Tggl is a feature flag and release management platform designed to help development and product teams collaborate effectively, accelerate release cycles, and make data-driven decisions. It enables developers to deploy code early behind feature flags, allowing product teams to manage releases independently within defined safe boundaries. This decoupling of code deployment from feature release facilitates faster shipping, progressive rollouts, and instant rollbacks.
The platform also offers robust A/B testing capabilities, allowing users to run experiments on various feature variations with real users to optimize business metrics. It provides powerful segmentation, multivariate testing, and reliable traffic splitting to ensure statistically valid results. Furthermore, Tggl assists in managing technical debt by automatically detecting dead code based on feature flag data and integrates smoothly with existing analytics stacks like Amplitude. It emphasizes security and privacy with GDPR compliance, data storage in the EU, and options for self-hosting proxies.
Tggl is ideal for software development teams, product managers, and QA professionals looking to adopt modern software development best practices, improve release frequency, reduce risk, and enhance product quality through controlled experimentation and deployment strategies.
Tggl is a platform for feature flags and release management that helps development and product teams safely deploy code, manage feature releases, and run A/B tests to optimize product performance and user experience.
How much does Tggl cost?
Specific pricing details are not provided on the website, but it offers a 30-day trial without requiring a credit card to get started.
Is Tggl free?
Tggl offers a 'Start for free' option and a 30-day trial without a credit card, indicating a freemium model or a free trial period before a paid subscription.
Who is Tggl for?
Tggl is built for developers, product teams, and QA teams. It helps developers deploy code faster and test in production safely, enables product teams to control releases and improve KPIs with A/B testing, and assists QA teams in safe in-production testing.