How the work gets done
Analyze the full Synapse codebase, remove or adapt distribution assumptions, rewrite supported patterns, and apply targeted emulations. The report makes clear what Fabric can preserve and what needs a decision.
Azure Synapse Analytics migration path
Azure Synapse Analytics to Fabric Warehouse
Move a Synapse dedicated SQL pool to Fabric Warehouse with focused compatibility analysis and T-SQL refactoring.
The job to be done
Move the work, not just the words.
A migration becomes expensive when every object arrives as a separate mystery. Start with the workload as a whole, then sort the result into three useful categories: what can move directly, what needs adaptation, and what deserves a deliberate engineering decision.
For this path, that means understanding Synapse dedicated-pool schemas, distributions, T-SQL, procedures, and analytical SQL patterns. and producing Fabric Warehouse T-SQL, supported object types, and native alternatives for platform gaps.. The differences that could affect production behavior are surfaced while the team can still act on them, not after they have become deployment surprises.
Why this path is difficult
Synapse and Fabric look similar until the workload meets the target
Dedicated SQL pool distributions, temporary objects, identity behavior, procedural code, and unsupported system features can all change the migration. Microsoft guidance itself calls for compatibility assessment, refactoring, and validation rather than a blind copy.
Where it helps
For a large warehouse, use the assessment to identify the high-dependency objects, sequence remediation, and build a target validation pack before moving data or changing downstream reports.
The payoff
Know what is ready, what changed, and what still needs a decision.
A real assessment before commitment
The translation runs up front, then becomes an object inventory, coverage view, complexity signal, and findings list. You see the work before you plan it.
Target code that preserves intent
Synapse tables, views, materialized-view patterns, and queries are refactored for Fabric Warehouse. Synapse procedures are translated within the T-SQL family, with unsupported Fabric constructs tagged for review.
Evidence for the decisions that remain
Generated tests compare source and target behavior for tables, views, functions, and procedures. Performance is recorded alongside correctness, so a passing translation is not mistaken for a fast one.
Where the work happens
The details that make or break this migration.
These are the source patterns that usually create rework. Each card explains the target-aware treatment, so your team can see what is being adapted and where a decision is still required instead of discovering a mismatch during deployment.
Distribution removal and redesign
Identify Synapse distribution assumptions and rewrite table definitions for Fabric’s architecture instead of carrying obsolete distribution metadata forward.
Data types and implicit casts
Adapt types, precision, collation, and implicit casting where Fabric’s supported surface differs from the dedicated pool.
Identity columns
Preserve identity behavior where Fabric supports it and generate explicit value logic where the target requires a different implementation.
Temporary tables
Analyze temporary-object usage and choose Fabric-supported alternatives with predictable lifecycle and scope.
Cursors and row limits
Materialize cursor result sets into temporary structures and rewrite row-count limiting into target-compatible forms when needed.
Views and procedural routines
Translate dependent views, procedures, and functions together, applying emulations where possible and keeping target-specific review focused.
The path to confidence
See the work. Make the call. Prove the result.
Assessment, translation, and testing stay connected, so your team can see what the software handled automatically, what it changed to fit the target, and which decisions still need a human owner.
- Assess
Find the true migration surface
Connect or upload Azure Synapse Analytics code. The parser reads every object, builds dependencies, scores complexity, and shows where Fabric Warehouse needs a different construct.
- Translate
Convert the codebase as a system
Relational and procedural objects are translated together, with source semantics kept in context. Where Fabric Warehouse has no direct equivalent, the engine uses a supported rewrite or names the gap clearly.
- Validate
Turn output into migration evidence
Deploy the generated target objects to staging, inspect the differences, run generated tests, and use the results to focus engineering time on the exceptions that matter.
The source and target
Make the change easy to explain.
A script that runs is not proof that a migration worked. The real question is what the target needed in order to preserve the workload’s intent, and whether those changes have been tested. SQL Tran keeps that answer visible at the object level.
Source semantics
Synapse dedicated-pool schemas, distributions, T-SQL, procedures, and analytical SQL patterns.
Target expression
Fabric Warehouse T-SQL, supported object types, and native alternatives for platform gaps.
Evidence you can use
Make the decision easy to defend.
This is not a black box. Findings stay attached to the translated workload, so engineers can inspect the change while decision-makers can see what remains before they approve the move.
Synapse-to-Fabric compatibility analysis
T-SQL-aware refactoring
Generated validation workflow
Your review list
Find the hard parts before they find you.
Every migration has a boundary. Surface it early, and reviewers can spend their time on the few decisions that shape the result instead of rereading thousands of generated lines.
- Synapse-to-Fabric compatibility analysis
- T-SQL-aware refactoring
- Generated validation workflow
Your working set
What the assessment leaves you with
- An inventory of tables, views, procedures, functions, triggers, and the code volume in each group
- A dependency graph that shows object relationships, unresolved references, and the highest-impact objects to review first
- Generated target output produced by the same translation engine that reports the assessment: Fabric Warehouse T-SQL and target-compatible schema definitions.
- Object-level findings that identify target gaps, translation errors, and the exact code that needs review
- Behavior tests with expected result sets, changed data, messages, or output values ready for source-versus-target comparison
Take the next step
Replace the guess with an answer from your codebase.
Run the assessment against your objects, dependencies, and target version. We do that by running full translation and exposing the real result. That tells you exactly what translates cleanly, what changes, and what needs your attention.
Start the assessment