Transform your Snowflake Data Dictionary into active ODGS runtime enforcement schemas.
Snowflake stores your data. ODGS enforces the rules.
The ODGS Snowflake Bridge is an institutional connector that reads Snowflake INFORMATION_SCHEMA metadata and transforms table and column definitions into cryptographically addressable ODGS enforcement schemas. Column constraints, nullability rules, and type assertions become mechanically executable governance rules enforced at pipeline runtime — with full audit trail support via the ODGS S-Cert Registry.
Architecturally aligned with CEN/CENELEC JTC 25 and NEN 381 525 federated data sovereignty principles.
flowchart LR
subgraph SF["Snowflake"]
IS["INFORMATION_SCHEMA"]
TBL["Tables & Columns"]
CON["Constraints\n(NOT NULL, Types, VARCHAR lengths)"]
end
subgraph Bridge["odgs-snowflake-bridge"]
T["SnowflakeBridge\n.sync()"]
TR["Transformer\n→ ODGS Schema"]
end
subgraph ODGS["ODGS Protocol (odgs>=5.1.0)"]
I["Universal Interceptor\nHARD_STOP / SOFT_STOP / WARNING / LOG_ONLY"]
WB["Write-Back\n→ Snowflake Table Comments"]
end
subgraph MP["Metric Provenance (Commercial)"]
SC["S-Cert Registry\n(JWS Audit Seal)"]
end
IS & TBL & CON --> T --> TR --> I
I -->|"sovereign_audit.log"| WB --> SF
I -->|"Certified S-Cert"| SC
| Column Property | Rule Type | Example |
|---|---|---|
NOT NULL constraint |
NOT_NULL |
TXN_ID != None |
| Data type | TYPE_CHECK |
type(AMOUNT) == 'numeric' |
VARCHAR(N) length |
MAX_LENGTH |
len(CURRENCY) <= 3 |
Supports 35+ Snowflake data types including VARIANT, OBJECT, and ARRAY semi-structured types.
pip install odgs-snowflake-bridgefrom odgs_snowflake import SnowflakeBridge
bridge = SnowflakeBridge(
account="xy12345.eu-west-1",
user="odgs_service",
password="...",
organization="acme_corp",
)
# Sync all tables → ODGS metric definitions
bridge.sync(
database="PRODUCTION",
output_dir="./schemas/custom/",
output_type="metrics",
)
# Sync column constraints → enforcement rules
bridge.sync(
database="PRODUCTION",
schema_filter="FINANCE",
output_dir="./schemas/custom/",
output_type="rules",
severity="HARD_STOP",
)# Using environment variables
export SNOWFLAKE_ACCOUNT=xy12345.eu-west-1
export SNOWFLAKE_USER=odgs_service
export SNOWFLAKE_PASSWORD=...
odgs-snowflake sync \
--org acme_corp \
--database PRODUCTION \
--schema FINANCE \
--type rules \
--severity HARD_STOP
# SSO / Browser authentication
odgs-snowflake sync \
--account xy12345.eu-west-1 \
--user user@company.com \
--authenticator externalbrowser \
--org acme_corp \
--database PRODUCTION
# Push compliance results back to Snowflake table comments
odgs-snowflake write-back \
--log-path ./sovereign_audit.log \
--account xy12345.eu-west-1 \
--user odgs_service \
--password YOUR_PASSWORD{
"$schema": "https://metricprovenance.com/schemas/odgs/v5",
"metadata": {
"source": "snowflake",
"organization": "acme_corp",
"tables_processed": 8,
"items_generated": 47
},
"items": [
{
"rule_urn": "urn:odgs:custom:acme_corp:rule:transactions_amount_not_null",
"name": "TRANSACTIONS.AMOUNT NOT NULL",
"severity": "HARD_STOP",
"constraint_type": "NOT_NULL",
"target_table": "PRODUCTION.FINANCE.TRANSACTIONS",
"plain_english_description": "Transaction amount must be present in all financial records",
"content_hash": "a1b2c3..."
}
]
}The bridge supports Bi-Directional Sync: it parses your sovereign_audit.log offline and pushes compliance results back into Snowflake table comments using ALTER TABLE ... SET COMMENT — creating a seamless feedback loop for Data Stewards without compromising the air-gapped nature of the core ODGS protocol.
| Method | CLI Flags | Environment Variables |
|---|---|---|
| Password | --user + --password |
SNOWFLAKE_USER + SNOWFLAKE_PASSWORD |
| SSO / Browser | --authenticator externalbrowser |
— |
| Account | --account |
SNOWFLAKE_ACCOUNT |
This bridge is designed for organisations governed by:
| Regulation | Relevance |
|---|---|
| DORA (Regulation EU 2022/2554) | ICT operational resilience — data integrity and lineage traceability across Snowflake workloads |
| EU AI Act (2024/1689) Articles 10 & 12 | Training data governance and audit trail for High-Risk AI Systems using Snowflake as a data source |
| Basel Committee BCBS 239 | Risk data aggregation — accuracy and completeness of financial data stored in Snowflake |
| GDPR Article 5(2) | Accountability principle — demonstrable, auditable data governance |
For cryptographic legal indemnity (Ed25519 JWS audit seals, certified Sovereign Packs for DORA/EU AI Act), see the Metric Provenance Enterprise Platform.
- Python ≥ 3.9
odgs≥ 5.1.0 (core protocol — v6.0 compatible)snowflake-connector-python≥ 3.0.0- Snowflake account with
INFORMATION_SCHEMAaccess
- ODGS Protocol — The core enforcement engine
- ODGS FLINT Bridge — TNO FLINT legal ontology connector
- ODGS Collibra Bridge — Collibra integration
- ODGS Databricks Bridge — Unity Catalog integration
Apache 2.0 — Metric Provenance | The Hague, NL 🇳🇱