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At a Glance
Market Segments
Enterprise (45.3% of reviews)
Mid-Market (49.2% of reviews)
Entry-Level Pricing
$0.00 2000 Execution Minutes Per Month
$0.00
CloudBees
Star Rating
(626)4.4 out of 5
Market Segments
Enterprise (45.3% of reviews)
Pros & Cons
Entry-Level Pricing
$0.00 2000 Execution Minutes Per Month
Browse all 2 pricing plansLaunchDarkly
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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that LaunchDarkly excels in its Feature Flags functionality, scoring 9.1, which allows for precise control over feature rollouts. In contrast, CloudBees, while also strong at 9.2, is noted for its Multi-Environment Control, which scored 9.1, making it easier for teams to manage multiple environments seamlessly.
- Reviewers mention that LaunchDarkly's Ease of Setup is rated at 8.6, which is higher than CloudBees' 7.8. This suggests that users find LaunchDarkly more straightforward to implement, leading to quicker onboarding for teams.
- G2 users highlight LaunchDarkly's superior Quality of Support with a score of 8.8, compared to CloudBees' 8.9. However, users on G2 appreciate CloudBees' support for its extensive documentation and community resources, which can be beneficial for troubleshooting.
- Users say that LaunchDarkly's Integration capabilities, rated at 8.6, are slightly less robust than CloudBees' 9.0. Reviewers mention that CloudBees offers a wider range of integrations with CI/CD tools, enhancing its usability in diverse development environments.
- Reviewers mention that LaunchDarkly shines in Risk Management with a Flag Management score of 9.3, indicating strong capabilities in managing feature flags and their associated risks. CloudBees, while scoring 9.2, is noted for its Rollout & Rollback Control, which is crucial for maintaining stability during deployments.
- Users report that LaunchDarkly's Deployment Automation is rated at 9.1, which is on par with CloudBees' offerings. However, users on G2 appreciate CloudBees' Continuous Deployment feature, scoring 9.0, for its ability to streamline the deployment process significantly.
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
497
9.0
535
Ease of Use
8.6
503
8.7
547
Ease of Setup
7.9
237
8.6
345
Ease of Admin
8.1
223
8.9
131
Quality of Support
8.9
481
8.9
358
Has the product been a good partner in doing business?
8.5
217
9.0
121
Product Direction (% positive)
8.6
491
9.2
537
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
71
Not enough data
9.4
71
Not enough data
9.4
69
Not enough data
Functionality
9.1
73
Not enough data
9.3
65
Not enough data
9.3
71
Not enough data
9.2
67
Not enough data
9.1
63
Not enough data
Processes
9.6
74
Not enough data
9.4
71
Not enough data
9.4
70
Not enough data
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
9.0
186
9.0
195
9.0
194
8.5
199
8.9
187
8.1
187
Management
8.9
189
8.5
193
8.6
186
7.6
192
9.1
193
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
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
445
9.0
39
8.9
428
9.1
35
7.7
414
Functionality
9.1
38
8.7
432
9.2
41
9.0
431
9.0
39
8.4
414
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
9.0
12
Not enough data
8.8
12
Not enough data
8.6
12
Not enough data
Functionality
8.9
12
Not enough data
8.2
12
Not enough data
8.6
12
Not enough data
Processes
8.2
12
Not enough data
8.9
12
Not enough data
9.0
12
Not enough data
Functionality
8.9
155
|
Verified
Not enough data
8.8
157
|
Verified
Not enough data
8.5
147
|
Verified
Not enough data
Management
9.0
156
|
Verified
Not enough data
8.9
158
|
Verified
Not enough data
8.3
150
|
Verified
Not enough data
Agentic AI - Continuous Integration
Not enough data
Not enough data
10.0
5
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
155
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
7.3
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
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
18.4%
Computer Software
13.8%
Financial Services
12.0%
Insurance
3.7%
Banking
3.4%
Other
48.8%
Computer Software
30.7%
Information Technology and Services
10.5%
Financial Services
7.3%
Entertainment
4.7%
Construction
3.4%
Other
43.4%
Discussions
Can I tear down and build Jenkins Cluster as Infrastructure as Code?
2 Comments
SM
I think you can do it via tools like Chef / puppet, but building full cluster from the scratch may take significant time. Another option can be to dockerize...Read 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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