SQL2Snow
Local-first scanning • Structured risk scoring • Executive-ready outputs

Enterprise Migration Risk Intelligence
for SQL Server → Snowflake

Quantify the top drivers of migration cost overruns and timeline variance before executive budget approval.

Request Assessment Overview View Methodology
Designed for enterprise environments: run scans locally, share only the report artifacts you choose.
Built by engineers with real enterprise migration program experience.

Migration estimates fail for predictable reasons

Overruns usually come from concentrated risk in procedural logic, hidden dependencies, and program execution overhead—not from table counts. SQL2Snow surfaces cost variance drivers early, when plans and budgets are still adjustable.

Architect signal

Hidden procedural complexity

Stored procedures encode business logic that often requires manual rewrite and extensive retesting.

Scope growth

Dependency-driven expansion

Cross-database references and linked systems expand migration scope late and increase coordination.

Program risk

Testing amplification

Validation effort grows nonlinearly with procedural complexity and integration points.

The SQL2Snow Migration Risk Framework

A structured model scoring the five drivers most associated with enterprise migration overruns—designed to translate technical findings into defensible planning inputs.

Stored Procedure Rewrite Risk

Detects patterns that drive manual rewrite effort.

Signals: cursors, temp tables, dynamic SQL, complex error handling.

Dependency Density Risk

Identifies hidden scope expansion drivers.

Signals: cross-db references, linked server usage, external query patterns.

Data Model Refactor Risk

Highlights schema patterns that often require redesign.

Signals: wide tables, computed/identity usage, complex constraints/indexing.

Testing Amplification Risk

Estimates validation burden and risk concentration.

Signals: procedural complexity, dependency graph density, object mix.

Organizational Coordination Risk

Approximates cross-team execution overhead.

Signals: schema spread, dependency topology, high-risk object distribution.
Methodology note: SQL2Snow uses deterministic rules and transparent heuristics (no black-box ML) to support repeatable assessments and explainable outputs.

From technical complexity to financial exposure

SQL2Snow translates object-level findings into a risk summary that supports planning, budgeting, and executive decision-making.

Architect outputs

  • Object inventory: tables, views, procedures, functions
  • Complexity scoring per object (Low / Medium / High)
  • Stored procedure rewrite effort estimate (range + drivers)
  • Top highest-risk objects for remediation focus
  • Rule hits: cursors, temp tables, dynamic SQL, cross-db references, etc.

Director / executive outputs

  • Risk driver scorecard (0–100) with Low/Medium/High levels
  • Cost variance and timeline variance ranges (confidence bands)
  • Key risk narrative: what is most likely to drive overruns
  • Prioritized mitigation actions: where to invest first
  • Executive-ready summary section for budget discussions

How it works

Designed for enterprise environments: run scans locally and share only the resulting artifacts.

Run locally Execute SQL2Snow in your environment (no database export required).
Generate a report package Produce structured scan output and an executive-ready HTML report.
Use outcomes to validate plans Review top risks, effort ranges, and mitigation priorities (self-serve or guided).

Enterprise Migration Risk Assessment

Fixed-scope assessment producing a structured scorecard and executive-ready outputs to support defensible planning and budget approval.

Deliverables

  • Risk driver scorecard (Top 5 drivers)
  • Stored procedure rewrite effort estimate (hours range + top contributors)
  • Dependency risk summary (cross-db & external dependency signals)
  • Testing amplification estimate
  • Executive summary report
Scope boundary: SQL2Snow focuses on risk visibility and planning inputs (not code conversion or migration execution).
Assessment overview Typical delivery: 7–10 days (depending on scope and access constraints).
Starting at $12,500
Best fit for enterprise programs seeking defensible estimates and early risk visibility.
Request Overview
Prefer self-serve? We can discuss a report-only option where appropriate.

Research

View all research →

Framework-first analysis intended for enterprise architects and modernization leaders.

The 5 Drivers of SQL Server → Snowflake Migration Cost Overruns

A structured explanation of the framework and why estimates fail—and how to quantify risk drivers early.

About SQL2Snow

SQL2Snow was created to address a recurring challenge in enterprise data platform migrations: the lack of objective, explainable methods for evaluating migration risk before major investments are approved.

Enterprise-grade

Structured outputs, transparent methodology, and deterministic rules designed for repeatable assessments.

Research-driven

Focused on measurable drivers of overruns and explainable scoring rather than black-box predictions.

Request an assessment overview

Email

Send a short note with your approximate scope. We’ll reply with an overview and next steps.

Email hello@sql2snow.com
Tip: include SQL Server version, number of databases, and an approximate stored procedure count.

Optional intake checklist

  • SQL Server version and edition
  • # databases in scope
  • Approx. # stored procedures / functions / views
  • Cross-database usage and linked servers (yes/no)
  • Target migration timeline and key constraints
Security: avoid sending connection strings or credentials. Share only report artifacts as needed.