Description
️ Tool Name: 🖼
Snowpark
Categories: 🔖
Data and Analytics, Data Preparation and Cleaning, Programming and Development, Prediction and Applied Machine Learning, Integrations and APIs, Data Management, Automation and Smart Agents.
️ What does this tool offer? ✏
Snowpark is a collection of libraries and code execution environments within Snowflake, enabling the execution of non-SQL code such as Python, Java, and Scala, as well as working with Apache Spark™, using Snowflake’s distributed engine. This allows developers to use the programming language of their choice with data stored within Snowflake without having to move it. Snowpark provides a unified, scalable environment for data processing with built-in governance and security. It supports Snowpark DataFrames for DataFrame-based programming,Python,and pandas on Snowflake, which provides the familiar pandas API for data transformation and analysis, as well as integration with the PyData ecosystem;user-defined functions and stored procedures for writing and executing custom code; andcustom procedural code. It also provides Snowpark Connect for Apache Spark to run Apache Spark DataFrames, SQL, and UDFs for data processing, with the ability to set up a Spark client, as well as Snowpark for Data Engineering to use Python to transform raw data into structured and prepared formats within data pipelines. Snowpark enables the creation of scalable data pipelines by transforming data from a data lake, data warehouse, or Iceberg tables within Snowflake. It also offers Snowpark Migration Accelerator,a free application for migrating existing code to the Snowpark framework, available as both a GUI and a CLI. Snowflake provides a hands-on lab for building data engineering pipelines using Snowpark in Snowflake Notebooks, Snowpark Connect for Apache Sparkcontent ,an e-book titled *Building Applications with Snowpark for Dummies*, and Quickstart guides for building your first Python pipelines, exploring more advanced Python pipelines, and deploying EDA to production using pandas. Snowflake reports that more than 50% of its customers use Snowpark on a weekly basis as of April 2024, and notes that customers have achieved, on average, 4.6x faster performance and 35% cost savings when using Snowpark compared to managed Spark services, based on customer production use cases and proof-of-concept exercises that compared speed and cost from November 2022 to May 2025. Snowflake clarifies that these results are based on real customer data and not synthetic datasets used in benchmark tests.
What does it actually offer based on user experience? ⭐
Snowflake showcases testimonials and experiences from its customers. The Data Science Lead at EDF explained that performing data science tasks, such as feature engineering, directly where the data resides has led to greater efficiency. A Principal Data Engineer at Homegenius noted that the transition to Snowpark for performance reasons was easy and that converting PySpark code to Snowpark was as simple as changing an `import` statement. A Lead Data Scientist at Bridg explained that Snowflake and Snowpark helped them develop and automate proprietary machine learning models at a faster pace, while the Architecture and Data Engineering Lead at Sanofi noted that using Snowpark as a computing layer for Python code within the Snowflake data platform enabled them to eliminate the need to transfer data while giving administrators comprehensive control over data and libraries. Companies and customers featured by Snowflake in Snowpark stories and case studies include Baptist Health, Corewell Health, Anvilogic, Curative, Monte Carlo, Allegis Group, NerdWallet, Elevance Health, IQVIA, Northern Trust, EDF, CareJourney, Merkle, Jefferies, Power, Samsung Ads, SailPoint, Sanofi, Cortex, PowerSchool, Vanderbilt University, OneWeb, Sophos, Homegenius, Endeavor, Spring Oaks Capital, Bond, OpenStore, Paytronix, Valo, Hyperfinity, Bridg, Ice Data Services, Innovid, and Maxa AI. Snowflake also presents results indicating 4.6x faster average performance and 35% cost savings compared to managed Spark services, clarifying that the results summarize actual customer performance using real data during the specified period and are not the results of benchmark tests on synthetic data.
Does it include automation? 🤖
Yes. Snowpark provides capabilities for automating data pipelines and programmatic tasks, including user-defined functions and stored procedures, as well asSnowpark for Data Engineering for building data pipelines using Python, in addition to the ability to use the Snowpark Migration Accelerator CLI to automate code conversion processes. Snowpark can also be used to develop and automate machine learning models and data processing pipelines within Snowflake. The Snowflake platform also supports Tasks for scheduling the execution of SQL statements, which are available in all major versions of Snowflake.
