Automatisch vs n8n vs Activepieces: Best Self-Hosted Workflow Automation 2026

Zapier charges $50/month for basic plans and locks your data in proprietary cloud infrastructure. If you want full control over your automation workflows, three open-source platforms stand out in 2026: Automatisch, n8n, and Activepieces.

Each takes a different approach to workflow automation. Automatisch prioritizes simplicity with a clean visual builder. n8n offers the deepest integration ecosystem with 400+ app connectors. Activepieces focuses on modularity with a growing marketplace of pieces. This guide compares all three side by side, including Docker deployment configs, feature breakdowns, and self-hosting requirements.

Why Self-Host Your Workflow Automation

Running workflow automation on your own server gives you three critical advantages:

• Data sovereignty: Webhooks, API credentials, and processed payloads never leave your infrastructure. This matters for GDPR compliance and handling sensitive business data.
• Unlimited executions: Cloud platforms charge per task or workflow run. Self-hosted tools have no execution caps — run thousands of workflows for the cost of a $5 VPS.
• Custom integrations: Add internal API connectors, on-premise database connections, or proprietary tool integrations that no SaaS platform would support.

For teams already managing servers for other self-hosted tools, adding a workflow automation platform is a natural extension. All three tools in this guide run as Docker containers with minimal resource requirements.

Project Overview and GitHub Stats

Automatisch is the most straightforward option — built explicitly as a Zapier alternative with a familiar interface. n8n is the most mature project, with nearly a decade of development and the largest integration library. Activepieces sits in the middle, offering a modular “pieces” architecture that makes it easy to contribute and extend.

Deploying Automatisch

Automatisch uses a multi-service Docker Compose setup with PostgreSQL for persistence and Redis for the job queue. The platform separates the main application and worker processes.

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services:
  main:
    image: 'automatisch/automatisch:latest'
    ports:
      - '3000:3000'
    depends_on:
      postgres:
        condition: service_healthy
      redis:
        condition: service_started
    environment:
      - HOST=0.0.0.0
      - PORT=3000
      - APP_ENV=production
      - REDIS_HOST=redis
      - POSTGRES_HOST=postgres
      - POSTGRES_DATABASE=automatisch
      - POSTGRES_USER=automatisch_user
      - POSTGRES_PASSWORD=your-secure-password
      - ENCRYPTION_KEY=generate-a-random-key-here
      - WEBHOOK_SECRET_KEY=generate-another-random-key
      - APP_SECRET_KEY=generate-third-random-key
    volumes:
      - automatisch_storage:/automatisch/storage

  worker:
    image: 'automatisch/automatisch:latest'
    depends_on:
      - main
    environment:
      - APP_ENV=production
      - REDIS_HOST=redis
      - POSTGRES_HOST=postgres
      - POSTGRES_DATABASE=automatisch
      - POSTGRES_USER=automatisch_user
      - POSTGRES_PASSWORD=your-secure-password
      - ENCRYPTION_KEY=generate-a-random-key-here
      - WEBHOOK_SECRET_KEY=generate-another-random-key
      - APP_SECRET_KEY=generate-third-random-key
      - WORKER=true
    volumes:
      - automatisch_storage:/automatisch/storage

  postgres:
    image: 'postgres:14.5'
    environment:
      - POSTGRES_DB=automatisch
      - POSTGRES_USER=automatisch_user
      - POSTGRES_PASSWORD=your-secure-password
    volumes:
      - postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: ['CMD-SHELL', 'pg_isready -U automatisch_user -d automatisch']
      interval: 10s
      timeout: 5s
      retries: 5

  redis:
    image: 'redis:7.0.4'
    volumes:
      - redis_data:/data

volumes:
  automatisch_storage:
  postgres_data:
  redis_data:

Generate secure keys for the three required secrets:

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ENCRYPTION_KEY=$(openssl rand -hex 32)
WEBHOOK_SECRET_KEY=$(openssl rand -hex 32)
APP_SECRET_KEY=$(openssl rand -hex 32)
echo "ENCRYPTION_KEY=$ENCRYPTION_KEY"
echo "WEBHOOK_SECRET_KEY=$WEBHOOK_SECRET_KEY"
echo "APP_SECRET_KEY=$APP_SECRET_KEY"

Start the stack:

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docker compose up -d

The web UI becomes available at http://your-server:3000. Automatisch also supports running behind a reverse proxy — place it behind Nginx or Caddy for TLS termination.

