Skip to content
AI.info

tools

Snowflake Data Cloud

Snowflake Data Cloud is a managed platform for storing, analyzing, sharing, and applying AI to enterprise data.

Snowflake Data Cloud

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

      Pricing

      Official website