Migrate Synapse workloads to Microsoft Fabric Warehouse — without losing behavior, logic, or control.
Both are cloud-native analytics platforms. Both use familiar SQL and both target large-scale analytical workloads. However, they are not interchangeable. Fabric Warehouse is not a rebranding of Synapse. It is a managed, opinionated evolution with a different execution model, SQL surface, and feature set.
Fabric Warehouse intentionally limits and reshapes supported SQL features. Constructs that work in Synapse may be unsupported, ignored, or behave differently in Fabric.
Fabric Warehouse reduces support for procedural patterns, temporary object lifecycles, and control flow assumptions commonly used in Synapse codebases.
Distributed execution in Fabric introduces different optimization rules and removes some assumptions Synapse users rely on, especially around intermediate results and execution order.
Even small behavioral differences in analytics pipelines can lead to silent data corruption, incorrect aggregations, or performance regressions.
Manual rewrites introduce regressions, subtle logic changes, and performance surprises. That is exactly where SQL Tran adds value - by detecting differences early, adapting behavior automatically, and making every deviation explicit.
SQL Tran was designed for complex real-world Synapse codebases. It uses deep static analysis and a targeted emulation and rewrite layer to adapt Synapse SQL semantics to Fabric Warehouse’s execution model, preserving intent while aligning with Fabric’s supported feature set.
Where direct equivalents exist, SQL Tran uses them. Where they don’t, SQL Tran reconstructs behavior using Fabric-native SQL patterns. It transforms Synapse SQL into idiomatic Fabric Warehouse SQL that behaves the same, or flags where exact equivalence is not possible.
Nothing is treated in isolation. Dependencies across objects are analyzed and a full code lineage model is built. Broken references, unsupported constructs, and behavioral changes are detected and reported during translation.
Fabric Warehouse doesn’t support T-SQL cursors. SQL Tran materializes cursor result sets into temporary tables and rewrites loops into deterministic, row-by-row logic compatible with distributed execution.
Constructs like SET ROWCOUNT are transformed into equivalent TOP clauses.
SQL Tran includes targeted emulations and rewrites for Synapse-specific behavior when migrating to Fabric Warehouse.
Synapse data types that differ in support or behavior are rewritten to Fabric Warehouse–compatible equivalents, with explicit handling of precision, collation, and implicit casting differences.
.svg)
Identity behavior is preserved where Fabric supports it and rewritten into explicit value-generation logic where required.
.svg)
Synapse temporary tables and intermediate constructs are adapted to Fabric-supported alternatives, ensuring predictable lifecycle and scope.
Thanks to super-fast, fully custom parsers, translation of even very large Synapse codebases is practically instant. Millions of lines of SQL can be analyzed and translated in seconds.
SQL Tran does more than rewrite - it aligns Synapse logic with Fabric Warehouse’s execution guarantees, making behavior predictable in production.
This assessment is produced by running a full translation upfront, exposing exactly what will, and will not, work before migration begins.
SQL Tran’s powerful testing framework is the ultimate project enabler, even when you only have SQL scripts:
Trust is earned, not assumed.
.svg)
