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At a Glance
Market Segments
Small-Business (60.0% of reviews)
Mid-Market (49.1% of reviews)
Entry-Level Pricing
$0.00
$0.00
DevCycle
Star Rating
(36)4.5 out of 5
Market Segments
Small-Business (60.0% of reviews)
Entry-Level Pricing
$0.00
Free Trial is available
Browse all 4 pricing plansLaunchDarkly
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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that LaunchDarkly excels in Flag Management with a score of 9.3, allowing for seamless control over feature flags, while DevCycle, with a score of 8.7, offers solid management but lacks some advanced features that LaunchDarkly provides.
- Reviewers mention that LaunchDarkly's Feature Testing capabilities are robust, scoring 9.1, which enables users to conduct thorough A/B tests effectively. In contrast, DevCycle's score of 8.3 indicates it has room for improvement in this area, particularly in user interface intuitiveness during testing.
- G2 users highlight that LaunchDarkly's Multi-Environment Control is rated at 8.7, making it easier to manage different environments for testing and production. DevCycle, however, scores lower at 7.4, which may hinder users who require extensive environment management.
- Users on G2 appreciate LaunchDarkly's Deployment-Ready Staging feature, scoring 9.0, which allows for efficient testing before full deployment. DevCycle does not have a comparable feature that matches this level of readiness, impacting its deployment efficiency.
- Reviewers mention that while both products offer Monitoring capabilities, LaunchDarkly's score of 7.7 falls short compared to DevCycle's 8.7, indicating that DevCycle may provide better insights and tracking for ongoing feature performance.
- Users say that LaunchDarkly's Ease of Use is rated at 8.8, making it user-friendly for teams, while DevCycle's score of 8.4 suggests it may require a steeper learning curve, particularly for new users unfamiliar with feature flagging.
Pricing
Entry-Level Pricing
DevCycle
Free Forever
$0.00
For small projects, or people that just want to give DevCycle a try.
- Up to 1000 client-side MAUs
- Unlimited seats
- Unlimited flags
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
Free Trial
DevCycle
Free Trial is available
LaunchDarkly
Free Trial is available
Ratings
Meets Requirements
9.2
29
9.0
531
Ease of Use
8.7
29
8.7
543
Ease of Setup
9.0
24
8.6
343
Ease of Admin
9.3
10
8.9
130
Quality of Support
9.0
21
8.9
357
Has the product been a good partner in doing business?
9.7
10
9.0
120
Product Direction (% positive)
7.4
27
9.1
533
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
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
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
Functionality
Not enough data
9.0
195
Not enough data
8.5
199
Not enough data
8.1
187
Management
Not enough data
8.5
193
Not enough data
7.6
192
Not enough data
7.7
183
Agentic AI - Continuous Delivery
Not enough data
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
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
9.0
23
9.3
441
8.4
22
8.9
426
8.3
23
7.7
414
Functionality
8.7
23
8.7
432
8.9
22
9.0
430
8.6
20
8.4
413
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
Feature Not Available
Feature Not Available
4.7
6
Feature Not Available
5.7
7
Feature Not Available
Experimental Design
8.6
7
8.3
158
Feature Not Available
8.4
159
8.5
8
7.9
152
Analytics
6.2
7
7.3
155
Feature Not Available
Feature Not Available
Agentic AI - A/B Testing
Feature Not Available
7.4
13
Feature Not Available
8.0
14
Feature Not Available
6.9
14
Feature Not Available
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
7.3
8
Not enough data
7.6
7
Correlation & Root Cause Analysis - Observability
Not enough data
7.9
8
Not enough data
6.7
8
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
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
Categories
Categories
Shared Categories
DevCycle and LaunchDarkly are categorized as Feature Management and A/B Testing
Unique Categories
DevCycle has no unique categories
Reviews
Reviewers' Company Size
DevCycle
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
33.3%
Information Technology and Services
23.3%
Banking
6.7%
Manufacturing
3.3%
Sports
3.3%
Other
30.0%
Computer Software
30.4%
Information Technology and Services
10.6%
Financial Services
7.2%
Entertainment
4.8%
Construction
3.4%
Other
43.7%
Alternatives
Discussions
What is DevCycle used for?
1 Comment
SY
DevCycle is a feature management platform that helps developers and product teams ship software confidently. It gives teams the ability and control to build,...Read more
DevCycle has no more 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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