What Technology Stack and Deployment Options Does Corteza Use?

Corteza runs on a Golang backend and a Vue.js frontend, follows W3C standards where possible, exposes every component through a REST API, and is designed to be cloud-native and deployed via Docker containers. If your team works with Go services, JavaScript frontends, and container-based infrastructure, the stack will look familiar. If you rely on a different runtime or a strictly managed hosting model, you'll need to confirm those constraints before committing.

Backend: Golang

The server side is written in Go, the multi-threaded language Google developed to build and manage its own application infrastructure. In practice this means:

• Concurrency is built in. Go's multi-threaded model suits the request-heavy workloads typical of a low-code platform serving many users and automations at once.
• Single compiled binaries. Go services compile to self-contained executables, which simplifies packaging and reduces runtime dependencies compared to interpreted stacks.
• Straightforward horizontal scaling. Because the backend is stateless-friendly and containerized, you can add instances behind a load balancer rather than scaling a single machine vertically.

For a team already running Go services, Corteza fits into existing build pipelines and operational tooling with little friction.

Frontend: Vue.js

The user interface is built with Vue.js, described in the project's own materials as a lightweight JavaScript framework. For administrators and developers, the practical effect is a component-based frontend that behaves like a modern single-page application. If your organization standardizes on Vue, extending or theming the interface is a shorter path than adopting an unfamiliar framework.

Standards and the REST API

Corteza uses W3C standards and formats wherever possible, and all components are accessible via REST API. This matters for two reasons:

1. Integration without deep coupling. You can read and write Corteza data from external systems — ERPs, data warehouses, custom apps — over HTTP rather than through proprietary connectors.
2. Automation and scripting. Anything the UI does can, in principle, be driven programmatically, which is what makes the platform usable as a backend for custom workflows.

The site also notes native integration with Salesforce Unified Search, so teams migrating from Salesforce can keep search continuity across both platforms during a transition.

Deployment: Cloud-Native via Docker

Corteza is cloud-native and deploys via Docker containers. That single design choice drives most of your operational decisions:

Because the platform is containerized, the deployment question is less "which OS does it support" and more "where can I run containers." That covers most public clouds, private data centers, and hybrid setups.

How to Decide If This Stack Fits You

Work through these conditions before adopting:

• You have container infrastructure or are willing to build it. Docker is the deployment path, so a team with no container experience should budget for that learning curve.
• You want API-first integration. If your roadmap depends on connecting many external systems, the REST API coverage is a genuine advantage.
• You can support Go and Vue. Even if you don't modify the source, debugging and extending the platform is easier when these are in-house skills.
• You are evaluating it against Salesforce. The project positions itself as an open-source Salesforce alternative with similar build logic and a familiar user experience, and it supports the majority of Salesforce Standard Objects. The stack differences above are the technical side of that comparison; licensing and cost belong to a separate evaluation.

If most of these hold, the architecture is unlikely to be your blocker. If container deployment or Go/Vue expertise is out of reach, that gap — not the feature set — is what to resolve first.