PostGIS on Ubuntu 24.04 LTS by cloudimg

PostGIS on Ubuntu 24.04 by cloudimg

PostGIS is the open source spatial extension for PostgreSQL, and the storage engine behind essentially every open source geographic stack. It adds geometry and geography column types to an ordinary relational database, spatial indexing so those columns stay fast at scale, and several hundred spatial SQL functions covering distance, containment, intersection, buffering and coordinate system transformation. Because it is an extension rather than a separate engine, spatial data lives alongside your ordinary tables and you query it with the same SQL, the same transactions, the same backups and the same tooling you already use.

This image ships PostgreSQL 18 with PostGIS 3 as a single node spatial database, installed unmodified from the official PostgreSQL archive so security updates keep flowing for the life of the release.

Why Choose cloudimg?

• A working spatial database answers the moment the instance boots, with a ready made database whose spatial extensions are already created
• No usable login ships inside the image: it carries no database at all, and a one shot service builds a pristine database on the first boot of every instance
• A superuser password and a separate application password are generated uniquely on your own virtual machine and written to a file only the root user can read
• The application role is not a superuser, so leaking it cannot grant superuser access
• Listens only on the loopback address by default, a deliberate choice for a data store, with a documented procedure for opening it to your own private network
• Database files live on a dedicated 32 GB volume rather than the operating system disk
• Ubuntu 24.04 LTS base, fully patched, with exactly one bootable kernel
• Licence notice and CVE audit report included on the image
• Every deployment paired with a step by step deploy guide
• 24/7 cloudimg support with guaranteed 24 hour response SLA

Recommended Virtual Machine Sizes

• Standard_B2s (2 vCPU, 4 GB RAM) for evaluation and small spatial datasets
• Standard_D2s_v3 (2 vCPU, 8 GB RAM) for production spatial workloads
• Standard_D4s_v5 (4 vCPU, 16 GB RAM) for larger datasets and concurrent analysis