Pricing Model: 💰
Snowpark is based on Snowflake’s consumption-based pricingmodel and is not offered as a separate product distinct from the Snowflake platform; Snowpark is included as a core feature in the various Snowflake editions. Usage is primarily billed in Snowflake Credits, which are the unit of measurement for computing resource consumption, while storage and data transfer costs are billed separately. The cost of Snowflake Credits varies depending on the cloud provider, region, Snowflake edition, and purchase type ( On-Demand or Capacity). Snowflake specifies that the minimum billing increment for compute resources is 60 seconds, and AWS, Azure, or GCP can be used as cloud providers.
🆓 Free Plan Details:
| Item | Details |
|---|---|
| Free Trial | Snowflake Free Trial |
| Duration | 30 days or until the free credit is fully used up, whichever comes first |
| Price | $0 within the free credit limit |
| Access | The trial includes Snowflake features, including Snowpark |
| How to Sign Up | Create a trial account using a valid email address |
| Payment Card | No payment information is required when creating a demo account |
| Notes | You can cancel the trial or convert the account to a paid account during the trial period |
Snowflake’s documentation confirms that the trial account lasts for 30 days from the date of registration or until the free credit is used up, whichever comes first. The documentation also indicates that Snowpark is available within Snowflake’s major releases.
Paid Plan Details: 💳
| Plan | Listed Price | Details |
|---|---|---|
| Standard | $2.00 per Credit | AWS, US East (Northern Virginia). Includes core platform features, fully managed Elastic Compute, automatic data encryption, Snowpark, data sharing, and optimized storage with compression and Time Travel. |
| Enterprise | $3.00 per Credit | AWS, US East (Northern Virginia). Includes Standard features, plus Multi-cluster Compute, granular governance and privacy controls, and extended Time Travel windows. |
| Business Critical | $4.00 per Credit | AWS, US East (Northern Virginia). Includes Enterprise features, plus Tri-Secret Secure, Private Connectivity, and Failover and Failback for backup and disaster recovery. |
| Virtual Private Snowflake (VPS) | $6.00 per Credit | AWS, US East (Northern Virginia), according to the current pricing table; provides Business Critical features within a separate and fully isolated Snowflake environment, and requires contact with sales. |
The prices above are the current On-Demand prices on AWS, US East (Northern Virginia) region, according to the official Snowflake pricing table. Credit prices vary by cloud provider, region, and edition.
Snowflake also offers a Pre-paid Capacityoption, where you can purchase a certain amount of usage in advance, while On-Demand allows you to pay as you go and be billed monthly. Optimized Storage is calculated based on the average amount of storage used per month after compression; the price for On-Demand Storage on AWS in the US East (Northern Virginia) region is approximately $23.00 per TB per month, according to the pricing information provided. Snowflake notes that storage pricing varies by cloud provider and region, and that the Consumption Table is the most accurate reference for current prices.
How to access the tool: 🧭
| Method | Details |
|---|---|
| Free Trial | Sign up for a 30-day Snowflake Free Trial or until your free credit is used up |
| Snowflake | Access Snowpark through your Snowflake account |
| Cloud Provider | Choose AWS, Azure, or GCP |
| On-Demand | Pay-as-you-go with monthly billing |
| Pre-paid Capacity | Purchase pre-paid capacity under a Snowflake agreement |
| Snowpark Migration Accelerator | Download the free code converter to migrate your existing code to Snowpark |
| Snowflake Notebooks | Build Data Engineering Pipelines Using Snowpark |
| Quickstarts | Get started with Python Pipelines, pandas, and EDA |
| Pricing Calculator | Use the Snowflake calculator to estimate computing and storage costs by cloud provider, region, and version |
| Snowflake Consumption Table | View detailed pricing by region, cloud provider, and version |
Snowflake supports a wide range of regions on AWS, Azure, and GCP, and the official pricing calculator shows that costs are affected by the cloud provider, region, Snowflake version, and account type—whether On-Demand or Capacity. The calculator also displays the types of data warehouses and their sizes, ranging from XS to 6XL, and allows you to estimate the number of operating hours and storage required.