End-to-end data migration - cloud, on-prem, hybrid. Zero downtime, zero data loss. We migrate databases, data warehouses, ERP and CRM data, and legacy system data with full validation at every step.
Platforms and Tools We Use - AWS, Azure, Google Cloud, Oracle, SQL Server, PostgreSQL, MongoDB, AWS DMS
Data migration covers a wider range of work than a single database transfer. We migrate relational and NoSQL databases, data warehouses, and data lakes; cloud-to-cloud data between hyperscalers; legacy system data trapped in ageing on-premises platforms; and the ERP and CRM data that operations, finance, and sales teams depend on every day. Each of these carries its own risk profile - a database engine swap requires schema conversion, an ERP migration requires reconciliation against financial records, and a cloud-to-cloud move requires validating that nothing was silently dropped in transit.
Most data migration failures are not caused by the transfer itself - they are caused by skipping assessment and validation. A migration that starts from an export script rather than a mapped schema, or that treats a completed transfer job as proof of success rather than validating row-by-row against the source, is the pattern behind almost every migration horror story. We work across the major cloud platforms - AWS, Azure, and Google Cloud - and the databases and applications built on top of them, including Oracle, SQL Server, PostgreSQL, and MongoDB.
Our approach is assessment-first and validation-gated: we map your source systems and data before proposing a plan, and no cutover happens until the migrated data has been checked against the source and passed. For a full breakdown of what a migration typically costs by scope, see our data migration cost guide.
Migration approach
Ad-hoc export and import scripts with no validation against the source
Migration approach
Assessed, planned migration with schema mapping and a defined cutover strategy
Downtime
Extended maintenance windows and unplanned outages during cutover
Downtime
Zero-downtime parallel-run cutover with a tested rollback path retained throughout
Data quality
Duplicate, inconsistent, and invalid records carried straight into the new system
Data quality
Structured data cleansing that resolves quality issues before they reach production
Validation
Migration assumed successful once the transfer job completes without errors
Validation
Checksum and row-level validation against the source before cutover is approved
Compliance
Encryption and access controls added after the migration if a gap is discovered
Compliance
HIPAA, SOC 2, and PCI-DSS requirements designed into the migration plan from day one
The gap between these two approaches usually only becomes visible after cutover - when missing records, broken reports, or downtime surface in production instead of during validation.
Five migration types covering every layer of your data - from a single database to a full enterprise data estate.
Move databases and applications from on-premises infrastructure to AWS, Azure, or Google Cloud, or migrate between cloud providers, with continuous replication and a zero-downtime cutover.
Homogeneous and heterogeneous database migrations - Oracle, SQL Server, PostgreSQL, MongoDB, and more - with full schema mapping, data type conversion, and row-level validation.
Migrate the data behind ERP, CRM, and line-of-business applications during a platform change or version upgrade, without disrupting the teams that depend on it daily.
Move file, object, and block storage between on-premises, hybrid, and cloud environments, including large-volume archive transfer for data sets too large for online migration alone.
Rebuild or re-platform extract, transform, and load pipelines feeding your data warehouse or analytics layer, so downstream reporting keeps working through and after the migration.
Realistic pricing bands based on the scope of past engagements. For the full cost breakdown by migration type, read our data migration cost guide. Every project starts with a free assessment so the estimate reflects your actual systems and data.
$5,000 - $15,000
For a single database or application migration
$20,000 - $60,000
For multi-system migration or data warehouse consolidation
$75,000 - $250,000+
For ERP, CRM, and data warehouse migration at scale
Enterprise engagements are scoped and phased against a multi-month roadmap rather than priced as a single fixed quote.
A structured six-stage process from free assessment through schema mapping, cleansing, execution, and validated go-live.
We audit your source systems, data volumes, schema complexity, and compliance requirements to produce a migration plan and risk register.
We define the migration strategy, sequencing, and cutover approach, sized to your data volume, downtime tolerance, and regulatory obligations.
We map source schema to the target data model, including data type conversion and transformation logic for heterogeneous migrations.
We identify and resolve duplicate records, inconsistent formatting, and invalid values before data moves to the target environment.
We execute the migration using continuous replication or batch transfer, matched to your data volume and acceptable migration window.
We validate migrated data against the source using checksums and row-level reconciliation, then cut over with a tested rollback path retained.
We audit your source systems, data volumes, schema complexity, and compliance requirements to produce a migration plan and risk register.
We define the migration strategy, sequencing, and cutover approach, sized to your data volume, downtime tolerance, and regulatory obligations.
We map source schema to the target data model, including data type conversion and transformation logic for heterogeneous migrations.
We identify and resolve duplicate records, inconsistent formatting, and invalid values before data moves to the target environment.
We execute the migration using continuous replication or batch transfer, matched to your data volume and acceptable migration window.
We validate migrated data against the source using checksums and row-level reconciliation, then cut over with a tested rollback path retained.
Select an industry to see how we handle the compliance, validation, and continuity requirements specific to your data.
Healthcare organisations migrate patient records, claims data, and clinical systems under strict HIPAA requirements - our migrations preserve data integrity, chain of custody, and full audit history throughout.
