Actual SQL2Snow output from a synthetic SQL Server environment.

Migration Complexity · Estimated Effort · Complexity Drivers · Recommendations

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SQL2Snow Migration Assessment Report

Synthetic SQL Server test database · Generated by SQL2Snow Community Edition

Migration Complexity Score
High Complexity
Why this score?
MERGE statements and dynamic SQL add technical complexity.
Row-by-row cursor logic must be replaced with set-based SQL.
Cross-database references increase integration complexity.
View all drivers →
Estimated Effort
220 Days
Estimated effort for initial migration wave
142 – 298 Days
Estimated Range (Low – High)
Effort at a glance
Schema Migration
2 Days
Views
11 Days
SPs and UDFs
159 Days
DB-Level Overheads
2 Days
Testing & Validation
43 Days
Infrastructure & Setup
4 Days
View effort breakdown →

This database has 74 scored objects with overall high complexity. Migration complexity score is 77/100, indicating significant migration effort.

Complexity Breakdown
LOW
Straightforward migration
26 objects
35.1%
MEDIUM
Some planning and effort required
11 objects
14.9%
HIGH
Significant technical challenges
37 objects
50.0%
Complexity Drivers
Count by Impact
56 High Impact MERGE Statement Semantics, Cursor-Based Processing, Cross-Database Dependencies
149 Medium Impact Temporary Table Usage, Custom Error Raising (RAISERROR/THROW), SQL Server Error Handling (TRY/CATCH), XML Processing Logic, Encrypted module, Encrypted Objects
View top complexity drivers →
Effort Breakdown Details
Directional estimate for initial enterprise migration wave
Workstream Min Max
Schema Migration23
Views715
SPs and UDFs102215
DB-Level Overheads12
Testing & Validation2858
Infrastructure & Setup35
Total Estimated Effort 142 298

Estimates assume high migration effort. 1 engineer-day = 8 hours. Testing overhead is 25% of object conversion effort.

Object Inventory
Summary of scanned database objects
32Tables
17Views
41Stored
Procs
16UDFs
7Triggers
41Indexes
83Constraints
8User
Defined Types
Total Objects Scanned: 106
Top Complexity Drivers
Key factors contributing to migration complexity
Complexity driver Impact Found in
MERGE Statement High 14 procedures
Cursor Usage High 20 procedures
Cross-Database Reference High 13 procedures and 6 views and 3 functions
Temp Table Usage Medium 23 procedures
RAISERROR/THROW Medium 38 procedures
TRY...CATCH Block Medium 38 procedures
XML Processing Medium 28 procedures and 11 views and 1 function
Encrypted module Medium 2 procedures and 2 views and 1 function
Recommendations
Representative actions generated from the assessment findings
High
Validate Each MERGE Statement Against Snowflake Semantics
Review all 14 MERGE statement(s) individually. Pay particular attention to NOT MATCHED BY SOURCE clauses, multi-row targets, and WHEN conditions. Run a proof-of-concept conversion on the most complex MERGE before committing to the full migration approach.
High
Resolve Cross-Database Dependencies in a Pre-Migration Sprint
Identify all 22 object(s) referencing other databases and map each dependency to its target Snowflake account or schema. Design a data-sharing or ingestion strategy for each dependency before the main migration wave begins. Unresolved cross-database references are the most common cause of migration delays.
Medium
Replace Temporary Tables with Snowflake-Native Constructs
23 object(s) use temporary tables. Evaluate each usage and replace with a CTE where possible; use transient or staging tables where intermediate persistence is required. Avoid patterns that rely on cross-procedure temp table visibility, which is not supported in Snowflake.
Medium
Target High-Complexity Objects Early in the Migration Wave
Assign 37 high-complexity object(s) to senior engineers at the start of the migration. Early conversion reduces schedule uncertainty and surfaces design issues while remediation options are still available.

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Results shown here come from a synthetic SQL Server test database. Running SQL2Snow against your environment produces findings based on the database objects and migration patterns it detects.

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