SkillAgentSearch skills...

Titan

Titan Core - Snowflake infrastructure-as-code. Provision environments, automate deploys, CI/CD. Manage RBAC, users, roles, and data access. Declarative Python Resource API. Change Management tool for the Snowflake data warehouse.

Install / Use

/learn @Titan-Systems/Titan
About this skill

Quality Score

0/100

Category

Operations

Supported Platforms

Universal

README

titan core - Snowflake infrastructure as code

Titan Core helps you provision, deploy, and secure resources in Snowflake. It replaces tools like Terraform, Schemachange, or Permifrost.

Deploy any Snowflake resource, including users, roles, schemas, databases, integrations, pipes, stages, functions, stored procedures, and more. Convert adhoc, bug-prone SQL management scripts into simple, repeatable configuration.

Titan Core is for:

  • DevOps engineers looking to automate and manage Snowflake infrastructure.
  • Analytics engineers working with dbt who want to manage Snowflake resources without macros.
  • Data platform teams who need to reliably manage Snowflake with CI/CD.
  • Organizations that prefer a git-based workflow for infrastructure management.
  • Teams seeking to replace Terraform for Snowflake-related tasks.
    ╔══════════╗                                           ╔═══════════╗       
    ║  CONFIG  ║                                           ║ SNOWFLAKE ║       
    ╚══════════╝                                           ╚═══════════╝       
  ┏━━━━━━━━━━━┓                                        ┏━━━━━━━━━━━┓            
┌─┫ WAREHOUSE ┣─────┐                                ┌─┫ WAREHOUSE ┣───────────┐
│ ┗━━━━━━━━━━━┛     │                    ALTER       │ ┗━━━━━━━━━━━┛           │
│ name:         ETL │─────┐           ┌─ WAREHOUSE ─▶│ name:         ETL       │
│ auto_suspend: 60  │     │           │              │ auto_suspend: 300 -> 60 │
└───────────────────┘  ╔══▼═══════════╩═╗            └─────────────────────────┘
                       ║                ║                                      
                       ║   TITAN CORE   ║                                      
  ┏━━━━━━┓             ║                ║              ┏━━━━━━┓                
┌─┫ ROLE ┣──────────┐  ╚══▲═══════════╦═╝            ┌─┫ ROLE ┣────────────────┐
│ ┗━━━━━━┛          │     │           │              │ ┗━━━━━━┛                │
│ name: TRANSFORMER │─────┘           └─ CREATE ────▶│ name: TRANSFORMER       │
└───────────────────┘                    ROLE        └─────────────────────────┘

Key Features

  • Declarative » Generates the right SQL to make your config and account match

  • Comprehensive » Nearly every Snowflake resource is supported

  • Flexible » Write resource configuration in YAML or Python

  • Fast » Titan Core runs 50-90% faster than Terraform and Permifrost

  • Migration-friendly » Generate config automatically with the export CLI

Open Source

This project is licensed under the Apache 2.0 License - see LICENSE for details. The source code for Titan Core is available on Github.

Documentation

You can find comprehensive Titan Core documentation on GitBook.

Getting Started

If you're new, the best place to start is with the Python package.

Install from PyPi (MacOS, Linux)

python -m venv .venv
source .venv/bin/activate
python -m pip install titan-core

Install from PyPi (Windows)

python -m venv .venv
.\.venv\Scripts\activate
python -m pip install titan-core

Python example

import os
import snowflake.connector

from titan.blueprint import Blueprint, print_plan
from titan.resources import Grant, Role, Warehouse

# Configure resources by instantiating Python objects.

role = Role(name="transformer")

warehouse = Warehouse(
    name="transforming",
    warehouse_size="large",
    auto_suspend=60,
)

usage_grant = Grant(priv="usage", to=role, on=warehouse)

# Titan compares your config to a Snowflake account. Create a Snowflake 
# connection to allow Titan to connect to your account.

connection_params = {
    "account": os.environ["SNOWFLAKE_ACCOUNT"],
    "user": os.environ["SNOWFLAKE_USER"],
    "password": os.environ["SNOWFLAKE_PASSWORD"],
    "role": "SYSADMIN",
}
session = snowflake.connector.connect(**connection_params)

# Create a Blueprint and pass your resources into it. A Blueprint helps you
# validate and deploy a set of resources.

bp = Blueprint(resources=[
    role,
    warehouse,
    usage_grant,
])

# Blueprint works like Terraform. Calling plan(...) will compare your config
# to the state of your Snowflake account and return a list of changes.

plan = bp.plan(session)
print_plan(plan) # =>
"""
» titan core
» Plan: 4 to add, 0 to change, 0 to destroy.

+ urn::ABCD123:warehouse/transforming {
  + name                                = "transforming"
  + owner                               = "SYSADMIN"
  + warehouse_type                      = "STANDARD"
  + warehouse_size                      = "LARGE"
  ...
}

+ urn::ABCD123:role/transformer {
  + name    = "transformer"
  + owner   = "USERADMIN"
  + tags    = None
  + comment = None
}

+ urn::ABCD123:grant/TRANSFORMER?priv=USAGE&on=warehouse/TRANSFORMING {
  + priv         = "USAGE"
  + on           = "transforming"
  + on_type      = "WAREHOUSE"
  + to           = TRANSFORMER
  ...
}
"""

# Calling apply(...) will convert your plan into the right set of SQL commands
# and run them against your Snowflake account.
bp.apply(session, plan) # =>
"""
[TITAN_USER:SYSADMIN]  > USE SECONDARY ROLES ALL
[TITAN_USER:SYSADMIN]  > CREATE WAREHOUSE TRANSFORMING warehouse_type = STANDARD ...
[TITAN_USER:SYSADMIN]  > USE ROLE USERADMIN
[TITAN_USER:USERADMIN] > CREATE ROLE TRANSFORMER
[TITAN_USER:USERADMIN] > USE ROLE SYSADMIN
[TITAN_USER:SYSADMIN]  > GRANT USAGE ON WAREHOUSE transforming TO TRANSFORMER
"""

Using the CLI

You can use the CLI to generate a plan, apply a plan, or export resources. To use the CLI, install the Python package and call python -m titan from the command line.

