LaunchDarkly has been recognized as a Strong Performer by analyst firm Forrester Research in their recent evaluation, The Forrester Wave™: Feature Management and Experimentation Solutions, Q3 2024. The report underscores the importance for buyers to look for platforms that have a strong core of feature management and progressive release capabilities—a domain where LaunchDarkly believes it excels.
According to Forrester, buyers should look for providers that have a strong core of feature management and progressive release capabilities. Successful feature management platforms enable teams to adapt swiftly to increasing business demands without sacrificing control or compliance. Coupled with expanding experimentation capabilities, the LaunchDarkly platform strikes an optimal balance—promoting rapid innovation alongside stringent stability and compliance.
In the report, Forrester cites the deep developer roots and solid vision of LaunchDarkly, which includes recently launched UI updates designed to provide engineers with enhanced end-to-end visibility of feature flags across all environments. These improvements are poised to bolster LaunchDarkly platform's growing experimentation capabilities.
Key findings from the independent research firm include:
- Feature Management and Progressive Rollout: LaunchDarkly receives high scores in feature management and progressive rollout, offering a comprehensive user interface for tracking and management of feature flags throughout the software delivery lifecycle.
LaunchDarkly “reference customers praised the high-performance flag delivery network: ‘Switching a feature flag in the dashboard and seeing changes in our product is near instant. Competitors do not have that type of performance.’” (The Forrester Wave™: Feature Management And Experimentation Solutions, Q3 2024, Forrester Research, Inc., 8/6/24)
As LaunchDarkly looks ahead, the company is making continued investments in its platform to help businesses ship products faster with more control and less risk. This is increasingly important as the output of code is poised to increase exponentially with the adoption of generative AI in developer tools.
