tools
Snowflake Data Cloud
Snowflake Data Cloud is a managed platform for storing, analyzing, sharing, and applying AI to enterprise data.
Snowflake provides managed storage, elastic compute, data engineering, analytics, machine learning, AI services, data sharing, and application development across cloud providers and regions. Organizations use it to bring structured, semi-structured, and unstructured data together.
Teams can use Snowflake Marketplace, Native Apps, Snowpark, Cortex AI, governance controls, and cross-cloud collaboration. Pricing is consumption-based, with storage and compute billed according to usage; the requested Data Cloud product URL currently returns 404.
Features
- Store structured, semi-structured, and unstructured data
- Scale elastic, multi-cluster compute for concurrent workloads
- Build data pipelines with SQL, Python, and Snowpark
- Run analytics, business intelligence, and machine learning workflows
- Use Cortex AI for generative AI and enterprise data applications
- Share data and applications through Snowflake Marketplace
- Apply role-based access control, masking, tagging, and lineage
- Deploy Snowflake Native Apps within customer accounts
Use cases
- Consolidate data from cloud storage and on-premises systems
- Run business intelligence and advanced analytics workloads
- Build and deploy machine learning models near enterprise data
- Create retrieval, document analysis, and conversational AI applications
- Share live data and applications with partners
- Develop data-intensive applications without managing infrastructure
Pros
Cons
Latest updates
- HTML reports (Preview)
HTML reports
- Backups for Snowflake Storage for Apache Iceberg™ tables (General availability)
Backups for Snowflake Storage for Apache Iceberg™ tables
- Background runs and additional supplementary tools for agents in the Snowflake-managed MCP server
- AIM-Virtualization 3.180 (3.180)
- CoCo Desktop v1.24.0 (v1.24.0)
Capabilities
- Ask in plain language — “Empower every user to answer complex questions in natural language with their own personalized enterprise intelligence agent.” source
- Python and notebooks — “With Snowpark, data engineers and data scientists can use their preferred languages (Python, Java, Scala) to process data directly inside Snowflake.” source
- Builds models — “Securely create and deploy LLMs and ML models customized with your data.” source
Get it
Security
- SOC 2 Type II — “2025 Snowflake SOC 2 Type II Report” source
- SOC 2 — “2025 Snowflake SOC 2 Type II Report” source
- ISO 27001 — “Snowflake - ISO 27001; 27017; 27018_2026” source
- ISO 42001 — “Snowflake Achieves Prestigious ISO/IEC/IEC 42001 Certification, Demonstrating Commitment to Responsible AI Practices” source
- HIPAA — “HITRUST / HIPAA” source
Pricing
- Starting price
- $23/mo
- Prices checked
- 2026-11-06
Standard
- $2.00 / per credit ($USD)
- AI agents: CoWork and CoCo
- AI search and document analysis
- Elastic, encrypted compute
- Live data sharing, no copies
Enterprise
- $3.00 / per credit ($USD)
- All Standard Edition features
- Data access rules AI agents follow
- Automatic sensitive data detection
- Synthetic data for testing
- Extra compute for busy periods
- 90-day data recovery
Business Critical
- $4.00 / per credit ($USD)
- All Enterprise Edition features
- AI and ML disaster recovery
- Private network connections
- Customer-managed encryption keys
- HIPAA, PCI DSS and FedRAMP support
- Failover across regions and clouds
Virtual Private Snowflake
Price on request
- Includes all Business Critical Edition features
- Completely separate Snowflake environment, isolated from all other Snowflake accounts
On-Demand Storage
- $23.00 per TB / per month ($USD)
- Pay for usage month-to-month