By Rajiv Gupta
Introduction
In today’s data-driven world, keeping track of historical changes and maintaining versioned records isn’t optional—it’s essential. Whether for compliance, auditing, or deep analytical insights, organizations must capture and preserve their data states accurately.Snowflake has introduced a game-changing feature—Snapshots. With this, enterprises can create point-in-time versions of data seamlessly, without the heavy lifting of custom frameworks. This capability, available across all Snowflake editions, promises to reshape how businesses preserve and analyze historical data.
Before Snapshots: How Was It Done?
Until now, most organizations relied on custom frameworks—scheduled clones of Snowflake objects—to replicate point-in-time copies. These worked reliably in production environments, but demanded ongoing effort to manage.
What Exactly Are Snowflake Snapshots?
Snapshots are immutable, point-in-time data copies designed for consistency and reliability. They act like zero-copy backups—much like clones—but with one crucial advantage: they don’t duplicate data, which means instant availability with no extra storage cost.
Key Features
- Point-in-Time Capture → Perfect for audits and investigations.
- Immutable Storage → Snapshots can’t be altered, preventing accidental changes.
- Efficient Querying → Supports historical time-travel analysis.
- Full Integration → Works seamlessly across Snowflake’s services and governance models.
Where Do Snapshots Shine in Real Life?
Organizations can unlock huge value through practical applications:
- Regulatory Compliance → Keep long-term, auditable data states.
- Data Recovery & Rollback → Undo mistakes and restore previous states quickly.
- Trend Analysis → Compare historical data to detect patterns and anomalies.
- Machine Learning → Train models on consistent, frozen datasets.
Core Concepts Behind Snapshots
To fully leverage Snapshots, it’s important to understand the key building blocks:
- Snapshot → An immutable backup of a Snowflake object.
- Snapshot Set → A group of snapshots tied to an object, managed manually or via policy.
- Snapshot Policy → Defines schedule, retention, and expiration rules.
- Retention Lock → Ensures snapshots can’t be deleted prematurely—ideal for regulatory compliance (available only in Business Critical Edition or higher).
What’s Included (✅) and What’s Not (❌)?
Snowflake Snapshots cover a wide range of objects but exclude some transient and external ones.
✅ Included:
Databases, schemas, permanent & transient tables, views (standard, secure, materialized), sequences, file formats, pipes, stored procedures, UDFs, policies (masking, row access, privacy, etc.), tags, alerts, network rules, Python UDFs/UDTFs.
❌ Not Included:
Temporary tables, dynamic/event/external tables, hybrid/Apache Iceberg™ tables, external & temporary stages, and tasks.
Understanding Costs
Snapshots involve three key services:
- Snapshot Compute → Snowflake-managed (free during preview).
- Restore Compute → Customer-managed warehouses used to recover data.
- Snapshot Storage → Snowflake-managed storage billed based on retained bytes.
Use the TABLE_STORAGE_METRICS view (RETAINED_FOR_CLONE_BYTES column) to monitor snapshot storage costs.
Sample Code in Action
Here’s a simplified example of how to create, manage, and restore snapshots:
Key Restrictions to Note
- Immutable Policies → Once set, schedules and expirations can’t be altered.
- Policy Permanence → A snapshot policy tied to a set cannot be removed.
- Expiration Limits → Currently capped at 90 days during preview (this will be lifted later).
Wrapping Up
Snowflake Snapshots bring power, precision, and simplicity to data versioning. With them, organizations can:
✔️ Preserve historical states
✔️ Perform deep compliance checks
✔️ Restore data instantly
✔️ Build reliable AI/ML pipelines
As businesses increasingly depend on trustworthy, time-aware datasets, Snapshots will become an essential tool for governance, analytics, and resilience.
If this post helped you, drop a clap, ask your questions in the comments, and stay tuned for more deep dives into Snowflake.
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About kipi.ai
Kipi.ai, a WNS Company, is a global leader in data modernization and democratization focused on the Snowflake platform. Headquartered in Houston, Texas, Kipi.ai enables enterprises to unlock the full value of their data through strategy, implementation and managed services across data engineering, AI-powered analytics and data science.
As a Snowflake Elite Partner, Kipi.ai has one of the world’s largest pools of Snowflake-certified talent—over 600 SnowPro certifications—and a portfolio of 250+ proprietary accelerators, applications and AI-driven solutions. These tools enable secure, scalable and actionable data insights across every level of the enterprise. Serving clients across banking and financial services, insurance, healthcare and life sciences, manufacturing, retail and CPG, and hi-tech and professional services, Kipi.ai combines deep domain excellence with AI innovation and human ingenuity to co-create smarter businesses. As a part of WNS, Kipi.ai brings global scale and execution strength to accelerate Snowflake-powered transformation world-wide.
For more information, visit www.kipi.ai.
