LIGHTWEIGHT CDC & ETL

Data flows without the cluster.

A self-hosted CDC & ETL platform that runs on a single VPS. No Kubernetes, no Kafka, no complexity. Just docker compose up.

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Pipeline: users_syncRunning

Source

PostgreSQL

MySQL

MariaDB

Raw

users_raw

orders_raw

Target

users

orders

3Supported Sources

2Sync Modes

3Containers

~200MBRAM Idle

Everything you need for data ingestion on a VPS.

CDC & ETL

Built-in change data capture with watermark-based incremental sync. No Kafka dependency.

Auto-discover Tables

Automatically detects source tables, maps columns and data types to your warehouse.

Visual DAG

Interactive DAG visualization showing pipeline structure and real-time run status.

Scheduling

APScheduler cron-based scheduling with configurable intervals and auto-retry.

Schema Drift Detection

Automatic detection of column changes and optional auto-ALTER to keep in sync.

Alerting

Send notifications to Telegram, Discord, or Slack on pipeline failures and anomalies.

Run History & Logs

Full audit trail of pipeline runs with structured logs and performance metrics.

Dead Letter Queue

Failed rows are captured and stored for inspection without blocking pipeline execution.

Connect your databases.

PostgreSQL

MySQL

MariaDB

+More coming

Three steps to flowing data.

Connect

Add your source database — PostgreSQL, MySQL, MariaDB, or MongoDB.

Configure

Select tables, choose sync mode (full or incremental), and set scheduling.

Monitor

Watch your data flow through the DAG dashboard with run history and alerts.

Built for teams without a dedicated infra team.

Feature	Arus	Airbyte OSS	Debezium	Custom Script
Kubernetes required	❌ No	✅ Yes	❌ No*	❌ No
DAG / Pipeline UI	✅ Built-in	✅ Basic	❌	❌
Setup time	2 hours	1-2 days	3-5 days	1 hour (no UI)
RAM usage (idle)	~200MB	~2GB	~3GB+	~100MB
Auto-retry	✅	✅	✅	❌
Schema drift handling	✅ Auto	✅ Auto	✅	❌
Dead letter queue	✅	✅	❌	❌
Connector language	Python	Python	Java	Anything

One command to start.

Copy & paste in your terminal

cat > .env << EOF
ARUS_JWT_SECRET=$(openssl rand -hex 32)
ARUS_ENCRYPTION_KEY=$(openssl rand -hex 32)
ARUS_DB_USER=arus
ARUS_DB_PASSWORD=arus_secret
ARUS_DB_NAME=arus_warehouse
ARUS_ADMIN_EMAIL=admin@arus.io
ARUS_ADMIN_PASSWORD=admin123
POSTGRES_USER=arus
POSTGRES_PASSWORD=arus_secret
POSTGRES_DB=arus_warehouse
EOF

docker network create arus-net

docker run -d --network arus-net --name arus-db \
  -v arus-db-data:/var/lib/postgresql/data \
  --env-file .env \
  postgres:15-alpine

docker run -d --network arus-net --name arus-api -p 8081:8081 \
  -e ARUS_DB_HOST=arus-db \
  --env-file .env \
  registry.edsuwarna.xyz/arus-api:main-latest

docker run -d --network arus-net --name arus-console -p 8082:80 \
  registry.edsuwarna.xyz/arus-console:main-latest

Your console will be at http://localhost:8082 — login with ARUS_ADMIN_EMAIL / ARUS_ADMIN_PASSWORD from your .env (defaults: admin@arus.io / admin123)

Ready to ship data pipelines without the overhead?

Get Arus running on your VPS in under 10 minutes.

Get Started