
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
7.8
6
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Management
8.8
8
9.3
465
9.0
7
8.9
449
9.0
8
7.8
417
Functionality
8.8
8
8.7
438
9.4
8
9.1
446
9.5
7
8.4
422
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)
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
Feature Not Available
Performance
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Computing
8.0
10
Feature Not Available
5.8
13
Feature Not Available
7.9
11
Feature Not Available
Experimental Design
8.3
11
8.3
158
9.1
11
8.4
159
8.2
11
7.9
152
Analytics
8.7
15
7.3
156
6.5
9
Feature Not Available
Agentic AI - A/B Testing
6.7
5
7.4
13
7.7
5
8.0
14
7.0
5
6.9
14
6.4
6
6.8
14
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
Not enough data
Feature Not Available
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
Feature Not Available
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
Feature Not Available
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
Not enough data
Feature Not Available
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
Feature Not Available
Not enough data
Not enough data
Security - Large Language Model Operationalization (LLMOps)
Not enough data
Feature Not Available
Not enough data
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
Feature Not Available
Telemetry Collection & Ingestion - Observability
Not enough data
7.8
9
Not enough data
7.4
9
Agentic AI - Observability Software
Not enough data
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
Visualization & Dashboards - Observability
Not enough data
Feature Not Available
Not enough data
7.4
9
Not enough data
7.6
7
Correlation & Root Cause Analysis - Observability
Not enough data
7.9
8
Not enough data
7.0
9
Not enough data
7.1
7
Scalability & Ecosystem Integration - Observability
Not enough data
5.2
7
Not enough data
6.2
7
AI Features - Observability
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
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
Not enough data
Feature Not Available
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
Not enough data
Feature Not Available
Metrics
Not enough data
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
Variation Testing
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
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Personalization
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Amplitude Feature Experimentation and LaunchDarkly are categorized as A/B Testing and Feature Management
Unique Categories
Amplitude Feature Experimentation is categorized as Personalization, Personalization Engines, and Mobile App Optimization
Reviews
Reviewers' Company Size
Amplitude Feature Experimentation
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
LaunchDarkly
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
28.0%
Leisure, Travel & Tourism
8.0%
Information Technology and Services
8.0%
Hospital & Health Care
8.0%
Retail
4.0%
Other
44.0%
Computer Software
31.2%
Information Technology and Services
10.6%
Financial Services
7.6%
Entertainment
4.5%
Construction
3.6%
Other
42.5%
Alternatives
Discussions
Amplitude Feature Experimentation has no discussions with answers
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
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