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 7.8 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
Pricing
CloudBees Feature Management
LaunchDarkly
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 Management
LaunchDarkly
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
Optional
Optional
Additional Details
—
Discount available on the Foundation plan for annual pricing.
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 …
If a new feature should be added but unsure of how it will actually work or how users will accept the new enhancement or change, this tool allows you test and measure initial results. This saves so much time and energy knowing the results before it is deployed and might have low user adoption or acceptance.
A/B or Multi Variant Testing as a methodology to gather insight from customer usage. Experimentation as a feature within LaunchDarkly offers information around the success of one variant over another and whether the experiment has reached statistical significance.
Being able to decouple deployment of code from the release of a feature is hugely valuable.
Development teams are empowered to manage features within their production applications for reliability or testing purposes.
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.
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.
LaunchDarkly stood out to us because it put control of the application within the hands of our engineers. We didn't want to allow business users to manipulate the production site via a third-party tool. Instead, our focus was on delivering faster as an engineering team.
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.