Getting Started with Azure Cosmos DB for PostgreSQL

I wrote “Getting Started with Azure Cosmos DB for PostgreSQL” to share practical, production-minded guidance on this topic.

What is Azure Cosmos DB for PostgreSQL?

Azure Cosmos DB for PostgreSQL is a managed database service that extends PostgreSQL with distributed capabilities. It uses the Citus extension to transform PostgreSQL into a distributed database capable of handling massive workloads.

Key Features

• Horizontal scaling: Distribute data across multiple nodes
• High performance: Parallel query execution across shards
• PostgreSQL compatibility: Use your existing PostgreSQL skills and tools
• Managed service: Azure handles maintenance, backups, and updates

Creating Your First Cluster

# Using Azure CLI to create a Cosmos DB for PostgreSQL cluster
az cosmosdb postgres cluster create \
    --name mypostgrescluster \
    --resource-group myResourceGroup \
    --location eastus \
    --coordinator-vcores 4 \
    --coordinator-storage-size 512 \
    --node-count 2 \
    --node-vcores 4 \
    --node-storage-size 512

Connecting to Your Cluster

Once your cluster is provisioned, you can connect using any PostgreSQL client:

import psycopg2

connection = psycopg2.connect(
    host="c-mypostgrescluster.postgres.cosmos.azure.com",
    database="citus",
    user="citus",
    password="your_password",
    port=5432,
    sslmode="require"
)

cursor = connection.cursor()
cursor.execute("SELECT version();")
print(cursor.fetchone())

When to Use Cosmos DB for PostgreSQL

Consider this service when:

• Your single-node PostgreSQL is reaching its limits
• You need to handle millions of requests per second
• Your dataset is growing beyond what a single server can handle
• You want the familiarity of PostgreSQL with distributed capabilities

In upcoming posts, we’ll dive deeper into sharding strategies, distributed queries, and performance optimization techniques.\n\n## Takeaways\n\nAdd a concise, personal takeaway and recommended next steps here.\n