snowflake for
Data Science & ML
Accelerate your ML workflows with fast data access and elastically scalable data processing for Python and SQL.
ACCELERATE YOUR
DATA SCIENCE WORKFLOW
One Place to Instantly Access All Relevant Data
- Reduce time looking for and requesting access to data, with a single point of access to a global network of trusted data.
- Bring nearly all types of data into your model without complex pipelines with native support for structured, semi-structured (JSON, Avro, ORC, Parquet, or XML), and unstructured data.
- Augment model performance with shared data sets from your business ecosystem and third-party data from Snowflake Marketplace.
Fast Processing Engine with Minimal Operational Complexity
- Transform data into ML-powered insights using your language of choice with Snowpark.
- Speed up Python-based workflows with pre-installed open source libraries and seamless dependency management via Anaconda integration.
- Scale processing to any amount of data or users with Snowflake’s elastic and performant multi-cluster compute architecture.
Single Platform to Unify Teams and Tools Around Data
- Connect your ML tool of choice to Snowflake data, with native connectors and robust integrations from a broad ecosystem of partner tools.
- Run scalable and secure ML inference with models running inside Snowflake as UDFs, or communicating with a secure model end-point with External Functions.
- Effortlessly make model results available in Snowflake for teams and applications to easily consume and act on ML-driven insights.
Hear from
Our Customers
Protecting our customer environments requires continuous innovation. Sophos has dozens of machine learning models built into our cybersecurity solutions and we roll out additional models all the time. Snowpark for Python enables us to dramatically streamline and scale development and operations of our machine learning models from initial pipeline to the model inference in production.
Konstantin Berlin
Sr. Director, AI, Sophos
Snowpark for Python helps Allegis get ML-powered solutions to market faster while streamlining our architecture. Using Stored Procedures and pre-installed packages, data scientists can run Python code closer to data to take advantage of Snowflake’s elastic performance engine.
Joe Nolte
AI and MDM Domain Architect, Allegis
With the Snowflake Data Cloud, we've removed data science bottlenecks so every analytics team across Pacific Life can maximize its potential.
Kurpal Sandhu
Director of Data and Visualization, Pacific Life
With Snowflake, we are much faster in developing and recalibrating models and algorithms, and we are able to leverage all of our data with state-of-the-art ML/AI tools to address business challenges and realize new opportunities.”
Volodymyr Sorokoumov
Senior Data Manager for Big Data and Advanced Analytics, Uniper
Extensive Partner Ecosystem
Choose from an extensive ecosystem of data science and machine learning partners.
WHY SNOWFLAKE
FOR Data Science
Financial Forecasting
Use Snowflake’s Data Cloud to power your financial forecasts.
Account Propensity Scoring
Deliver high-performance account propensity models using enriched data.
ML-Driven Product Strategy
Accelerate product innovation and translate data into revenue growth.
Get Started
Building with Snowflake
Find the resources you need to build apps, data pipelines, and ML workflows at the Snowflake Developer Center.
WAYS TO
get started
Start Your 30-Day
Free Trial
Try Snowflake free for 30 days and experience the Data Cloud that helps eliminate the complexity, cost, and constraints inherent with other solutions. Available on all three major clouds, Snowflake supports a wide range of workloads, such as data warehousing, data lakes, and data science.
EXPLORE OTHER
WORKLOADS
Eliminate data silos and instantly and securely share governed data across your organization, and beyond.