One controlled path from legacy database to
accepted cutover.

SQL Tran preserves behavior. SQL Flow preserves data and continuity.
The Evidence Pack shows whether every required migration gate has passed.

Your source estate Code, schemas, data One inventory, not four handoffs
Spectral Core A complete journey
Your production target Ready to run Validated before cutover

Assessment

Instant assessment via instant full code translation.

SQL Tran handles millions of lines of database code in seconds.

DB Code Translation

Your business logic fully preserved. Guaranteed.

The target database is created and fully tested in one place.

Data streaming

Use parallel load and continuous CDC.

SQL Flow effortlessly keeps your source and target in sync.

Cut over

Release with evidence and support.

Whether this is your team or ours, cut over is a non-event.
Unlike disconnected tools, every decision carries forward from assessment to cutover
Test framework included

SQL Tran

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 →
Data movement + CDC

SQL Flow

Moves large datasets with parallel, resumable loading, then streams subsequent changes with log-based CDC until the planned cutover.

SQL Flow details →
Outcome-based

Managed Services

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 →

How the Suite delivers an accepted cutover

Verification runs across the lifecycle. The workflow makes the acceptance criteria, evidence, and ownership explicit before anyone asks the business to switch.

  1. Assess

    Turn the estate into evidence: inventory objects, dependencies, versions, data shape, compatibility risks, and the boundaries of the migration you are actually planning.

  2. Define acceptance

    Agree the required tests, data tolerances, performance thresholds, continuity targets, named exceptions, and cutover gates before implementation begins.

  3. Translate

    SQL Tran produces target code, emulations, generated tests, provenance, and an unresolved-item register so every material behavior change has a visible owner.

  4. Establish the baseline

    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.

  5. Synchronize

    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.

  6. Verify

    Run the agreed data, behavior, performance, and continuity checks. A gate passes when the required evidence passes or a named exception is explicitly accepted.

  7. Rehearse

    Practice the cutover and rollback procedure against the real operating constraints, including final source position, target acknowledgement, ownership, and communication.

  8. Cut over

    Switch application traffic using the agreed procedure only after the readiness gates pass and the final synchronized state is recorded in the Evidence Pack.

  9. Stabilize

    Monitor the new production path, resolve migration defects, and close the project with the operational evidence and support coverage agreed during assessment.

Three ways to put the Suite to work. Every model produces the same Evidence Pack.

Modernization Evidence Pack

Readiness should be reviewable.

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.

Scope completeness

Inventory, dependency closure, exclusions, and ownership.

Transformation correctness

Object status, provenance, emulations, and exceptions.

Data integrity

Counts, checksums, value comparisons, and LOB checks.

Behavioral equivalence

Source-target tests and side-effect comparisons.

Operational continuity

CDC positions, lag, retries, gaps, and schema events.

Cutover readiness

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.

View the proof model →
Deloitte Technology Fast 500 EMEA SOC 2 Type II ISO 27001
FAQ

Frequently asked questions

Tell us what you're moving.

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