ArangoDB: The All-in-One Solution Replacing MongoDB, Redis, and Neo4j – ITFROMZERO

Table of Contents

Background: When “Frankenstein” Architecture Makes Life Difficult

Working on real-world projects, you’ve likely found yourself in this situation: using MongoDB for profiles, adding Redis for session caching, and installing Neo4j to handle social relationships (Graph).

This “patchwork” architecture creates countless issues. Synchronizing data between three different databases is a nightmare. Not to mention, managing backups, monitoring, and operations takes triple the effort.

That’s why I switched to ArangoDB – a Native Multi-model database. It’s not just a database with “bolted-on” features. From the core, its engine is designed to handle all three models. You only need one language: AQL (ArangoDB Query Language). If you want to streamline your tech stack while maintaining high performance, this is a choice worth every penny.

Installing ArangoDB: Quick, Simple, and Stable

Depending on your needs, you can choose Docker for quick experimentation or install it directly on the OS for a stable production environment.

Option 1: Lightning-fast Deployment with Docker

If you just want to quickly test features, Docker is the best way. Run just this one command:

docker run -e ARANGO_ROOT_PASSWORD=mysecretpassword -p 8529:8529 -d --name arangodb-instance arangodb/arangodb:latest

Then, open your browser and go to http://localhost:8529. Log in with the root user and the password you just set.

Option 2: Installing on Ubuntu (Recommended for Servers)

For long-term use, I always prefer direct installation on Linux. Here are the precise steps for Ubuntu 22.04/24.04:

# Add GPG key
curl -OL https://download.arangodb.com/arangodb311/DEBIAN/Release.key
sudo apt-key add - < Release.key

# Add repository
echo 'deb https://download.arangodb.com/arangodb311/DEBIAN/ /' | sudo tee /etc/apt/sources.list.d/arangodb.list

# Update and install
sudo apt-get update
sudo apt-get install arangodb3

Note: When the installation interface asks about the Storage Engine, choose RocksDB. This is the current default engine, offering extremely fast write speeds and smarter RAM management than the old MMFiles.

Practical Configuration: Tips to Keep Your System Running Smoothly

Installation is just the start; you need to tweak the /etc/arangodb3/arangod.conf file to prevent the database from consuming all your server resources.

Unlocking Remote IP Access

By default, ArangoDB only allows connections from 127.0.0.1. To manage it remotely, find the endpoint line and change it to:

endpoint = tcp://0.0.0.0:8529

Warning: Ensure you have the Firewall (UFW) enabled and set a strong root password (over 12 characters). Don’t leave your data “wide open” to the world.

Controlling RocksDB’s RAM “Appetite”

If your server has limited RAM (e.g., a 2GB VPS), ArangoDB can consume up to 70-80% of the memory, causing system hangs. Limit the cache by adding this to the [rocksdb] section:

[rocksdb]
# Limit cache to 512MB (equivalent to 536870912 bytes)
block-cache-size = 536870912

The Power of AQL: 1 Query Instead of 3 Round-trips

Don’t look for individual libraries. Leverage AQL. Its syntax is quite similar to SQL but with excellent JSON support. For example, to get 10 friends of ‘john’ in a social network, you only need a single Graph traversal command:

FOR v, e IN 1..1 ANY 'users/john' GRAPH 'social_network'
  LIMIT 10
  RETURN v.name

Monitoring & Operations: Survival Tips

A well-running system is one where we understand its every “breath.”

Monitoring: ArangoDB has a built-in endpoint at /_admin/metrics for Prometheus. You can pull this data directly into Grafana without needing a clunky exporter.
Fixing Latency: If Graph queries are running slow, check Vertex Centric Indexes. Proper indexing can reduce response times from 500ms to under 10ms.
Backup: Always use arangodump for automatic nightly backups. Don’t wait until data loss occurs to look for restore commands.

In summary, ArangoDB completely solves the problem of infrastructure complexity. Instead of maintaining three different types of databases, unifying everything makes the code cleaner and reduces the administrative burden on DevOps by 40-50%. If your project needs flexibility, try ArangoDB today!