AI-powered cost and query observability for Snowflake
Project description
❄️ FrostWatch
Snowflake cost monitoring shouldn't cost more than the savings.
FrostWatch is an open source, self-hostable, AI-powered cost and query observability tool for Snowflake. Point it at your Snowflake account and get instant answers to "where is all our money going?" — no SaaS contract, no percentage-of-spend pricing, no phone-home.
What it does
- Cost breakdown by warehouse, user, role, and query tag — updated on a schedule you control
- Anomaly detection that flags unusual spend spikes against a rolling baseline
- Plain-English explanations of anomalies and expensive queries, powered by your own LLM (Anthropic, OpenAI, Gemini, or a local Ollama model)
- Query recommendations — suggested rewrites, warehouse right-sizing, clustering candidates
- Weekly digests delivered to Slack or email
- Clean web UI — no BI tool required
Quickstart (under 5 minutes)
Option A — Docker (recommended)
# 1. Copy and edit the config
cp frostwatch.yaml.example frostwatch.yaml
# Edit frostwatch.yaml with your Snowflake credentials and LLM API key
# 2. Start
docker compose up -d
# 3. Open the UI
open http://localhost:8000
Option B — pip
pip install frostwatch
# Initialize config
frostwatch config init
# Edit ~/.frostwatch/config.yaml
# Start the server
frostwatch serve
Option C — from source
git clone https://github.com/your-org/frostwatch
cd frostwatch
# Install Python package in editable mode
pip install -e ".[dev]"
# Build the frontend
cd frontend && npm install && npm run build && cd ..
# Initialize config
frostwatch config init
# Run
frostwatch serve --reload
Configuration
All config lives in ~/.frostwatch/config.yaml (or the path you set via FROSTWATCH_DATA_DIR). Every field is also settable via environment variable with the FROSTWATCH_ prefix.
snowflake_account: "xy12345.us-east-1"
snowflake_user: "your_user"
snowflake_password: "your_password"
snowflake_role: "ACCOUNTADMIN" # needs SELECT on ACCOUNT_USAGE
llm_provider: "anthropic" # anthropic | openai | gemini | ollama
llm_api_key: "sk-ant-..."
slack_webhook_url: "https://hooks.slack.com/services/..."
schedule_cron: "0 8 * * 1" # weekly Monday 8am digest
credits_per_dollar: 3.0 # adjust for your contract rate
See frostwatch.yaml.example for the full reference.
Snowflake permissions
FrostWatch only reads from SNOWFLAKE.ACCOUNT_USAGE. The minimum required grant:
GRANT IMPORTED PRIVILEGES ON DATABASE SNOWFLAKE TO ROLE your_role;
The ACCOUNTADMIN role already has this. For a least-privilege setup, create a dedicated role.
LLM providers
| Provider | Set llm_provider to |
Notes |
|---|---|---|
| Anthropic (Claude) | anthropic |
Default model: claude-opus-4-7 |
| OpenAI | openai |
Default model: gpt-4o |
| Google Gemini | gemini |
Default model: gemini-1.5-pro |
| Ollama (local) | ollama |
Default model: llama3; set llm_base_url |
FrostWatch is BYO-LLM. We never proxy your data through a hosted service.
CLI reference
frostwatch serve Start the web server (default: http://localhost:8000)
frostwatch sync Run a one-off sync without starting the server
frostwatch config init Create ~/.frostwatch/config.yaml from the example
frostwatch config show Print current config (secrets masked)
frostwatch version Print version
Architecture
┌─────────────┐ HTTPS ┌──────────────────────────────────┐
│ Snowflake │ ◄──────────── │ frostwatch serve │
│ ACCOUNT_ │ │ │
│ USAGE views │ │ FastAPI + APScheduler │
└─────────────┘ │ ├── /api/* (REST endpoints) │
│ └── / (React SPA) │
┌─────────────┐ │ │
│ LLM API │ ◄──────────── │ SQLite (local cache + history) │
│ (your key) │ └──────────────────────────────────┘
└─────────────┘
FrostWatch runs entirely inside your infrastructure. The only outbound calls are to Snowflake and your LLM provider — both using credentials you supply.
Roadmap
See ROADMAP.md.
Contributing
Contributions are welcome. Please open an issue before starting large changes.
- Code of conduct: CODE_OF_CONDUCT.md
- Contribution guide: CONTRIBUTING.md
License
MIT
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