The CLI allows you to plan and apply a Titan Core YAML config. You can specify a single input file or a directory of configs.

In addition to plan and apply, the CLI also allows you to export resources. This makes it easy to generate a config for an existing Snowflake environment.

To connect with Snowflake, the CLI uses environment variables. The following are supported:

  • SNOWFLAKE_ACCOUNT
  • SNOWFLAKE_USER
  • SNOWFLAKE_PASSWORD
  • SNOWFLAKE_DATABASE
  • SNOWFLAKE_SCHEMA
  • SNOWFLAKE_ROLE
  • SNOWFLAKE_WAREHOUSE
  • SNOWFLAKE_MFA_PASSCODE
  • SNOWFLAKE_AUTHENTICATOR

If using key-pair auth instead of password, use the following environment variables in place of SNOWFLAKE_PASSWORD:

  • SNOWFLAKE_PRIVATE_KEY_PATH
  • PRIVATE_KEY_PASSPHRASE (if using encrypted key)

Note: the value for SNOWFLAKE_AUTHENTICATOR should be set to SNOWFLAKE_JWT when using key-pair auth.

CLI Example

Show the help message

titan --help

# Usage: titan [OPTIONS] COMMAND [ARGS]...
# 
#   titan core helps you manage your Snowflake environment.
# 
# Options:
#   --help  Show this message and exit.
# 
# Commands:
#   apply    Apply a resource config to a Snowflake account
#   connect  Test the connection to Snowflake
#   export   Generate a resource config for existing Snowflake resources
#   plan     Compare a resource config to the current state of Snowflake

Apply a resource config to Snowflake

# Create a resource config file
cat <<EOF > titan.yml
roles:
  - name: transformer

warehouses:
  - name: transforming
    warehouse_size: LARGE
    auto_suspend: 60

grants:
  - to_role: transformer
    priv: usage
    on_warehouse: transforming
EOF

# Set connection variables
export SNOWFLAKE_ACCOUNT="my-account"
export SNOWFLAKE_USER="my-user"
export SNOWFLAKE_PASSWORD="my-password"

# Generate a plan
titan plan --config titan.yml

# Apply the config
titan apply --config titan.yml

Export existing Snowflake resources to YAML.

titan export \
  --resource=warehouse,grant,role \
  --out=titan.yml

The Titan Core Python package installs the CLI script titan. You can alternatively use Python CLI module syntax if you need fine-grained control over the Python environment.

python -m titan plan --config titan.yml

Using the GitHub Action

The Titan Core GitHub Action allows you to automate the deployment of Snowflake resources using a git-based workflow.

GitHub Action Example

-- .github/workflows/titan.yml
name: Deploy to Snowflake with Titan
on:
  push:
    branches: [ main ]
    paths:
    - 'titan/**'

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v4

      - name: Deploy to Snowflake
        uses: Titan-Systems/titan-core-action@main
        with:
          run-mode: 'create-or-update'
          resource-path: './titan'
          allowlist: 'warehouse,role,grant'
          dry-run: 'false'
        env:
          SNOWFLAKE_ACCOUNT: ${{ secrets.SNOWFLAKE_ACCOUNT }}
          SNOWFLAKE_USER: ${{ secrets.SNOWFLAKE_USER }}
          SNOWFLAKE_PASSWORD: ${{ secrets.SNOWFLAKE_PASSWORD }}
          SNOWFLAKE_ROLE: ${{ secrets.SNOWFLAKE_ROLE }}
          SNOWFLAKE_WAREHOUSE: ${{ secrets.SNOWFLAKE_WAREHOUSE }}

Titan Core Limitations

  • Titan Core uses names as unique identifiers. Renaming a resource will create a new one.
  • Titan Core is not an ORM. It's not built to replace tools like SQLAlchemy.
  • Titan Core is under active development. Some resources are not yet supported.

titan core vs other tools

| Feature | Titan Core | Terraform | Schemachange | Permifrost | SnowDDL | |-----------------------------------------|------------|-----------|--------------| -----------| -------- | | Plan and Execute Changes | ✅ | ✅ | ❌ | ✅ | ✅ | | Declarative Config | ✅ | ✅ | ❌ | ✅ | ✅ | | No State File Dependency | ✅ | ❌ | ✅ | ✅ | ✅ | | Python-Based Definitions | ✅ | w/ CDKTF | ❌ | ❌ | ✅ | | SQL Support | ✅ | ❌ | ✅ | ❌ | ❌ | | Dynamic Role Switching

View on GitHub
GitHub Stars480
CategoryOperations
Updated11d ago
Forks40

Languages

Python

Security Score

100/100

Audited on Mar 16, 2026

No findings