ArcadeDB Multi-Model Database

This is a repackaged open source software product wherein additional charges apply for cloudimg support services.

## Overview

ArcadeDB is an open source, multi-model database that stores graphs, documents, key-value pairs, time-series and vectors in a single engine, and speaks SQL, Cypher, Apache Gremlin, the MongoDB query API and the Redis protocol. It ships with Studio, a browser-based workbench for designing schema, running queries and exploring your data as an interactive graph. This AMI delivers ArcadeDB fully installed and hardened so you have a production-ready database running within minutes of launch - no manual installation, no insecure defaults, and no separate runtime to manage beyond the bundled Java engine.

## Why This AMI Over a Manual Install

Unlike a bare ArcadeDB download or a competing image that bakes in a shared or default administrator password, this AMI generates a unique root password on every first boot and stores it in a root-only file. You skip installing Java, unpacking the distribution, writing a systemd unit, configuring the reverse proxy and hardening the JMX surface - it is all done. The HTTP listener is bound to loopback and fronted by nginx; the unauthenticated JMX management agent that the stock server enables is fully disabled.

## Database Stack

ArcadeDB runs as a systemd service under a dedicated unprivileged user, with the Studio web UI and HTTP REST API reverse-proxied by nginx on port 80. Every data request is authenticated - an unauthenticated request is refused with 401 and a wrong password with 403. Database files for all models live on a dedicated, independently resizable EBS data volume so you can scale storage without touching the root volume. On first boot the image seeds a small Demo graph so you can open Studio and immediately run a query and browse a graph.

## AWS Integration Points

• Amazon CloudWatch - Forward the ArcadeDB service journal to CloudWatch Logs for centralized monitoring and alerting.
• Amazon EBS - Database files live on a dedicated EBS gp3 volume you can snapshot and resize independently of the OS disk.
• Application Load Balancer - Place an ALB in front of the instance to terminate TLS and distribute the HTTP API and Studio traffic.

## Secure First Boot

On the first boot of your instance, a one-shot systemd service generates a fresh, strong ArcadeDB root password unique to that instance, writes it into the server configuration and stores the plain-text value in a root-only file at /root/arcadedb-credentials.txt. No shared or default credentials ship in the image - the persisted user store is deleted before the AMI is captured, so the very first customer boot is what creates the root account.

## Getting Started

1. Launch the AMI in your VPC with a security group allowing inbound TCP on port 22 and, restricted to your trusted network, port 80.

2. SSH into the instance and read the generated root password: sudo cat /root/arcadedb-credentials.txt

3. Browse to http://your-instance-ip/ to open ArcadeDB Studio.

4. Sign in as the "root" user with the retrieved password and open the Demo database.

5. Run a query, design your own schema, and start loading data.

Recommended instance types: t3.medium for development and testing, m5.large or larger for production workloads.

## Use Cases

• Knowledge graphs and RAG - Model richly connected data and store vector embeddings in the same engine that holds your documents and relationships.
• Polyglot application backends - Serve graph, document and key-value workloads from one database instead of stitching several together.
• Fraud and network analysis - Traverse relationships with Cypher or Gremlin to surface patterns across large connected datasets.

## cloudimg Support

24/7 technical support by email and live chat. Our engineers assist with ArcadeDB deployment architecture, data modeling across the graph and document models, query tuning, upgrades and database administration. Critical issues receive a one-hour average response time.

To discuss your deployment requirements, contact our team at support@cloudimg.co.uk.

## Evaluation

We encourage you to launch an instance and explore Studio and the REST API to evaluate fit for your workload before committing to production use.

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