Featureflow vs Featurevisor
Featureflow
featureflow.comFeaturevisor
featurevisor.comSide by side
| Figure | Featureflow | Featurevisor |
|---|---|---|
| Price from | $99/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| iOS | Yes | Yes |
| Android | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 2 |
| Spec score · Feature Flag Software | 8.4 (#11) | 8.7 (#7) |
Plans
Featureflow
- FreeFree
- Team$99 a month
- Business$399 a month
- EnterprisePriced on request
In their own words
Featureflow
Featureflow manages feature releases for engineering and product teams. It separates deployment from release: teams can deploy code silently, then enable features later without another deployment. Targeting rules can use individual users, cohorts, dates, times of day and custom attributes. Teams can roll features out by percentage or environment, organize users into segments and use instant kill switches. Release pipelines arrange ordered phases with environment mapping, default targeting and approval gates. Integrations include Slack, Jira, CI/CD webhooks, a REST API and AI assistants through MCP. SDKs are listed for a broad set of server and client technologies, including Java, Node.js, Python, React Native, iOS and Android. Feature flag and user data are encrypted at rest in a SOC II compliant data centre. The free plan supports five seats, one project, two environments and one million SDK requests monthly. Team is $99 a month; Business is $399 a month. Enterprise pricing is custom, and the service lists a 14-day trial.
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.