Data migration consulting for databases, platforms and legacy estates
Data Migration Consulting Services
Every object inventoried, every phase priced, nothing cut over until the numbers match.
Dedicatted plans and runs data migrations for enterprises moving databases, warehouses, lakes and legacy platforms to AWS, Microsoft Azure or Google Cloud, or between them. A fixed-scope assessment maps the estate and prices the phases. Migration engineers then move the data with parallel runs, reconciliation and a rollback path, with zero-downtime cutovers where the workload allows, and hand over a platform your team runs.
- 2-week assessment Inventory, dependencies, target design and a costed plan for the migration
- From $10,000 Fixed-scope data migration assessment. The price is set before any migration work
-
AWS Premier Tier
Partnered with AWS, Microsoft Azure, Google Cloud and Databricks -
SOC 2 + ISO 27001
Regulated data moved under audited controls, with HIPAA, PCI and GDPR zones designed in
What is data migration consulting?
What is data migration consulting?
Data migration consulting assesses the data estate a company wants to move, designs the target platform, plans the migration in phases and delivers it, covering databases, warehouses, lakes, pipelines, reports and the applications that depend on them.
What do data migration consulting services include?
An inventory of every object and dependency, a target design on AWS, Microsoft Azure or Google Cloud, a phased plan with a price per phase, the migration itself with parallel runs and reconciliation, cutover with a rollback path, and the tuning that follows.
What does a data migration consultant do?
A consultant maps what exists and who depends on it, chooses the migration path for each workload, rehost, replatform or refactor, sets the validation rules before any data moves, and signs off cutover only on evidence.
When data migration consulting is the right call
-
A platform is reaching end of life
An on-premises database, appliance or licence that is due for renewal, a data centre exit, or a vendor that stopped investing.
-
The migration is bigger than one team
Hundreds of tables, dozens of pipelines and reports nobody fully owns. The inventory and the dependency map come before the plan.
-
The numbers cannot be wrong
Finance, regulatory or customer data where a silent mismatch costs more than the migration. Reconciliation is designed in, not checked at the end.
Our data migration consulting services
Fixed-scope entry points. Each ends with something your team can act on, and every migration phase is priced before it starts.
-
Start here
Data migration assessment
For an estate that has to move
- Duration
- Two weeks
- Price
- From $10,000, fixed scope
- You get
- Object inventory, dependency map, target design and a phased plan with a price per phase
-
Database migration
For databases moving to the cloud or between engines
- Duration
- Fixed-scope phases
- Price
- Priced before each phase
- You get
- Schemas, data and code moved with change data capture, tested and reconciled before cutover
-
Data platform migration
For warehouses, lakes and pipelines
- Duration
- Fixed-scope phases
- Price
- Priced before each phase
- You get
- Pipelines and models rebuilt as code, parallel runs until row counts and checksums match
Rehost, replatform or refactor
Three migration paths that get called a data migration. The assessment picks one per workload, on evidence, not by default.
- Rehost The same database or platform, moved as it is
- Replatform The same data model on a managed cloud engine
- Refactor A new model on a new platform, migrated in phases
| Rehost The same database or platform, moved as it is | Most common Replatform The same data model on a managed cloud engine | Refactor A new model on a new platform, migrated in phases | |
|---|---|---|---|
| Change to the data | None | Engine or version, model kept | Model and pipelines redesigned |
| Best at | Speed and a fixed cutover date | Lower run cost without a rewrite | A platform built for the next ten years |
| Typical tools | AWS Database Migration Service, Application Migration Service | Amazon Aurora, RDS, Azure SQL, Cloud SQL, change data capture | Databricks, Redshift, Snowflake, BigQuery, dbt, Airflow |
| Risk | The old problems move too | Compatibility, tested in parallel runs | Scope, held by fixed-scope phases |
| Cost after | Same shape, cloud prices | Managed service, less operations | Storage and compute scale apart |
| Best for | Data centre exits on a deadline | Most database migrations | Warehouses and lakes going lakehouse |
| See cloud migration services → | See cloud data migration packages → | See data warehouse consulting → |
The assessment settles the path per workload with your data, your deadline and your team, in two weeks.
Book the assessmentHow does a data migration project run?
How do companies use data migration consulting?
