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Migrating from SQL Server to Snowflake: Handling Collation and Constraints

2 min readDec 22, 2025

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As organizations modernize their data platforms, migrating from on-premise SQL Server to Snowflake is a common step toward scalability and cloud-native analytics. While the process seems straightforward, two critical aspects often create challenges: collation and constraints. Ignoring these can lead to data integrity issues, inconsistent query results, and costly rework.

Looking at key conversion considerations here https://medium.com/@snowflakewiki/sql-server-to-snowflake-a-practical-migration-blueprint-4255fc9350ae, we’ll focus on top two factors that can significantly impact migrations — collation and constraints and explore how to handle them effectively.

Why Collation Matters in Migration

SQL Server typically uses Case-Insensitive (CI) collation by default, whereas Snowflake defaults to Case-Sensitive (CS). This difference impacts:

  • Joins and Filters: Queries relying on case-insensitive matching may fail or return inconsistent results.
  • Search Behavior: User experience changes when case sensitivity is introduced unexpectedly.
  • ETL Logic: Legacy scripts may break if not adapted.

Recommended Collation Strategies

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Collation Strategy Options

Constraints: The Silent Risk

Snowflake supports PRIMARY KEY, FOREIGN KEY, and UNIQUE constraints — but only as metadata. They are not enforced. This creates risks like:

  • Duplicate Records
  • Orphaned Rows
  • Referential Integrity Gaps

Constraint Enforcement Strategies

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Constraint Strategy Options

Best Practices for a Smooth Migration

  • Adopt Collation Governance: Use metadata-driven tracking for exceptions.
  • Automate Constraint Checks: Integrate with CI/CD pipelines for consistency.
  • Validate Early and Often: Build a “Golden Validation Pack” for parity and drift detection.
  • Monitor Continuously: Implement unified monitoring across ETL and Snowflake.

Key Takeaways

  • Collation and constraints are not just technical details — they impact data integrity and user experience.
  • A hybrid approach for both ensures compatibility, performance, and governance.
  • Plan these strategies upfront to avoid costly rework and ensure a successful migration.

References:

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https://docs.snowflake.com/en/sql-reference/collation

https://docs.snowflake.com/en/sql-reference/constraints

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Snowflake Basics | Features | New releases | Tricks & Tips | SnowPro Certifications | Solutions | Knowledge Sharing | ~~~ By satitiru (Snowflake DataSuperHero)