Data profiling & quality audit
We inspect the current data for gaps, duplicates, and inconsistencies, so problems are found before the move, not after.
App Modernization · Database & Data Migration · AI-First · Results-Driven
Database and data migration is the work of moving data from one database to another, often across different engines or schemas, and reshaping it so it fits the new model correctly, without losing records or silently corrupting values along the way.
Moving rows is easy; guaranteeing they arrived complete and correct is the real job. We build the mapping carefully, migrate in stages, and reconcile row counts, sums, and samples so the new database provably matches the old one.
For 20+ years and 700+ projects our in-house Houston team has run migrations across SQL and NoSQL engines. The same people who profile your current data design the target schema, run the migration, and validate the result before anyone cuts over.
What we cover
We inspect the current data for gaps, duplicates, and inconsistencies, so problems are found before the move, not after.
We design a schema on the new database that fits how the business works now, not just a copy of the old structure.
We map every field to its new home and transform types and formats, so data lands correctly in the new model.
We move between engines, such as SQL Server to PostgreSQL or onto a NoSQL store, choosing the right fit for your workload.
We check row counts, totals, and samples of old against new, so you have proof nothing was lost or altered.
We migrate in stages with parallel runs and a rollback path, so the switch happens safely with minimal downtime.
Services
From profiling the current data to a reconciled cutover, here is how a database and data migration runs at Zen in Tech.
We profile the existing data for volume, quality, and quirks, and document the constraints the migration has to respect.
We design the new schema, choose the target engine, and plan the mapping, stages, and rollback points.
We build the extract, transform, and load pipeline that maps and reshapes data into the new database correctly.
We run the migration on a copy, reconcile old against new, and fix mapping issues before touching production.
We migrate for real in stages, run old and new in parallel where possible, and switch over with a rollback ready.
We verify integrity after cutover, monitor the new database, and support and tune it on a care plan.
Tools & platforms
The exact toolset depends on your goals — these are the platforms we use most, and we work with whatever your team already relies on.
Chosen per project — not a fixed menu. Have a preferred tool or platform? We’ll work with it.
Built to last
We build on modern, well-supported frameworks with security and accessibility baked in — dependency hygiene, input validation, HTTPS and WCAG-minded UI — so your product is safe and usable from day one.
You own all the code and assets. Everything ships with documentation and a clean handover, so your team (or ours) can maintain and extend it without lock-in.
Who we work with
20+ years across sectors — in Houston and internationally.
Transparent pricing
Pick what you’re building for an indicative range, then request an exact quote. No email wall.
Simple prices for typical tasks
Proof
See the products and growth work we’ve shipped across industries — and request a case study relevant to yours.
How we work
A short discovery call turns your idea into a clear spec and a firm range — free.
UX, data model and stack chosen for your scale, not ours.
Working software every 1–2 weeks — you see progress, not promises.
We ship, measure and keep improving with care plans.
FAQ
Cost depends on data volume, how different the source and target schemas are, and how much cleanup and transformation the data needs. We scope it after a data audit and confirm the exact number on a free call.
It is moving data from one database to another, often across engines or schemas, and reshaping it to fit the new model, with reconciliation checks that prove nothing was lost or changed. It is about correctness and integrity, not just copying rows.
Timeline scales with data volume and how much transformation and cleanup is required. We run a trial migration first to surface issues, then a staged production cutover. A realistic timeline follows the data audit.
We reconcile the new database against the old one by comparing row counts, totals, and sampled records, and we run a trial migration on a copy first. Running old and new in parallel during cutover means we can roll back if anything does not match.
Yes. We regularly move data between SQL engines, such as SQL Server or Oracle to PostgreSQL, and onto NoSQL stores like MongoDB when the workload suits it. We recommend the right target during the audit.
We minimize it. Staged migration with parallel runs lets most of the work happen while the current system stays live, so the actual cutover window is short. For large systems we plan the switch for a low-traffic window.
Yes. We are based in Houston but run database and data migrations for clients across Texas, the USA, and internationally, handled remotely by our in-house team.
Yes, Houston is our home market. Our office is at 9800 Richmond Ave in the Westchase / Energy Corridor area, and we are happy to meet local clients to plan the migration in person.
Book a free call and we will audit your current data, design the target schema, and lay out a staged migration with reconciliation at every step. One in-house Houston team handles the mapping, the ETL, the validation, and the support after cutover.
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