Snowflake

Snowflake provides cloud data storage and virtual warehouses for queries, with governed sharing of selected data objects.

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Published Updated

CategoryData Warehousing & Lakehouse
AccessSee vendor
PricingPaid
APIAvailable
Overview

What is Snowflake?

Snowflake uses virtual warehouses as compute resources for queries and data-loading operations. Teams can create separate warehouses for different workloads and manage when they run. Secure Data Sharing allows a provider account to expose selected database objects to another account as read-only data without copying the underlying data between accounts. These capabilities require role and cost governance.

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Sources checked 27 September 2026: virtual warehouses and Secure Data Sharing.

Why teams use it

Key capabilities

  • Virtual warehouses: compute clusters for queries and data changes.
  • Data objects: structured data available for analysis under roles.
  • Secure sharing: read-only access to selected objects for other Snowflake accounts.
Core areas

Define warehouse ownership, auto-suspend behavior, resource monitoring, retention, and role grants. For a shared dataset, review exactly which tables or views are exposed and how consumers may use them.

Positioning

Snowflake fits analytics teams that need SQL processing and controlled access to data across groups or organizations. Compute and storage are separate concerns, but query design, warehouse sizing, and access controls determine real cost and performance.

Why it matters

Snowflake's architecture gives teams distinct controls for compute workloads and shared data access. The warehouse guide and sharing guide were checked 27 September 2026. Adoption figures, blanket cost savings, and all-workloads claims were removed.

Deployment & technical details

Technical details

Access
See vendor
Source model
Other license
Founded
2012
Headquarters
Bozeman, Montana, USA
Pricing model
Paid
API
Available
Check with the publisher

Official resources

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What to verify for your environment

Start from the users, systems and operating responsibilities the tool needs to support.

  • Confirm current features, licensing and support terms with the publisher.
  • Validate deployment, data location, access control, backup and recovery requirements.
  • Test integrations, export paths and a representative operational workflow before committing.
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