Why migration assessments reduce delivery risk
SQL Server to Snowflake migrations are frequently underestimated. Procedural logic, ETL dependencies, unsupported SQL patterns, and cross-system references are typically not visible in a table count or schema summary — and surface late in the program when correction is expensive.
A structured migration complexity assessment surfaces these drivers early, while planning and budgets are still adjustable.
- Early complexity identification — detect stored procedure, ETL, and dependency risk before project kickoff
- Estimation accuracy — replace assumption-based estimates with analyzed complexity signals
- Migration planning — understand object inventory, dependencies, and migration sequencing requirements
- Prioritization — identify which objects carry the highest rewrite and validation effort
- Risk reduction — avoid late-stage scope surprises by mapping dependency topology upfront
What SQL2Snow analyzes
SQL2Snow scans SQL Server environments to produce a structured picture of migration complexity. Analysis is deterministic and rule-based — results are explainable and repeatable.
Database inventory analysis
Tables, views, stored procedures, functions, triggers, and indexes — scanned across one or more databases to produce a structured object inventory.
Stored procedure analysis
Identifies patterns that drive rewrite effort and testing scope. Detected signals include: CURSOR #temp tables dynamic SQL TRY/CATCH RAISERROR
Unsupported SQL pattern detection
Flags SQL Server constructs with no direct Snowflake equivalent that require manual redesign: CLR XML patterns OPENQUERY linked servers cross-db references
Migration complexity indicators
Each object is scored for complexity (Low / Medium / High) using deterministic rule hits, producing a ranked list of highest-effort migration targets.
ETL modernization considerations
Surfaces cross-database references, linked server usage, and external dependency patterns that affect migration sequencing, coordination effort, and ETL redesign scope.
Assessment outputs
SQL2Snow generates structured, human-readable outputs designed for both technical review and executive planning discussions.
Technical outputs
- Object inventory: tables, views, procedures, functions
- Complexity scores per object (Low / Medium / High)
- Rule-hit detail: cursors, temp tables, dynamic SQL, cross-db references
- Top highest-complexity objects for remediation focus
- Draft Snowflake DDL for table schemas
- Structured assessment export for downstream use
Planning and executive outputs
- HTML migration assessment report
- Complexity summary by object type and driver
- Migration observations with risk indicators
- Stored procedure rewrite effort estimate (hours range)
- Dependency risk summary
- Executive-ready summary section for budget discussions
Common SQL Server to Snowflake migration complexity drivers
Migration overruns follow predictable patterns. The drivers below account for the majority of scope and cost variance in SQL Server modernization programs.
Stored procedure rewrite
Procedures encoding business logic require manual rewrite and extensive retesting — this is typically the largest single effort driver.
Dependency density
Cross-database references and linked server usage expand migration scope late and increase coordination overhead between teams.
Testing amplification
Validation effort grows nonlinearly with procedural complexity and integration points — frequently underbudgeted in initial estimates.
Data model refactoring
Wide tables, computed columns, identity columns, and heavy constraint patterns often require schema redesign rather than direct migration.
ETL and pipeline gaps
Upstream and downstream orchestration that depends on SQL Server-specific behavior may require redesign in parallel with the migration.
Organizational coordination
Schema spread and dependency topology create cross-team execution overhead that compounds across workstreams when not planned early.
Assessment workflow
SQL2Snow runs locally against your SQL Server environment. No data export required.
Who uses SQL2Snow assessments
Assess before you migrate
Understanding migration complexity before committing to a delivery timeline reduces the risk of scope surprises, budget overruns, and program delays. SQL2Snow produces the structured inputs needed to plan, estimate, and prioritize effectively.