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Snowflake for Analytics

Be AI-ready and activate whatever’s next with a leading analytics engine for diverse data types and architectures that delivers world class price and performance. 

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Overview

Why Snowflake for Analytics

Migrations

AI-Powered BI

Lakehouse Analytics

Applied Analytics

Interactive Analytics

Migrate effectively

Modernize your data ecosystem on our leading AI Data Cloud.

  • Modernize data on an easy, trusted, and connected platform. With automated cluster management, built-in governance and zero-ETL collaboration, you save time and money.

  • Migrate smarter with SnowConvert AI — cutting costs and lowering risk. Free for anyone, SnowConvert AI allows you to migrate at your own pace or with expert partner support, so you can migrate faster and with fewer errors.

  • Innovate for the future on a robust, flexible architecture. Unite data, AI and apps to get more business value from your data.

 Talk to your data

Unlock multimodal data with intuitive AI

  • Turn unstructured data into deeper business  intelligence. Users of all levels can query text, images and audio files with simple, AI-powered SQL. 

  • Bolster your organization with intelligent conversational insights. Make faster decisions with intuitive data exploration.
  • Power your largest BI workloads accurately and quickly. Snowflake ensures consistent results across all your favorite tools — AI apps, BI platforms and notebooks — while eliminating data extracts for truly interactive insights.
snowflake analytics - ai bi

Migrate effectively

Analyze at unprecedented speed

  • Achieve 2X faster query performance on Apache Iceberg tables by extending our leading analytics engine to open table formats.

  • Get advanced insights like forecasting, anomaly detection and sentiment analysis across all data sources.

  • Govern and discover data across your entire architecture with a connected catalog experience through Snowflake Horizon Catalog and Snowflake Open Catalog.
lakehouse analytics diagram

Unify data for analytics

Uncover powerful time and spatial analytics at scale

  • Gain richer insights with fewer data silos, access a robust ecosystem and benefit from centralized governance, security and compliance.

  • Apply pre-built models and LLM functions to structured and unstructured data (text, images, location, time series), and talk to your time and spacial data via conversational applications with Snowflake's fully managed Cortex AI

  • Build data products faster thanks to native data type support, simplified data management, AI integration and a scalable, performant multitenant architecture.

Snowflake Cortex diagram

Surface analytics in customer-facing applications

Build, distribute and commercialize scalable, data-intensive applications

  • Streamline your architecture to ship features — from embedded analytics to generative AI — faster.
  • Reduce operational burden with a fully managed service and achieve high performance.
  • Easily integrate data and apps in client environments across clouds and globally and commercialize your products directly on Snowflake to close deals faster and grow your business.
Screenshot of Snowflake Marketplace

Benefits

Faster Analytics and a More Intelligent Future

Easy

Use a fully managed, AI-ready platform, out-of-the-box

  • Spend your time and resources on launching data products faster instead of managing your data.
  • Explore data the way you want, with built-in visualizations, worksheets, notebooks and workspaces.
  • Access state-of-the-art LLMs, application development tools and secure data sharing for streamlined innovation. 
Platform diagram
SQL visual

Intelligent

Empower everyone in your organization with AI

  • SQL analysts can leverage Cortex AISQL for multimodal data analysis with simple syntax.
  • Business stakeholders can remove bottlenecks and talk to their data via LLM-powered conversational assistants.
  • Data scientists can build and execute ML models with Data Science Agent.  

Fast

Unlock a world-class, price performant engine, powered by AI optimizations

  • Experience 2.1x  faster performance for core analytics workloads with Standard Warehouse - Generation 2, Snowflake’s updated Standard Warehouse with upgraded hardware and additional performance enhancements.
  • Reduce compute costs automatically with on-going performance improvements. 
  • Avoid over-provisioning and only pay for what you use through transparent consumption-based pricing.

Technology

WHOOP Improves AI/ML Financial Forecasting While Enhancing Members’ Experiences

With Snowflake and Apache Iceberg, WHOOP teams have centralized access to data while reducing complexity, lowering costs and improving critical processes like feature development and financial forecasting.

Read the story

  • 3x Faster financial forecasting with new AI/ML model built using Snowpark
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Join the BI Analytics Bootcamp for data analysts.

A free course on the Data Cloud Academy designed to introduce you to the power of Snowflake and top business intelligence tools.

Get Started

Take the next stepwith Snowflake

Start your 30-day free Snowflake trial today

  • $400 in free usage to start
  • Immediate access to the AI Data Cloud
  • Enable your most critical data workloads

Snowflake for Analytics

Frequently Asked Questions

Your top questions about getting started with Snowflake for analytics, optimizing performance and utilizing AI to enhance your data analysis, answered here.

You have several options to getting started with analytics in Snowflake:

  1. Sign up for a free trial: Snowflake offers a 30-day free trial which includes free credits, allowing you to explore its features

  2. Explore quickstart guides: Snowflake provides hands-on tutorials that walk you through setting up your environment, loading data, performing various analytical tasks, from basic querying to more advanced analytics

  3. Join the community: Use Snowflake’s active community forums to learn best practices and get answers to your questions

Snowflake offers variety of AI capabilities to enhance your analytics:

  • Snowflake Cortex: Use this for tasks like text summarization, sentiment analysis, and enabling natural language queries on your data. You can also extract insights from documents using Document AI and use built-in ML functions for forecasting or anomaly detection

  • Snowpark ML: you can build, train, and deploy custom ML models using Python directly within Snowflake. This allows you to create predictive analytics (e.g., for churn prediction or demand forecasting) and integrate results seamlessly into your analytical workflows.

Yes, Snowflake handles different data types. It natively supports structured (including Apache Parquet), semi-structured data (like JSON, Avro, XML), and can store and integrate unstructured data for more comprehensive analytical insights.

Snowflake offers integrations with leading BI tools like Tableau, Power BI, Looker, Sigma, and many others. It provides dedicated connectors (ODBC, JDBC, native connectors) that enable these tools to directly query data in Snowflake, allowing users to build interactive dashboards and reports efficiently.

Snowflake provides a rich set of SQL functions and extensions tailored for analytics. This includes window functions, common table expressions, support for complex joins, and specific functions to handle semi-structured data, geospatial analysis, and time-series data, making it powerful for any kind of data analysis.

Snowflake’s pricing is consumption-based. To get a detailed breakdown of our pricing and see our consumption table, visit Snowflake Pricing, which has the most up-to-date and comprehensive information.

Where Data Does More

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