Snow park
Description
️ 🖼Tool name:
Snowpark
🔖 Tool categorization:
Snowflake Developer Framework for Data & AI
️ ✏What does it do?
Enables developers and scientists to use familiar programming languages such as Python, Java, and Scala to process data and build pipelines directly within the Snowflake platform without moving data.
Provides a DataFrame-style interface to manipulate data in a programmatic way similar to Pandas or Spark, with calculations performed within Snowflake.
Supports the creation of user-defined functions (UDFs), stored procedures, and ML applications within the platform, using Python libraries such as scikit-learn, XGBoost, and TensorFlow.
Governance, security, and role-based access control (RBAC) for software processes and applications.
⭐ What do you actually deliver based on user experience?
Reduces the time to build and run data pipelines and models, and increases team productivity by reducing the need to move data and use multiple tools.
Some users require technical expertise, and performance may require fine-tuning such as choosing the size of the virtual store or managing resources.
Integration with machine learning environments is most effective when using advanced components such as Feature Store or Container Services.
🤖 Does it include automation?
Yes ✅
Automate calculations and data transformation within Snowflake (push-down), minimizing the need for external architectures.
Support for deployable AI models, managing features and models within an integrated environment, automating the ML workflow from development to production.
💰 Pricing model:
🆓 F ree plan details:
A Free Trial is available to test some of the capabilities and capacity within the Snowflake environment.
There is no full free plan dedicated solely to Snowpark; use is often within a general Snowflake subscription.
💳 Details of paid plans:
Pricing is based on compute consumption (compute credits) and storage, and Snowpark is included in basic or advanced platform functionality depending on usage.
Example: "Snowpark-optimized" storage starts at ~6 credits/hour for Medium size, with a spike at heavier sizes.
Price varies depending on data size, number of users, cloud used (AWS/Azure/GCP), and geographic region. A customized quote is recommended.
🧭 How to access the tool:
Within the Snowflake (Cloud) environment via browser or development tools such as Jupyter Notebook or VS Code using the appropriate Snowpark libraries for each language.
Typically does not require the installation of a separate external architecture, as it runs within Snowflake's Compute Warehouses and is managed by the platform.
🔗 Experience Link:
Get started with Snowpark on Snowflake