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Compare CloudBees and LaunchDarkly 
Featured Products
At a Glance
Market Segments
Enterprise (45.7% of reviews)
Mid-Market (49.0% of reviews)
Entry-Level Pricing
$0.00 2000 Execution Minutes Per Month
$0.00
CloudBees
Star Rating
(621)4.4 out of 5
Market Segments
Enterprise (45.7% of reviews)
Pros & Cons
Entry-Level Pricing
$0.00 2000 Execution Minutes Per Month
Browse all 2 pricing plansLaunchDarkly
Star Rating
(676)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 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 CloudBees offers a robust platform for governance and manageability, particularly highlighting its strong security standards and compliance features. Reviewers note that it effectively coordinates with major cloud platforms and DevOps tools, making it a solid choice for organizations focused on compliance and deployment.
- According to verified reviews, LaunchDarkly stands out for its quick implementation process. Users have noted that the comprehensive documentation and examples provided make it easy to set up custom flags, even for those without prior experience, enhancing overall productivity.
- Reviewers mention that while CloudBees provides excellent access control and compliance checks, some users find it less user-friendly compared to LaunchDarkly. The feedback suggests that the setup process can be more complex, which may pose challenges for teams looking for a straightforward onboarding experience.
- G2 reviewers highlight that LaunchDarkly's feature management capabilities are top-notch, with users specifically noting the effectiveness of its flag management and rollout controls. This allows teams to test features seamlessly and manage their deployment strategies with confidence.
- Users express that CloudBees is innovative in continuous integration management, connecting well with key DevOps applications like Terraform and Jenkins. However, some users feel that its monitoring and automation features could be improved, as they report that LaunchDarkly offers a more streamlined experience in these areas.
Pricing
Entry-Level Pricing
CloudBees
CloudBees Platform Free Edition
$0.00
2000 Execution Minutes Per Month
- Up to 5 Users
- Community Support
- 1 week Log Retention
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
CloudBees
No trial information availableLaunchDarkly
Free Trial is available
Ratings
Meets Requirements
8.9
492
9.0
561
Ease of Use
8.6
498
8.7
574
Ease of Setup
7.9
233
8.6
364
Ease of Admin
8.1
223
8.9
134
Quality of Support
8.9
476
8.8
368
Has the product been a good partner in doing business?
8.5
217
9.0
124
Product Direction (% positive)
8.5
486
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
Administration
9.3
70
Not enough data
9.4
70
Not enough data
9.4
68
Not enough data
Functionality
9.1
72
Not enough data
9.2
64
Not enough data
9.3
70
Not enough data
9.2
66
Not enough data
9.1
62
Not enough data
Processes
9.6
73
Not enough data
9.4
70
Not enough data
9.3
69
Not enough data
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
Functionality
9.0
185
9.0
196
9.0
193
8.5
200
8.9
186
8.2
188
Management
8.9
188
8.6
195
8.6
185
7.6
193
9.1
192
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
Risk Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Vulnerability Assesment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
9.2
41
9.3
466
9.0
39
8.9
450
9.1
35
7.8
417
Functionality
9.1
38
8.7
438
9.2
41
9.1
447
9.0
39
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
Management
8.9
11
Not enough data
8.6
11
Not enough data
8.5
11
Not enough data
Functionality
8.8
11
Not enough data
8.0
11
Not enough data
8.5
11
Not enough data
Processes
8.0
11
Not enough data
8.8
11
Not enough data
8.9
11
Not enough data
Functionality
8.9
151
|
Verified
Not enough data
8.8
153
|
Verified
Not enough data
8.5
145
|
Verified
Not enough data
Management
9.0
153
|
Verified
Not enough data
8.9
154
|
Verified
Not enough data
8.3
148
|
Verified
Not enough data
Agentic AI - Continuous Integration
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
Computing
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Experimental Design
Not enough data
8.3
158
Not enough data
8.4
159
Not enough data
7.9
152
Analytics
Not enough data
7.3
156
Not enough data
Feature Not Available
Agentic AI - A/B Testing
Not enough data
7.4
13
Not enough data
8.0
14
Not enough data
6.9
14
Not enough data
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
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
Value Analysis
9.6
14
Not enough data
9.6
14
Not enough data
9.0
14
Not enough data
9.4
14
Not enough data
Value Management
9.6
14
Not enough data
9.2
14
Not enough data
9.3
14
Not enough data
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
CloudBees and LaunchDarkly are categorized as Feature Management and Continuous Delivery
Unique Categories
CloudBees is categorized as DevOps Platforms, Value Stream Management, Application Release Orchestration, Configuration Management, Continuous Integration, Build Automation, and Risk-Based Vulnerability Management
Reviews
Reviewers' Company Size
CloudBees
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
Information Technology and Services
18.5%
Computer Software
13.8%
Financial Services
11.7%
Insurance
3.7%
Banking
3.4%
Other
48.9%
Computer Software
31.3%
Information Technology and Services
10.5%
Financial Services
7.6%
Entertainment
4.5%
Construction
3.6%
Other
42.5%
Discussions
What is your long term experience with maintaining the solution?
2 Comments
CA
asdasdRead more
What is the best way to store passwords/credentials in a pipeline using Vault?
2 Comments
MN
dfgssdfgRead more
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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