To leave a data centre or an end-of-life platform, to consolidate databases and warehouses after an acquisition, to move analytics, ERP and SAP data to a cloud platform, and to migrate between clouds when the contract or the architecture changes.
What is the data migration process?
Assess, design, migrate, validate, cut over. A two-week assessment with an inventory and a costed plan, a target design per workload, migration in phases with parallel runs, validation on row counts and checksums, and a cutover with a rollback path.
How long does a data migration take?
The assessment takes two weeks. A single database migration typically runs four to eight weeks. A data platform migration runs in phases scoped and priced after the assessment, each with its own parallel run and cutover.
How data migration consulting works with us
Engineers use AI at every stage. A person signs off every cutover.
-
Weeks 1 to 2
Assessment
Every object, dependency, consumer and cost is inventoried, and each workload gets a migration path with reasons.
- Inventory and dependency map
- A phased plan with a price per phase
-
Weeks 3 to 4
Target design and tooling
Target environments are built as code, migration tooling and validation rules are set, and a pilot workload moves end to end.
- Environments and access as code
- Validation rules agreed before data moves
-
Weeks 5 to 12
Migrate in phases
Workloads move in the agreed order with change data capture and parallel runs, reconciled on row counts and checksums.
- Parallel runs per phase
- Reconciliation reports before each cutover
-
Cutover and after
Cut over and tune
Each phase cuts over on evidence with a rollback path, then queries, cost and operations are tuned and your team is trained to run the platform.
- Cutover with a rollback path
- Your team trained to run it
Migrations that hold up in production
The method is the same for a database and a data platform. Inventory first, validate everything, cut over only on evidence.
- 2 weeks from kickoff to a costed migration plan
- 100% of moved objects reconciled on row counts and checksums before cutover
- 3 clouds AWS, Microsoft Azure and Google Cloud, and migrations between them
- 45 to 58% lower infrastructure cost in the platform migrations we publish
Delivered under the controls audited for our SOC 2 and ISO 27001 programs, with HIPAA, PCI and GDPR zones designed into the target platform where they apply.
What are the benefits of data migration consulting?
Why hire a data migration consulting company?
Because the tooling is easy to run and the dependencies are not. A partner brings the inventory method, the validation rules and the cutover discipline that keep reports, applications and auditors happy on the Monday after.
What are the risks of a data migration?
Silent data loss, a report that disagrees with its source, an application that finds its database gone, and a cutover with no way back. Each one has a control in the plan, from checksums to a rollback path.
How does a migration reduce cost?
Retired licences and hardware, storage and compute that scale apart, and pipelines rebuilt as code that one engineer can operate. In the migrations we publish, infrastructure costs fell by 45 to 58 percent.
Migrations we have delivered
All case studies
Legacy Data Platform Modernization for a European Pet Insurance Provider
Modernize legacy DB2 systems to AWS. Discover how a European insurer unified 18 databases, cut costs by 45%, and achieved 7× faster analytic
Migration of Canadian retail operations platform from IBM to cloud architecture on AWS
Discover how a national retailer migrated legacy IBM systems to a modern cloud architecture, achieving 50% faster POS and seamless e-commerce integration.
From Disaster Recovery to Production: VVN Group’s Zero-Downtime SAP Migration to AWS
How VVN Group moved a 20-year-old SAP ECC and Oracle landscape to AWS with no business downtime, and cut infrastructure cost 31% by starting with disaster recovery.
The migration stack we work in
Chosen per workload, never by default. Every layer is delivered as code into your accounts.
- Databases Moved with schema conversion and change data capture
-
PostgreSQL -
MySQL -
Oracle -
MS SQL Server -
MongoDB -
Amazon Aurora -
Amazon RDS
-
- Migration tooling Cutovers measured in minutes
-
AWS Database Migration Service -
AWS Application Migration Service -
Debezium -
Kafka
-
- Data platforms Targets for warehouses and lakes
-
Amazon Redshift -
Snowflake -
BigQuery -
Databricks -
Apache Iceberg
-
- Pipelines Rebuilt as code, tested against a baseline
-
Airflow -
dbt -
AWS Glue -
Spark -
Amazon EMR
-
- Validation and governance Reconciliation, data quality and lineage
-
Great Expectations -
DataHub -
Unity Catalog
-
- Cloud and infrastructure Target environments and access control as code
-
AWS -
Microsoft Azure -
Google Cloud -
Terraform
-
FAQ
What is included in a data migration assessment?
