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At a Glance
Market Segments
Mid-Market (49.2% of reviews)
Small-Business (80.8% of reviews)
Entry-Level Pricing
$0.00
Starting at $0.00 Per Month
LaunchDarkly
Star Rating
(625)4.5 out of 5
Market Segments
Mid-Market (49.2% of reviews)
Pros & Cons
Entry-Level Pricing
$0.00
Free Trial is available
Browse all 3 pricing plansPostHog
Star Rating
(997)4.5 out of 5
Market Segments
Small-Business (80.8% 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.
- Users report that LaunchDarkly excels in Feature Testing with a score of 9.0, highlighting its robust capabilities for A/B testing and feature flagging, which allow for seamless rollout and rollback of features. In contrast, PostHog, with a score of 8.8, is noted for its feature testing but lacks some of the advanced options that LaunchDarkly offers.
- Reviewers mention that LaunchDarkly's Custom Event Tracking feature, scoring 9.7, provides exceptional flexibility in tracking user interactions, which is crucial for detailed analytics. PostHog, while scoring 8.8, is seen as slightly less comprehensive in this area, with users noting limitations in customization.
- G2 users highlight LaunchDarkly's superior User Segmentation capabilities, scoring 9.4, which allows for precise targeting of user groups for feature rollouts. PostHog, with a score of 7.7, is perceived as less effective in segmentation, leading to less tailored user experiences.
- Users on G2 report that LaunchDarkly's Engagement score of 9.7 reflects its strong ability to keep users engaged through effective feature management. In comparison, PostHog's score of 8.5 indicates a solid performance but lacks the same level of user engagement features.
- Reviewers mention that LaunchDarkly's Quality of Support is rated at 8.8, with many users praising the responsiveness and helpfulness of the support team. PostHog, with a score of 8.4, is also noted for good support, but some users feel it could be more responsive during peak times.
- Users say that LaunchDarkly's Dashboard functionality, scoring 9.2, is highly intuitive and customizable, making it easy to visualize data and track performance metrics. PostHog's dashboard, while scoring 8.4, is seen as less user-friendly, with some users expressing a desire for more customization options.
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
PostHog
Product Analytics & Data Stack
Starting at $0.00
Per Month
Trends, funnels, path analysis + more, with event autocapture, pipelines, data warehouse, APIs all as standard.
- First 1 million events/mo free
- Funnel Analysis
- Graph Analysis
Free Trial
LaunchDarkly
Free Trial is available
PostHog
Free Trial is available
Ratings
Meets Requirements
9.0
535
8.9
878
Ease of Use
8.7
547
8.3
891
Ease of Setup
8.6
345
8.9
660
Ease of Admin
8.9
131
8.5
448
Quality of Support
8.9
358
8.5
456
Has the product been a good partner in doing business?
9.0
121
8.9
340
Product Direction (% positive)
9.2
537
9.0
858
Features by Category
Metrics
Not enough data
8.9
375
Not enough data
8.6
366
Not enough data
8.5
363
Not enough data
8.9
370
Not enough data
8.7
359
Not enough data
8.3
347
Not enough data
8.2
333
Not enough data
8.3
334
Not enough data
8.3
343
Reporting
Not enough data
8.5
368
Not enough data
8.3
340
Not enough data
8.2
332
Not enough data
8.1
336
Not enough data
7.8
301
Not enough data
8.0
298
Not enough data
8.4
337
Other
Not enough data
8.5
336
Not enough data
7.9
290
Not enough data
7.9
288
Not enough data
7.8
275
Not enough data
7.3
251
Not enough data
7.2
243
Not enough data
7.6
249
Agentic AI - Digital Analytics
Not enough data
6.9
29
Not enough data
7.2
29
Not enough data
7.0
29
Not enough data
7.0
29
Administration
Not enough data
8.5
297
Not enough data
7.9
263
Not enough data
8.6
316
Not enough data
8.4
307
User Identification
9.0
5
7.7
108
9.4
6
7.7
106
8.7
5
8.1
104
Tracking & Reporting
9.7
6
8.8
109
8.6
6
8.4
104
7.2
6
7.9
94
9.2
6
8.3
112
9.4
6
8.4
103
8.3
6
8.4
105
Metrics
9.7
6
8.5
107
Feature Not Available
7.9
100
9.4
6
8.1
107
8.1
6
7.8
100
9.7
6
8.1
102
User Behavior
9.2
8
9.0
393
8.3
8
8.7
378
8.1
7
7.9
332
A/B Testing
7.7
8
Feature Not Available
7.4
7
7.2
287
9.0
7
8.0
334
7.9
7
Feature Not Available
Visitor Information
9.2
8
8.4
380
9.3
7
7.8
342
Agentic AI - Session Replay
8.0
5
6.5
65
Product Analytics
7.8
27
8.3
428
8.8
28
8.5
467
8.2
28
8.0
423
8.9
28
8.1
438
Feature Not Available
7.6
381
7.5
26
7.8
365
Feature Not Available
7.6
364
7.6
26
7.9
398
Agentic AI - Product Analytics
Feature Not Available
6.6
93
Feature Not Available
6.8
93
Feature Not Available
6.6
92
Feature Not Available
6.6
93
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
445
8.6
180
8.9
428
8.0
155
7.7
414
8.5
161
Functionality
8.7
432
7.7
147
9.0
431
8.8
173
8.4
414
8.3
165
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
Feature Not Available
Feature Not Available
7.7
113
Experimental Design
8.3
158
8.2
100
8.4
159
8.0
97
7.9
152
7.5
94
Analytics
7.3
155
8.6
114
Feature Not Available
8.0
110
Agentic AI - A/B Testing
7.4
13
7.2
9
8.0
14
7.2
10
6.9
14
6.8
10
6.8
14
6.9
9
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
8.5
107
Feature Not Available
7.9
100
9.4
6
8.1
107
8.1
6
7.8
100
9.7
6
8.1
102
Categories
Categories
Shared Categories
LaunchDarkly and PostHog are categorized as A/B Testing, Product Analytics, Mobile App Analytics, Session Replay, and Feature Management
Unique Categories
LaunchDarkly is categorized as Continuous Delivery, Log Monitoring, Bug Tracking, Large Language Model Operationalization (LLMOps), Prompt Management Tools, Application Performance Monitoring (APM), and Observability Software
PostHog is categorized as Digital Analytics
Reviews
Reviewers' Company Size
LaunchDarkly
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
PostHog
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
30.7%
Information Technology and Services
10.5%
Financial Services
7.3%
Entertainment
4.7%
Construction
3.4%
Other
43.4%
Computer Software
33.1%
Information Technology and Services
14.8%
Financial Services
5.5%
Health, Wellness and Fitness
2.9%
Marketing and Advertising
2.6%
Other
41.1%
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
What is PostHog used for?
1 Comment
SC
Posthog is an analytics tool to track your product metrics like DAU, MAU, and custom events you can send from your system, and then you can analyze them on...Read more
PostHog has no more discussions with answers
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