dagster-snowflake
Package for Snowflake Dagster framework components.
Decision gist · record as of 2026-08-14
Yes, if you are already using Dagster for data orchestration and need to integrate Snowflake workloads. The package is actively maintained, has no known vulnerabilities, and low install friction. Install only if Dagster is already your orchestration framework; it is not a standalone Snowflake client.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later (supports up to 3.14).
- Snowflake account credentials and network access to Snowflake must be configured separately.
- Low friction install with a wheel distribution.
License · maintenance · safety
Apache-2.0 (permissive) — Apache 2.0 permissive license allows use in commercial and open-source projects without significant restrictions, though you must include a copy of the license and note any modifications.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 15,996 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 613,522 downloads/mo, #5,752 on PyPI
Alternatives
Verify before relying
pip install dagster-snowflake
import dagster as dg
from dagster_snowflake import SnowflakeResource
@dg.asset
def my_snowflake_asset(snowflake: SnowflakeResource):
with snowflake.get_connection() as conn:
conn.execute("SELECT * FROM my_table")- Specific Snowflake resource configuration options and authentication methods supported by this integration version
- Whether this package provides asset materialization templates or requires manual SQL definition
- Performance characteristics and connection pooling behavior with large-scale Snowflake workloads
What it is and what it does
dagster-snowflake is a Dagster integration library that bridges Snowflake data warehouse with Dagster's asset-oriented orchestration model. It provides resource abstractions and connectors that let you declare Snowflake tables and queries as Dagster assets, then orchestrate their creation, updates, and dependencies alongside other data assets in a unified pipeline.
The package sits on top of Dagster (a cloud-native data pipeline orchestrator) and Snowflake's Python connector libraries. It's designed for teams building data platforms where Snowflake is the central warehouse—you define your data transformations as Python functions decorated with Dagster's asset syntax, and the integration handles the Snowflake connection and execution details. This lets you manage lineage, testing, scheduling, and observability for Snowflake workloads within Dagster's web UI and CLI.
Use it for
- Build Snowflake-backed data pipelines with Dagster's declarative asset model, managing dependencies and scheduling from a single control plane
- Integrate Snowflake queries and transformations into multi-tool data workflows that also include Python, dbt, or other data tools
- Test Snowflake data assets locally during development before deploying to production orchestration
- Monitor Snowflake asset lineage and data quality issues through Dagster's observability and cataloging features
- Automate Snowflake table refreshes and transformations on a schedule or event-driven basis via Dagster's job definitions
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using Dagster for data orchestration and need to integrate Snowflake workloads.
The package is actively maintained, has no known vulnerabilities, and low install friction. Install only if Dagster is already your orchestration framework; it is not a standalone Snowflake client.
Install
dagster-snowflake on PyPI
Before you install
Low friction install with a wheel distribution. Actively maintained with a recent release and strong upstream project health (15996 GitHub stars, active repository). Requires Dagster and Snowflake connector libraries as runtime dependencies.
Requires Python 3.10 or later (supports up to 3.14). Snowflake account credentials and network access to Snowflake must be configured separately.
License in practice
Apache 2.0 permissive license allows use in commercial and open-source projects without significant restrictions, though you must include a copy of the license and note any modifications.
Quickstart
pip install dagster-snowflake
import dagster as dg
from dagster_snowflake import SnowflakeResource
@dg.asset
def my_snowflake_asset(snowflake: SnowflakeResource):
with snowflake.get_connection() as conn:
conn.execute("SELECT * FROM my_table")Verify before relying
- Specific Snowflake resource configuration options and authentication methods supported by this integration version
- Whether this package provides asset materialization templates or requires manual SQL definition
- Performance characteristics and connection pooling behavior with large-scale Snowflake workloads
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <3.15,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesdagsterpyopensslsnowflake-connector-pythonsnowflake-coresnowflake-snowpark-python |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 613,522 / month, #5,752 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: dagster_snowflake-0.29.18-py3-none-any.whl
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See also dagster-snowflake-pandas · dagster-docker · dagster · dagster-aws · dagster-dg-core · dagster-rest-resources · dagster-pyspark · dagster-databricks · streamsets · dagster-spark