Real-Time Data Analytics Platform
Enable continuous ingestion, processing, and real-time analytics on diverse data types.
Cloud Data Platform for Data Warehousing, Data Lake, and Data Sharing
By Snowflake Inc.
Snowflake is a cloud-based data platform providing data warehousing, data lake, data sharing, and data application capabilities with scalability, concurrency, and performance.
Snowflake offers a fully managed, highly scalable cloud data platform enabling organizations to unify data warehousing, data engineering, data lakes, and data sharing in a single platform. It supports diverse workloads and provides instant elasticity with separate compute and storage services, allowing users to perform large-scale analytics efficiently while ensuring secure and governed data access.
Bozeman, United States — Est. 2012
Interactive analysis dashboard - explore detailed performance insights for key business scenarios
Enable continuous ingestion, processing, and real-time analytics on diverse data types.
Share governed, live data securely between internal teams and external partners.
Deploy and manage analytics workloads across AWS, Azure, and Google Cloud with consistent performance.
Combine data lake storage and warehouse capabilities to run analytics on all enterprise data.
Optimize resource use and spending with auto-scaling, usage tracking, and credit management.
Explore the core capabilities that make Snowflake stand out.
Compute resources and data storage are independent, enabling on-demand scaling without disruption.
Automatically scale compute clusters up and down according to workload demands for cost and performance optimization.
Multiple compute clusters can simultaneously access the same data without contention or duplication.
Native handling of structured data like tables and semi-structured data formats including JSON, Avro, Parquet, and XML.
Access historical data versions and recover deleted or modified data easily.
Share live, governed data securely in real-time with other Snowflake accounts without data copying.
Built-in security features including encryption, role-based access, auditing, and compliance certifications.
Full ANSI SQL support for querying data, including advanced analytics functions.
Create instant, zero-copy clones of databases or tables for testing and development.
Access and monetize third-party data sets directly within Snowflake’s ecosystem.
Automated backups and fail-safe features ensure data durability and availability.
Supports bulk loading, continuous ingestion, and integration with popular ETL/ELT tools.
Deployable on AWS, Azure, and Google Cloud for global availability and cloud flexibility.
Built-in change data capture and task scheduling enable real-time data pipeline automation.
Supports tagging data objects and managing metadata to enhance data governance.
Automate performance optimization with stored, refreshed query results.
Use virtual warehouses for independent compute resources per workload.
Snowflake automatically optimizes query plans to enhance performance without user intervention.
Enhance account security with multi-factor authentication support.
Monitor and control resource consumption to manage costs effectively.
Supports bulk data import/export and connectivity with various BI, ETL, and programming tools.
Not just "integrates with" – here's the specific value each integration delivers:
Delivers: Visualization and business analytics tool integrated with Snowflake for live and fast analytics.
Delivers: Microsoft Power BI integration providing reporting and analytics on Snowflake data.
Delivers: Stream data efficiently into Snowflake with Kafka integration for real-time analytics.
Delivers: Automated data connector service for extracting and loading data to Snowflake.
Delivers: Cloud-native data integration platform that orchestrates data loads into Snowflake.
Delivers: CRM platform integration for analyzing customer data in Snowflake.
Latest insights, guides, and templates to accelerate your decisions.
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Watch Snowflake in action.
Introduction to Snowflake
Snowflake Architecture Explained
Common questions about Snowflake:
Snowflake is used for cloud data warehousing, data lake management, data sharing, and running large-scale analytics on structured and semi-structured data.
Yes, Snowflake supports automatic scaling of compute resources independently of storage, enabling seamless handling of varying workloads.
Snowflake natively supports querying semi-structured data types like JSON, Avro, Parquet, and XML within the same platform as structured data.
Yes, Snowflake is available on AWS, Azure, and Google Cloud, allowing deployment flexibility and multi-cloud architectures.
Snowflake provides encryption at rest and in transit, role-based access control, data masking, and auditing to secure data and meet compliance standards.
Snowflake offers secure data sharing that allows live, governed access to data without copying or moving data outside the platform.
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