Product Category
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.
uses cases
Migrations
AI-Powered BI
Lakehouse Analytics
Applied Analytics
Interactive Analytics
Migrate effectively
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.
Talk to your data
Turn unstructured data into deeper business intelligence. Users of all levels can query text, images and audio files with simple, AI-powered SQL.
CONNECT TO OPEN DATA
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.
Translate data into business outcomes
Tackle complex challenges with ease using native geospatial and time series analysis to more accurately forecast and predict trends.
Get results faster with sophisticated query optimizations that lower the cost of running massive, advanced queries.
Build applications faster and deliver long-term performance and reliability with cleaner code.
Gain sub-second analytics at scale
Simplify your entire data strategy by consolidating transactional, analytical and serving workloads onto a single platform.
Optimized for serving workloads, interactive analytics deliver low-latency insights to every end user without contention.
Power agent-driven workflows, which require significantly higher concurrency, with consistent sub-second performance that accelerates time to market.
Benefits
Easy
Intelligent
Fast
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.
Resources
Data Architect
Data Analyst
Application Builder
Get Started
Snowflake for Analytics
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:
Sign up for a free trial: Snowflake offers a 30-day free trial which includes free credits, allowing you to explore its features
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
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.
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¶Snowflake performance improvements based on core analytics workloads on 2XL warehouse measured as of May 3, 2024 using Standard Warehouse and May 2, 2025 using Gen2.