Deploying n8n

n8n offers the simplest Docker setup of the three. A single container handles both the web UI and workflow execution, making it ideal for small deployments.

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docker run -d \
  --name n8n \
  --restart unless-stopped \
  -p 5678:5678 \
  -v n8n_data:/home/node/.n8n \
  -e N8N_SECURE_COOKIE=true \
  -e GENERIC_TIMEZONE="UTC" \
  -e WEBHOOK_URL="https://n8n.yourdomain.com/" \
  n8nio/n8n:latest

For production deployments with PostgreSQL (recommended over SQLite):

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services:
  n8n:
    image: 'n8nio/n8n:latest'
    ports:
      - '5678:5678'
    depends_on:
      postgres:
        condition: service_healthy
    environment:
      - DB_TYPE=postgresdb
      - DB_POSTGRESDB_HOST=postgres
      - DB_POSTGRESDB_PORT=5432
      - DB_POSTGRESDB_DATABASE=n8n
      - DB_POSTGRESDB_USER=n8n_user
      - DB_POSTGRESDB_PASSWORD=your-secure-password
      - N8N_SECURE_COOKIE=true
      - GENERIC_TIMEZONE=UTC
      - WEBHOOK_URL=https://n8n.yourdomain.com/
      - N8N_BASIC_AUTH_ACTIVE=true
      - N8N_BASIC_AUTH_USER=admin
      - N8N_BASIC_AUTH_PASSWORD=your-admin-password
    volumes:
      - n8n_data:/home/node/.n8n

  postgres:
    image: 'postgres:16-alpine'
    environment:
      - POSTGRES_DB=n8n
      - POSTGRES_USER=n8n_user
      - POSTGRES_PASSWORD=your-secure-password
    volumes:
      - postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: ['CMD-SHELL', 'pg_isready -U n8n_user -d n8n']
      interval: 10s
      timeout: 5s
      retries: 5

volumes:
  n8n_data:
  postgres_data:

Access the n8n editor at http://your-server:5678. The visual workflow builder opens immediately, and you can start creating workflows with the built-in templates.

Deploying Activepieces

Activepieces uses a Docker Compose stack similar to Automatissh, with separate app, worker, PostgreSQL, and Redis services.

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services:
  app:
    image: ghcr.io/activepieces/activepieces:latest
    container_name: activepieces-app
    restart: unless-stopped
    ports:
      - '8080:80'
    depends_on:
      - postgres
      - redis
    environment:
      - AP_API_KEY=your-api-key-here
      - AP_ENCRYPTION_KEY=your-encryption-key
      - AP_POSTGRES_DATABASE=activepieces
      - AP_POSTGRES_PASSWORD=your-db-password
      - AP_POSTGRES_USERNAME=ap_user
      - AP_POSTGRES_HOST=postgres
      - AP_REDIS_HOST=redis
      - AP_REDIS_PORT=6379
      - AP_EXECUTION_MODE=UNSANDBOXED
      - AP_FRONTEND_URL=http://localhost:8080
    volumes:
      - ./cache:/usr/src/app/cache
    networks:
      - activepieces

  postgres:
    image: 'postgres:14-alpine'
    container_name: ap-postgres
    restart: unless-stopped
    environment:
      - POSTGRES_DB=activepieces
      - POSTGRES_PASSWORD=your-db-password
      - POSTGRES_USER=ap_user
    volumes:
      - postgres_data:/var/lib/postgresql/data
    networks:
      - activepieces

  redis:
    image: 'redis:7-alpine'
    container_name: ap-redis
    restart: unless-stopped
    volumes:
      - redis_data:/data
    networks:
      - activepieces

volumes:
  postgres_data:
  redis_data:
networks:
  activepieces:

Start the stack:

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docker compose up -d

Activepieces runs on port 8080. The platform includes a built-in API for programmatic workflow management, which is useful for CI/CD pipeline integration.

Feature Comparison

When to Choose Each Platform

Choose Automatisch if you want the simplest possible Zapier replacement. The visual builder is clean and intuitive, and setup takes minutes. It is ideal for small teams that need basic webhook-to-action workflows without complex branching logic. The trade-off is fewer built-in integrations and no code execution steps.

