Best On-Premises Feature Management Software

Wrap a feature in a flag, ship the code, and decide later who sees it. The same flag can hold a different state in each environment, so nothing has to be redeployed to change behaviour in production. Targeting capabilities include boolean flags, multivariate flags, remote config values, identities with traits, segments built from rules on those traits, and percentage rollouts for canary releases. For evaluation, Flagsmith supports server-side SDKs run in local evaluation mode, resolving flags in-process with no network call per check. The Edge API serves client and mobile SDKs from the nearest geographical region. Offline mode covers environments with no outbound connectivity. 15+ open source SDKs, including TypeScript, Python, Java, C#, Go, Ruby, PHP, Swift, Kotlin and Flutter. Governance features include audit logs, role-based access control, change requests with approvals, scheduled changes, SAML SSO and SCIM provisioning. Automation is possible using the REST API, Terra

Unleash is an open-source feature management software, built with large enterprises in mind. It's private, secure, scalable, and ready for the most complex setups out-of-the-box. Move from all-or-nothing releases to safe and frequent deployments Instead of perfecting a merge and fixing bugs when a set of features go live, you can release individual changes to your users, then immediately roll them back if something goes wrong. Scale your software and infrastructure at your own pace Reduce the complexity of feature flag management and tracking through a simple, user-friendly dashboard. Keep your user data to yourself. Full stop. Unleash offers private instances as part of its SaaS package. With assets like its proxy and Edge offerings, SaaS Unleash user data remains entirely with the customer. Significantly cut costs and reduce the drain on resources Reduce a significant amount of administrative costs, technical debt and helps you focus on the feature flags' benefits.

CloudBees is a complete software delivery platform. Self-service scalable, repeatable, compliant workflows help developers innovate faster. See how we help you release faster better safer software. Manage, release, and measure features at scale. Visibility should be more than a singular pipeline. Orchestrate your software delivery business end to end. Learn why 'meta' orchestration is a game-changer. Measure, analyze, and communicate how software delivery impacts business performance. Get answers about software delivery analytics. Ensure assets are always compliant at every stage, including in production, and automatically know what risks must be addressed. Stop rewriting scripts, fixing bugs, and waiting for builds. Serve yourself with fast, secure workflows, and feature management. Automatically enforce governance, security, and compliance without hindering flexibility. You're confident and developers are happier. Treat software delivery as a business. Proactively manage risk.

Harness is an AI-powered software delivery platform that helps development teams automate, manage, and secure the software development lifecycle. The platform provides continuous integration and continuous delivery capabilities for building, testing, and deploying applications across different environments. Harness supports infrastructure as code management, automated deployment verification, and release strategies such as canary and blue-green deployments. Its security capabilities include application security testing, software supply chain protection, and policy-based controls throughout the delivery process. The platform also provides cloud cost management, engineering analytics, and AI agents that assist with software delivery operations. Harness integrates with existing development tools, cloud providers, and security systems to coordinate software delivery workflows through a centralized platform.

Hypertune is the most flexible platform for feature flags, A/B testing, analytics and app configuration. Built with full end-to-end type-safety, Git-style version control and local, synchronous, in-memory flag evaluation. - Define type-safe, custom inputs like the current User, Organization, etc, and use them in feature flag rules to target exactly the users you want. - Create variables like user segments that you can reuse across different feature flags, and instantly debug flags for each user. - A/B tests, percentage-based rollouts, multivariate tests and machine learning loops let you seamlessly rollout, test and optimize new features. - Log analytics events with type-safe, custom payloads, and build flexible funnels and charts in the dashboard to measure the impact of every feature release. - Initialize the SDK with only the feature flags you need and partially evaluate flag logic on the edge for performance and security.