An inventory of every database, table, pipeline, report and consumer, a dependency map, a target design per workload, validation rules, and a phased plan with a price for each phase. Fixed scope, from $10,000, two weeks.
Can you migrate to AWS, Azure or Google Cloud?
Yes, and between them. We are an AWS Premier Tier Services Partner and work with Microsoft Azure and Google Cloud. The target is chosen per workload in the assessment, on evidence.
How do you avoid data loss during a migration?
Validation rules are set before any data moves. Every phase runs in parallel with the source, row counts and checksums are reconciled, and cutover happens only when they match, with a rollback path if they do not.
Can the migration run with zero downtime?
For most databases and platforms, yes, with change data capture keeping the target in sync until a cutover measured in minutes. Where a short window is unavoidable, the plan says so before you commit.
Do you migrate legacy and on-premises systems?
Yes. Data centre exits, end-of-life databases and appliances, mainframe data and ERP data are the bulk of the work. See our cloud data migration packages for the fixed-scope shapes.
Who owns the platform after the migration?
You do. Environments, pipelines and validation are delivered as code into your accounts and repositories, and your team is trained to run them.
Do you handle regulated data?
Yes. HIPAA, PCI and GDPR zones are designed into the target platform, access follows your policies, and our own delivery is audited under SOC 2 and ISO 27001.
What does data migration consulting cost?
The first call is free and settles whether an assessment is needed. The assessment is fixed scope from $10,000. Every migration phase is priced before it starts, against the inventory and the plan, so there is no hourly billing and no change-order cycle.
How do you use AI in a migration?
Our engineers use AI at every stage, profiling sources, converting schemas and code, drafting pipelines, tests and documentation. Every result is verified by an engineer against the source before it moves.
Question not answered? Ask a migration architect. Same-day reply on feasibility questions.
Data migration consulting company on AWS, Azure and Google Cloud
Dedicatted provides data migration consulting services for organizations moving databases, data warehouses, data lakes and legacy platforms to the cloud, or between clouds, from the fixed-scope assessment and target design to phased migration with parallel runs, reconciliation and cutover. The work sits inside our data and analytics services, next to cloud data migration and data warehouse consulting, and is delivered by an AWS Premier Tier Services Partner.
Database migration services
Our database migration services move relational and NoSQL databases to managed cloud engines such as Amazon Aurora, Amazon RDS, Azure SQL and Cloud SQL, or between engines, with schema conversion, change data capture and a cutover measured in minutes. Every database is inventoried with its consumers first, tested in a parallel run, and reconciled on row counts and checksums before the application points at it.
Data platform migration consulting
Data platform migration consulting covers warehouses, data lakes, pipelines and the reports that depend on them. Data migration consultants rebuild pipelines as code on Amazon Redshift, Snowflake, BigQuery or Databricks, run the old and new platforms side by side, and cut over report by report once the numbers reconcile.
We support businesses with
- data migration assessment, inventory and dependency mapping
- database migration to AWS, Microsoft Azure and Google Cloud
- data warehouse and data lake migration to a lakehouse platform
- legacy, mainframe, ERP and SAP data migration
- cloud-to-cloud data migration
- validation, reconciliation and cutover with a rollback path
Cloud-to-cloud data migration
Moving data between AWS, Microsoft Azure and Google Cloud is a migration with two clouds to keep in sync. Our data migration consultants map the services on both sides, choose the path per workload and keep the source live until the target reconciles.
Data migration consultants for legacy systems
Data centre exits, end-of-life appliances and mainframe data need an inventory before a plan. Our consultants extract the data model and the dependencies from the running system, design the cloud target and migrate in phases while the business keeps running.
How data migration consulting is priced
The first call is free. The assessment is fixed scope from $10,000 and takes two weeks. Each migration phase is priced before it starts, against the inventory and the plan, with no hourly billing and no change-order cycle.
Get started with a migration architect
Tell us what has to move, where it runs today and the date that matters. Our team responds within one business day with relevant experience and a first read.
Thanks, we have it.
Our team replies within one business day, with relevant experience and a first read on your problem.