Choose n8n if you need maximum flexibility. With 400+ integrations, a built-in code node for custom JavaScript/Python, advanced error handling with retry policies, and sub-workflow support, n8n handles complex automation scenarios. The fair-code license means self-hosting is free, but commercial redistribution requires a paid license.

Choose Activepieces if you want a modern, MIT-licensed platform with a modular architecture. The “pieces” system makes it straightforward to build custom integrations. Activepieces supports code steps, has a growing community marketplace, and scales horizontally with multiple worker replicas.

Reverse Proxy Setup

All three platforms benefit from running behind a reverse proxy with TLS termination. Here is a Caddy configuration that routes traffic to all three services on the same server:

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automatisch.yourdomain.com {
    reverse_proxy localhost:3000
}

n8n.yourdomain.com {
    reverse_proxy localhost:5678
}

activepieces.yourdomain.com {
    reverse_proxy localhost:8080
}

Caddy automatically provisions and renews TLS certificates via Let’s Encrypt. For Nginx, use individual server blocks with Certbot for certificate management. If you are managing certificates across multiple self-hosted services, consider a dedicated certificate automation tool. See our TLS certificate automation guide for detailed comparison of options.

Monitoring and Maintenance

Each platform stores workflow execution logs in its database. For centralized log management across multiple self-hosted services, consider piping container logs to a dedicated logging stack. Our log shipping comparison covers the best tools for aggregating logs from Docker containers.

Regular maintenance tasks for all three platforms:

• Database backups: Use pg_dump for PostgreSQL databases on a daily schedule
• Container updates: Pull latest images weekly and restart services
• Disk monitoring: Ensure volume mounts have sufficient space for logs and storage
• Webhook URL validation: Verify webhook endpoints after any domain or certificate changes

Internal Links and Related Guides

If you are building out a self-hosted automation stack, workflow platforms are just one piece. For dependency updates across your projects, check our dependency automation comparison which covers automated pull request tools. And for teams managing complex data pipelines, our workflow orchestration guide compares Dagu, Netflix Conductor, and Apache Airflow for data-focused use cases.

FAQ

Is Automatisch really free to self-host?

Yes. Automatisch is open-source under the AGPL-3.0 license. You can self-host the full platform on your own infrastructure at no cost. The company offers a cloud-hosted version for users who do not want to manage servers, but all core features are available in the self-hosted edition.

Can n8n be used commercially without paying?

n8n uses a “fair-code” license called the Sustainable Use License. This allows free self-hosting for internal business use, personal projects, and non-commercial purposes. If you want to offer n8n as a hosted service to third parties (competing with n8n’s own cloud offering), you need a commercial license. For most organizations running their own workflows internally, the free license is sufficient.

Which platform has the most integrations?

n8n leads with 400+ built-in integrations, covering everything from common SaaS tools to developer services like GitHub, Jira, and AWS. Activepieces has 200+ pieces and is growing quickly. Automatisch has around 50 integrations focused on the most common Zapier use cases (email, Slack, Google Sheets, webhooks). If you need niche connectors, n8n is the safest choice.

How much RAM does each platform need?

n8n can run in as little as 256MB RAM when using SQLite as the database (single container mode). With PostgreSQL, plan for 512MB. Automatissh and Activepieces both require approximately 512MB minimum due to their multi-service architecture (app + worker + PostgreSQL + Redis). For production workloads with many concurrent executions, allocate 1-2GB per platform.

Can I migrate workflows between these platforms?

There is no direct migration path between platforms. Each uses a different workflow definition format. However, since all three support standard webhook triggers and HTTP request actions, you can replicate workflow logic manually by rebuilding the steps in the target platform. For simple webhook-to-action flows, migration typically takes under an hour.

Do these platforms support environment variables and secrets management?

All three support environment variable configuration via Docker. n8n has a built-in credentials manager that encrypts stored API keys. Activepieces stores credentials in its PostgreSQL database with encryption. Automatissh uses an encryption key (set via ENCRYPTION_KEY) to protect stored credentials. For a centralized secret management approach across all your self-hosted tools, consider a dedicated secrets manager. See our secret management comparison for options.