Scope completeness
Inventory, dependency closure, exclusions, and ownership.
SQL Tran preserves behavior. SQL Flow preserves data and continuity.
The Evidence Pack shows whether every required migration gate has passed.
Instant assessment via instant full code translation.
Your business logic fully preserved. Guaranteed.
Use parallel load and continuous CDC.
Release with evidence and support.
Translates millions of lines of stored procedures, views, and SQL between dialects in seconds. Automated correctness and performance tests prove behavioral equivalence before cutover.
SQL Tran details →Moves large datasets with parallel, resumable loading, then streams subsequent changes with log-based CDC until the planned cutover.
SQL Flow details →Pre-migration assessment, parity testing, cutover, and 24/7 post-migration support. Our engineers work with you in all stages and make sure you are satisfied with the outcome.
Services overview →Verification runs across the lifecycle. The workflow makes the acceptance criteria, evidence, and ownership explicit before anyone asks the business to switch.
Turn the estate into evidence: inventory objects, dependencies, versions, data shape, compatibility risks, and the boundaries of the migration you are actually planning.
Agree the required tests, data tolerances, performance thresholds, continuity targets, named exceptions, and cutover gates before implementation begins.
SQL Tran produces target code, emulations, generated tests, provenance, and an unresolved-item register so every material behavior change has a visible owner.
SQL Flow moves the full starting dataset in parallel while production stays online. Resumable progress and source-aware paths keep the baseline measurable and recoverable.
SQL Flow pins the handoff and carries committed changes forward with log-based CDC. Checkpoints, lag history, retries, and gaps remain visible while the target catches up.
Run the agreed data, behavior, performance, and continuity checks. A gate passes when the required evidence passes or a named exception is explicitly accepted.
Practice the cutover and rollback procedure against the real operating constraints, including final source position, target acknowledgement, ownership, and communication.
Switch application traffic using the agreed procedure only after the readiness gates pass and the final synchronized state is recorded in the Evidence Pack.
Monitor the new production path, resolve migration defects, and close the project with the operational evidence and support coverage agreed during assessment.
Modernization Evidence Pack
The Suite turns the agreed scope and acceptance criteria into a customer-approvable record. It does not claim mathematical proof of every future workload. It shows the evidence for the work, tolerances, tests, and operational gates you agreed to run.
Inventory, dependency closure, exclusions, and ownership.
Object status, provenance, emulations, and exceptions.
Counts, checksums, value comparisons, and LOB checks.
Source-target tests and side-effect comparisons.
CDC positions, lag, retries, gaps, and schema events.
Rehearsal, performance gates, rollback, and approvals.
Evidence lineage
Every result is tied to source and target versions, fingerprints, SQL Tran and SQL Flow versions, rule and test-set versions, execution time, and the owner of any accepted exception.

We'll come back with a proposed scope, acceptance path, delivery model, and next steps.