Dokploy replaces heavy control planes for container workflows

Low overhead and native Compose dominance

I find Dokploy most useful for teams that need to squeeze every megabyte of RAM out of a 2GB VPS. Dokploy uses only 350MB of RAM and 0.8% idle CPU. This is a massive improvement over Coolify, which needs 500MB to 700MB of RAM and 5% to 6% idle CPU. This difference means Dokploy leaves about 1.6GB for containers on a 2GB server, while Coolify leaves only 1.3GB to 1.5GB. This extra headroom directly impacts the ability to run a database like PostgreSQL alongside an application without hitting swap. I find the native Docker Compose support a massive improvement over CapRover, which struggles with multi-service stacks. CapRover works with single-container deployments, which makes complex workflows difficult. Dokploy also supports PostgreSQL, MySQL, MariaDB, MongoDB, and Redis with built-in backup scheduling to external storage destinations. This automation beats CapRover, which requires setting up manual cron jobs and scripts for backup configuration. Dokploy also provides 350 templates for tools like Plausible and Pocketbase, which exceeds the 290 services in Coolify. This selection covers everything from AI and ML to development and CMS needs.

Scaling and licensing realities

Dokploy, launched in April 2024 by Mauricio Siu, has achieved over 6 million Docker Hub downloads. It uses Docker Swarm for multi-node clusters, which allows for distributing services across worker nodes. This is a significant advantage over Coolify’s management approach where each server remains largely independent. I see teams moving from CapRover to Dokploy specifically because CapRover lacks reliable Docker Compose support, which forces users to manage multi-container stacks as separate, disconnected applications instead of a single cohesive unit managed by a single file. Dokploy also includes an AI-powered Docker Compose generator to write configurations based on text descriptions. It connects to GitHub, GitLab, Bitbucket, and Gitea for deployments and supports Nixpacks as well as Heroku and Paketo buildpacks. However, the project remains at version 0.30.2, and teams must account for the fact that the DSAL license requires a commercial agreement for production use of proprietary directory contents. Users still need a separate SSH client for server debugging since there is no built-in terminal. This lacks the terminal access found in Coolify or Server Compass.

The verdict for container teams

I recommend Dokploy if teams prioritize a lightweight footprint and native Swarm orchestration for container workflows. The platform has 36,826 GitHub stars as of August 2026. While Coolify has 280+ one-click services and 60,955 stars, Dokploy provides a clean interface for managing modern stacks. The surge in self-hosted PaaS in 2026 follows reports from 37signals about saving $2 million per year after leaving AWS. This cost reduction drives teams toward Dokploy’s 0.8% CPU idle usage. While CapRover has been around since 2017 and has 15,139 stars, its development pace has slowed. I suggest you check the specific licensing for the /proprietary directory before moving production workloads. One might consider if the pre-1.0 status and the licensing split create too much risk for production stability. If teams need a tool that handles deployments, databases, and monitoring in one tiny package, Dokploy works well. Can teams handle the manual overhead of managing a pre-1.0 project?