Snowflake’s core platform unifies all data types, workloads, and users on a single, cloud-native architecture.
Unified storage for structured, semi-structured, and unstructured data
Decoupled compute and storage (multi-cluster shared data architecture)
Near-zero maintenance with automatic scaling, tuning, and updates
Native support for all major clouds across AWS, Azure, and GCP
Secure data sharing using zero-copy architecture
Built-in governance and access control (RBAC, masking, lineage, etc.)
Cross-cloud and cross-region replication for high availability
Designed for analysts and business teams to explore, visualize, and report on large volumes of structured and semi-structured data.
SQL-based querying at scale
Materialized views and search optimization services
Native integration with BI tools like Tableau, Power BI, and Looker
Snowflake Worksheets for exploratory analysis and visualization
Native support for semi-structured formats like JSON, Avro and Parquet
Access to public datasets and models through Snowflake Marketplace
Snowflake unifies machine learning and generative AI in a single governed platform, so teams can build, deploy, and scale AI-powered applications without moving sensitive data outside the cloud.
Snowflake ML for full ML workflows with ML Jobs to orchestrate pipelines and a built-in Model Registry for versioning and governance
Snowpark ML APIs with GPU acceleration to train and serve models using familiar Python frameworks
Cortex AI for serverless access to leading LLMs (Claude, Mistral, Llama) and multimodal AISQL for analysing text, images, audio – including document table extraction
Cortex Analyst for converting natural language into accurate SQL queries, enabling business-friendly data exploration
Cortex Search for semantic and keyword-based search across structured data and documents
Cortex Agents for data task automation, metadata generation and enrichment, and workflow orchestration
Native vector data types and similarity search enabling AI-driven personalization, recommendation, and retrieval-augmented generation (RAG)
Snowflake offers developers and engineers powerful tools to build, automate, and manage data pipelines with minimal complexity.
Snowpark for writing pipelines in Python, Java, or Scala inside Snowflake
Streams and tasks for change data capture (CDC) and orchestration, and embedding ML Job lifecycles within workflows
External functions and UDFs for custom transformations and logic
Snowpipe for continuous data ingestion with minimal setup
Snowpark Container Services (SPCS) for running containerized workloads
Snowflake Openflow (Apache NiFi-based) for no-code/low-code ETL and data integration
Support for Apache Iceberg and data lakehouse architectures for hybrid data strategies
Directed joins for improved query planning and performance optimization in complex transformations
Snowflake enables you to develop and deploy fully integrated data and AI apps without ever moving data out of its platform.
Snowflake Native Apps for building and deploying apps directly in Snowflake
Snowpark Container Services to support batch job execution and CORS for web-facing apps
Snowflake Marketplace to publish, share, and monetize apps, datasets, and models
Secure Data Clean Rooms for multi-party collaboration on sensitive data
Zero-copy data sharing with granular permission controls
Embedded analytics and APIs for integrating insights into applications
Built-in tools for commercializing apps and data products
Integration with Microsoft 365 Copilot and Teams for productivity workflows
Snowflake is built with enterprise-grade security, transparency and compliance at its core, offering end-to-end visibility and policy enforcement, enhancing data protection, auditability, and discoverability for every user and workload.
Snowflake Horizon for centralized governance, data discovery, and policy enforcement
Role-based access control, column masking, and row-level security for fine-grained access management
Full observability with data lineage (including stored procedures), audit logging, and query history
Immutable WORM (Write Once, Read Many) snapshots for backup, retention, and regulatory compliance
Automated metadata generation with Cortex-powered SQL for faster data discovery and cataloging
Behavior change bundles to assess the impact of schema or policy changes before deployment
Comprehensive compliance & security — GDPR, HIPAA, SOC 2, FedRAMP
End-to-end encryption and seamless SSO/IdP integration (Okta, Azure AD, etc.)
