Bucketeer vs Featurevisor
Bucketeer
bucketeer.ioFeaturevisor
featurevisor.comSide by side
| Figure | Bucketeer | Featurevisor |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | Yes | Yes |
| Android | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 2 |
| Spec score · Feature Flag Software | 9.1 (#3) | 8.7 (#7) |
| Deployment | Docker Compose is positioned for development and lightweight deployments, while Helm on Kubernetes is the production option. | Datafiles are served from the customer’s own CDN, with no vendor in the request path. |
| Feature flags | Flags can enable or disable functionality in real time without deploying new code. | Boolean flags use ordered targeting rules whose first matching rule determines the result. |
| Maker | Bucketeer is created and maintained by CyberAgent, Inc. | Featurevisor was created by software engineer Fahad Heylaal, who describes himself as based in the Netherlands. |
| What it does | Bucketeer is an open-source feature-management and experimentation platform for controlling software releases and experiments. | Featurevisor manages feature flags, experiments and remote configuration as files in Git, then builds datafiles consumed by SDKs. |
Plans
In their own words
Bucketeer
Bucketeer is an open-source, self-hosted feature flag platform intended to reduce deployment lead time and release risk. Teams can switch features on or off without deploying code, and use dark launches and staged rollouts based on user attributes, devices, and segments. Controls also include progressive rollouts, reusable segments, date-based targeting, flag rules, and prerequisites between flags. For A/B testing, Bucketeer uses Bayesian probabilities and says this can provide results with smaller sample sizes. Automated operations can schedule flag changes, react to event rates, or use webhooks for CI/CD or APM integrations such as Datadog, New Relic, and Dynatrace. Integrations also include Slack notifications, Firebase Cloud Messaging updates, a RESTful HTTP API, and OpenFeature compatibility. Governance features include environment-level Viewer, Editor, and Owner roles, audit logging, separate client, server, and public API keys, and environment isolation. Client SDKs cover Android, iOS, Flutter, JavaScript, React, and React Native; server SDKs cover Go and Node.js. Deployment options include Docker Compose and Kubernetes with Helm. The HTTP API is labeled Alpha.
Featurevisor
Featurevisor is a Git-based tool for managing feature flags, experiments and remote configuration through YAML files in a Git repository. Teams build datafiles for each environment, deploy them and evaluate features through an SDK. Rules can target users in order, roll out a percentage and assign weighted experiment variations. Typed global and feature variables allow defaults and targeted overrides, with schemas validated during datafile builds. Applications fetch static JSON datafiles and evaluate flags locally in memory, without a network request for each decision; the datafiles are served from the customer’s own CDN. YAML test specifications can check expected behavior locally or in CI, with failed assertions returning a non-zero exit. Git pull requests and CI linting, tests and builds provide change control. Featurevisor is self-hosted and MIT-licensed. Its free plan is free, with no per-seat pricing or evaluation service to keep running. Listed platforms include Android, iOS, Linux, macOS, web and Windows.