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At a Glance
Market Segments
Mid-Market (49.1% of reviews)
Mid-Market (47.8% of reviews)
Entry-Level Pricing
$0.00
Contact Vendor
LaunchDarkly
Star Rating
(617)4.5 out of 5
Market Segments
Mid-Market (49.1% of reviews)
Entry-Level Pricing
$0.00
Free Trial is available
Browse all 3 pricing plansOptimizely Web Experimentation
Star Rating
(408)4.2 out of 5
Market Segments
Mid-Market (47.8% of reviews)
Entry-Level Pricing
Contact Vendor
Learn more about Optimizely Web ExperimentationSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that LaunchDarkly excels in Flag Management, scoring 9.3 compared to Optimizely's 8.3. Reviewers mention that LaunchDarkly's ability to manage feature flags is intuitive and robust, allowing for seamless control over feature rollouts.
- Reviewers say that LaunchDarkly outperforms Optimizely in Feature Testing, with a score of 9.1 versus 8.5. Users highlight that LaunchDarkly's feature testing capabilities are comprehensive, enabling more effective experimentation and validation of new features.
- Users on G2 mention that LaunchDarkly's Ease of Setup is superior, scoring 8.6 compared to Optimizely's 8.0. Reviewers appreciate the straightforward onboarding process and the clear documentation provided by LaunchDarkly.
- Reviewers mention that Optimizely shines in Mobile Testing, with a score of 8.7, while LaunchDarkly scores lower at 7.9. Users say that Optimizely's mobile testing features are particularly effective for optimizing user experiences on mobile devices.
- G2 users report that LaunchDarkly has a better overall Quality of Support, scoring 8.8 compared to Optimizely's 8.0. Reviewers appreciate the responsiveness and helpfulness of LaunchDarkly's support team, which enhances their overall experience.
- Users say that both products have strong Multivariate Testing Capacities, but Optimizely edges out with a score of 8.4 against LaunchDarkly's 8.3. Reviewers mention that Optimizely's multivariate testing tools are user-friendly and effective for complex experiments.
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 Web Experimentation
Enterprise
Contact Vendor
Customized For Your Business.
Free Trial
LaunchDarkly
Free Trial is available
Optimizely Web Experimentation
No trial information availableRatings
Meets Requirements
9.0
531
8.4
296
Ease of Use
8.7
543
8.1
309
Ease of Setup
8.6
343
8.0
155
Ease of Admin
8.9
130
8.2
124
Quality of Support
8.9
357
8.0
252
Has the product been a good partner in doing business?
9.0
120
7.9
119
Product Direction (% positive)
9.1
533
7.8
271
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
Visitor Behavior
Not enough data
7.8
24
|
Verified
Not enough data
8.5
26
|
Verified
Not enough data
7.6
22
|
Verified
Templates
Not enough data
7.8
24
|
Verified
Not enough data
8.3
23
|
Verified
Not enough data
8.4
24
|
Verified
Personalization
Not enough data
7.6
23
|
Verified
Not enough data
7.7
26
|
Verified
Not enough data
7.9
21
|
Verified
Not enough data
Feature Not Available
Not enough data
7.5
20
|
Verified
Not enough data
7.0
19
|
Verified
Not enough data
9.0
24
|
Verified
Not enough data
8.6
22
|
Verified
Multichannel
Not enough data
8.5
26
|
Verified
Not enough data
6.9
20
|
Verified
Not enough data
8.9
25
|
Verified
Administration
Not enough data
8.0
22
|
Verified
Not enough data
8.5
22
|
Verified
Not enough data
8.2
22
|
Verified
Not enough data
8.1
23
|
Verified
Agentic AI - E-Commerce Personalization
Not enough data
Not enough data
Not enough data
Not enough data
Product Analytics
7.8
27
Not enough data
8.8
28
Not enough data
8.2
28
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
Segmentation
Not enough data
8.8
21
Not enough data
8.1
14
Targeting
Not enough data
7.6
21
Not enough data
7.8
20
Triggered Content
Not enough data
7.8
16
Not enough data
Feature Not Available
Not enough data
7.4
13
Personalized Content
Not enough data
8.0
15
Not enough data
8.1
16
Not enough data
8.7
18
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
Data Sourcing
Not enough data
9.3
5
Not enough data
8.0
5
Not enough data
Not enough data
Not enough data
7.2
6
Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
9.0
195
Not enough data
8.5
199
Not enough data
8.1
187
Not enough data
Management
8.5
193
Not enough data
7.6
192
Not enough data
7.7
183
Not enough data
Agentic AI - Continuous Delivery
7.5
10
Not enough data
8.5
11
Not enough data
7.7
10
Not enough data
7.5
10
Not enough data
7.7
10
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
441
8.3
24
8.9
426
8.3
25
7.7
414
8.0
23
Functionality
8.7
432
8.0
25
9.0
430
8.5
26
8.4
413
7.6
26
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
7.9
67
Feature Not Available
6.4
61
Feature Not Available
6.9
72
Experimental Design
8.3
158
8.4
70
8.4
159
8.7
69
7.9
152
8.7
69
Analytics
7.3
155
8.2
68
Feature Not Available
5.8
62
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
7.3
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
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
Categories
Categories
Shared Categories
LaunchDarkly and Optimizely Web Experimentation are categorized as A/B Testing and Feature Management
Unique Categories
Optimizely Web Experimentation is categorized as Personalization Engines, E-Commerce Personalization, Customer Data Platform (CDP), Configuration Management, and Personalization
Reviews
Reviewers' Company Size
LaunchDarkly
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Optimizely Web 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
30.4%
Information Technology and Services
10.6%
Financial Services
7.2%
Entertainment
4.8%
Construction
3.4%
Other
43.7%
Computer Software
11.1%
Information Technology and Services
9.3%
Financial Services
9.1%
Retail
8.1%
Marketing and Advertising
8.1%
Other
54.4%
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
How does A/B Testing work?
1 Comment
TS
A/B testing is when you have a least two variations of something you want to test. Typically you have a control (which may be the current variant) and then...Read more
What are some ways that I can use A/B testing?
1 Comment
TS
Testing is ongoing and endless. We test new features such as additional form fields in a lead form. We test multiple CTAs to decide which produces the best...Read more
Optimizely Web Experimentation has no more discussions with answers
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