TrustRadius

CloudBees Feature Management vs. LaunchDarkly

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
CloudBees Feature Management
Score 0.0 out of 10
N/A
CloudBees Feature Management (formerly Rollout) is an enterprise-ready feature flag management solution, offering robust deployment rules, audience segmentation and an experimentation framework for controlling which audiences are exposed to what features. Feature flagging is a method to show or hide specific software features at runtime. Features are coded with a flag and “released” to production systems, but only exposed to a given user if that user meets the criteria for the…
$300
per month
LaunchDarkly
Score 7.6 out of 10
N/A
LaunchDarkly provides a feature management platform that enables DevOps and Product teams to use feature flags at scale. This allows for greater collaboration among team members, and increased usability testing before full-scale feature deployment.
$12
per month per Service Connection per month, or $10 per 1k client-side MAU per mo
Pricing
CloudBees Feature ManagementLaunchDarkly
Editions & Modules
Team
$300
per month
Starter
Free
Enterprise
Contact sales team
Foundation
$12
per month per Service Connection per month, or $10 per 1k client-side MAU per mo
Enterprise
Custom
Guardian
Custom
Offerings
Pricing Offerings
CloudBees Feature ManagementLaunchDarkly
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalOptional
Additional Details—Discount available on the Foundation plan for annual pricing.
More Pricing Information
Community Pulse
CloudBees Feature ManagementLaunchDarkly
Considered Both Products
CloudBees Feature Management

No answer on this topic

LaunchDarkly
DM
David McCallister
AA Info Systems Manager
Chose LaunchDarkly
Rollout is another dedicated feature flag tool that can be used to manage features. LaunchDarkley offers all the features of an enterprise level tool, unlike Rollout, reserves the security features for the Enterprise plan. Out of box integrations are limited but they do have a …
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User Ratings
CloudBees Feature ManagementLaunchDarkly
Likelihood to Recommend
-
(0 ratings)
10.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
7.0
(0 ratings)
Usability
-
(0 ratings)
7.4
(0 ratings)
Availability
-
(0 ratings)
10.0
(0 ratings)
Performance
-
(0 ratings)
8.1
(0 ratings)
Support Rating
-
(0 ratings)
10.0
(0 ratings)
Implementation Rating
-
(0 ratings)
9.0
(0 ratings)
Configurability
-
(0 ratings)
8.0
(0 ratings)
Ease of integration
-
(0 ratings)
8.0
(0 ratings)
Product Scalability
-
(0 ratings)
10.0
(0 ratings)
Vendor post-sale
-
(0 ratings)
8.0
(0 ratings)
Vendor pre-sale
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
CloudBees Feature ManagementLaunchDarkly
Likelihood to Recommend
No answers on this topic
Great for rolling out features slowly for beta testing in production. I would say it is less well suited for toggling features permanently for users as this requires more integration with our backend and billing systems that would be a lot of work to set up.
Verified User
Anonymous
Read full review
Pros
No answers on this topic
  • Feature Flag Management: It's like magic. With a flip of a switch, you can manage feature rollouts to visitors or accounts across the web and mobile applications!
  • Segmentation: Create a segment of visitors or accounts and then use that to target a feature flag rule. Really easy to use and saves so much time.
  • Ease of Use: Seamless copy/paste functionality, really clear status indicators so you can find what is on and for whom.
JG
Joe Gonwa
Director of Product Management
Read full review
Cons
No answers on this topic
  • It would be nice to see a feature flag's settings against all environments at once.
  • It would be to have a "array" type flag for related but different settings (eg, enableA and enableB could be enable: [a, b]).
  • It would be nice have customizable columns on the Users page (eg, if I want to inject a new meta data).
Verified User
Anonymous
Read full review
Likelihood to Renew
No answers on this topic
It fits out business case
Anderson Carvalho | TrustRadius Reviewer
Anderson Carvalho
Lead Site Reliability Engineer
Read full review
Usability
No answers on this topic
It's very easy to create new feature flags and set them properly. It is more difficult to get LaunchDarkly integrated within a distributed system so that flags can be used. Especially on stateless servers where gating features by user is not easy. Overall though, it is very easy to get started and I like how simple it is to use.
Michael Gallouedec | TrustRadius Reviewer
Michael Gallouedec
Senior Software Engineer
Read full review
Reliability and Availability
No answers on this topic
No issue with availability at all
Anderson Carvalho | TrustRadius Reviewer
Anderson Carvalho
Lead Site Reliability Engineer
Read full review
Performance
No answers on this topic
From what I have seen, LaunchDarkly integrates well with your code and also services you might have in your tech ecosystem. We use Jenkins for automation and we were able to use it to build pipelines to automate the control of LaunchDarkly toggles in our code.
Verified User
Anonymous
Read full review
Support Rating
No answers on this topic
The overall support is very responsive
Anderson Carvalho | TrustRadius Reviewer
Anderson Carvalho
Lead Site Reliability Engineer
Read full review
Implementation Rating
No answers on this topic
Yes I do.
Anderson Carvalho | TrustRadius Reviewer
Anderson Carvalho
Lead Site Reliability Engineer
Read full review
Alternatives Considered
No answers on this topic
Rollout is another dedicated feature flag tool that can be used to manage features. LaunchDarkley offers all the features of an enterprise level tool, unlike Rollout, reserves the security features for the Enterprise plan. Out of box integrations are limited but they do have a well documented REST API.
DM
David McCallister
AA Info Systems Manager
Read full review
Scalability
No answers on this topic
The platform didn't go down since we implemented it
Anderson Carvalho | TrustRadius Reviewer
Anderson Carvalho
Lead Site Reliability Engineer
Read full review
Return on Investment
No answers on this topic
  • Improved developer experience with some teams moving to Trunk-based Development.
  • Increased deployment frequency due to smaller code releases.
  • Validation of the technical and business value of work is achieved more quickly through smaller pieces of work and through experimenting with a small group of users before a feature gets to 100% of customers.
Verified User
Anonymous
Read full review
ScreenShots

CloudBees Feature Management Screenshots

Screenshot of Experiment Details- Understand impression data from the target user groups participating in your experiments.

LaunchDarkly Screenshots

Screenshot of regression detection and automated incident response at the feature level. This connects critical metrics to the release process so that every change is monitored - even the smallest releases, where issues would previously have been obscured by noise in the wider system metrics.Screenshot of where track the progression of a feature flag across a series of phases, where each phase consists of one or more environments.Screenshot of how to target groups of contexts individually or by attribute. Contexts are people, services, machines, or other resources that encounter feature flags in a product.Screenshot of where to design experiments that measure business-critical user flows and provide results specific to those product funnels, and measure multi-step user journeys. This is used to determine whether conversions are succeeding, with all metrics visible in one place.