HCL Launch vs Octopus Deploy

HCL Launch, also called HCL DevOps Deploy, coordinates software deployments across development environments. It automates application deployments and rollbacks, and can connect build and test tools to deploy, test, and promote builds. Applications are modeled from components, environments, resources, and processes; pipelines move versions through stages. Approval processes and quality gates support controlled promotion, while audits and reports document deployments. An inventory tracks desired and successfully deployed states in each environment and provides graphical compliance alerts. More than 300 integrations are available through plugins for areas including issue tracking, testing, security scanning, source control, databases, and middleware. Team- and role-based security maps to organizational structure; SSL encrypts client-server communications and can support authentication. An installation requires a server, database, and at least one agent. The server runs on Windows or UNIX systems, including Linux, and can run as a Kubernetes-managed containerized cluster. The 60-day license-free evaluation includes all product features; after the evaluation, deployments require licensed agents.

Octopus Deploy is a continuous delivery platform for release orchestration, deployment automation and runbook automation. Its release workflow includes versioning, promotion between environments, rolling, blue/green and canary deployments, configuration management, approvals, deployment freezes and coordination across projects. It can deploy to Kubernetes, Linux and Windows virtual machines, AWS, Azure and Google Cloud through Tentacle, SSH, command line or web service connections. Teams can run it in their own infrastructure or private cloud, or use hosted Octopus Cloud. Integrations include CI tools such as GitHub Actions, Jenkins and TeamCity, plus ITSM tools such as ServiceNow and Jira Service Management. The Free tier has no time limit and includes 10 projects, 10 tenants, 10 machines and 10 users. Professional costs $4,330 USD per year and includes 20 projects; Enterprise costs $24,600 USD per year and includes 100 projects. Support ranges from community support on Free to 8/5 weekday support on Professional and 24/7 support on Enterprise. Self-hosted Octopus Server runs on Windows Server or as a Linux container and requires SQL Server 2016+ or Azure SQL.