Healthcare organisations migrate patient records, claims data, and clinical systems under strict HIPAA requirements - our migrations preserve data integrity, chain of custody, and full audit history throughout.
Financial services firms migrate core banking, transaction, and reporting data under SOC 2 and PCI-DSS controls - our migrations are validated against regulatory audit and reconciliation requirements.
Manufacturers migrate ERP, MES, and supply chain data to modern platforms - consolidating fragmented plant-level data sources into a single, governed data environment.
E-commerce businesses migrate product catalogs, order history, and customer data during platform replatforming - with migrations sequenced to avoid disrupting live sales.
SaaS companies migrate multi-tenant customer data during platform re-architecture, cloud provider changes, or database re-platforming - with per-tenant validation before cutover.
Perimattic's work resulted in stable production systems. The team was helpful, easily accessible, and communicative through email. Their professionalism was impressive.
Quality
4.5
Schedule
5.0
Cost
5.0
Willing to Refer
4.5
DevOps Managed Services · Oct 2023 - Aug 2024
24/7 monitoring and support for production environments plus Linux server administration for a leasing automation company.
The new architecture is scalable and highly efficient, saving a lot of money in fees. Perimattic provides high-quality IT consulting and cloud development work promptly and at great value. The team remains involved from the planning stage to providing support, showing diligence and proactiveness.
Quality
5.0
Schedule
5.0
Cost
4.5
Willing to Refer
5.0
AWS Migration (Legacy → Microservices) · Nov 2018 - Ongoing
Transitioned a travel systems company's legacy server system to an AWS-based microservices architecture with ongoing maintenance.
Four structural advantages that separate a successful migration from a costly data incident.
We map your source systems, data volumes, and schema complexity before proposing a migration plan. A migration strategy chosen before assessment produces surprises mid-project - we scope against the real data, not an assumption.
Our parallel-run cutover approach keeps the source system operational while the target is populated and validated. Users experience no downtime, and a tested rollback path is retained until the source is safely decommissioned.
Every migration includes checksum or row-level validation against the source before cutover proceeds. If the data does not match, cutover is delayed and the discrepancy is resolved - not shipped and fixed later.
HIPAA, SOC 2, and PCI-DSS requirements are mapped during assessment and designed into the migration process from day one - encryption, access controls, and audit evidence are not retrofitted after the fact.
“A migration is only successful once the target data has been validated against the source - a completed transfer job is not proof of anything.”
Timeline depends on data volume, the number of source and target systems, and how much schema transformation is required. A small migration - a single database or application with a straightforward schema - typically takes two to four weeks from assessment to go-live. A medium-complexity migration involving multiple systems, meaningful data cleansing, or ETL pipeline rebuilding typically takes six to twelve weeks. An enterprise migration spanning ERP, CRM, and data warehouse systems with regulatory validation requirements is delivered in phases over three to six months. We provide a realistic, data-driven timeline during the free assessment rather than a generic estimate.
Our default approach is a zero-downtime, parallel-run migration: the target system is populated and kept synchronised with the source through continuous or scheduled replication while the source system remains fully operational. We validate the migrated data in the target environment, then cut over traffic incrementally with a tested rollback path retained until the source system is safely decommissioned. For smaller migrations where a brief, scheduled maintenance window is acceptable to the business, we can also plan a shorter cutover window - the approach is agreed with you before migration begins, not decided by default.
Yes, data cleansing is a standard phase of our migration process, not an optional add-on. Before data moves to the target system we identify and resolve duplicate records, inconsistent formatting, orphaned references, and invalid or incomplete values. Cleansing is scoped during the assessment phase based on the actual condition of your source data - a migration is also the highest-leverage moment to fix long-standing data quality issues, since resolving them after go-live is significantly more expensive.
Data is encrypted in transit and at rest throughout the migration using the same or stronger controls than the source and target systems require. We use replication and validation tooling that never leaves a data set in an unencrypted or unmonitored intermediate state, and we scope access to the migration environment to the engineers actively working on it. Every migration includes checksums or row-level validation to confirm the migrated data matches the source exactly, and a tested rollback plan is in place before the first record moves.
Yes. For healthcare clients we operate under a business associate agreement (BAA) and design the migration - encryption, access logging, and data handling - to HIPAA requirements. For financial services and SaaS clients operating under SOC 2 or PCI-DSS, we map the relevant controls to the migration process and produce the audit evidence needed to satisfy compliance review. Compliance requirements are established during the assessment phase and built into the migration plan from the start, not retrofitted afterward.
A small migration typically involves a single database or application, a moderate data volume, and minimal schema transformation - for example, migrating one PostgreSQL database to a managed cloud instance. A medium migration involves multiple connected systems, meaningful schema mapping or data cleansing, and an ETL pipeline that needs to be rebuilt or reconfigured - for example, consolidating several regional databases into one cloud data warehouse. An enterprise migration spans ERP, CRM, and data warehouse systems simultaneously, carries regulatory validation requirements, and is delivered in phases against a multi-month roadmap. We scope your engagement into the right band during the free assessment rather than applying a one-size estimate.
Yes. Heterogeneous migrations - moving between different database engines such as Oracle to PostgreSQL, SQL Server to MySQL, or a relational database to MongoDB - require schema conversion and data type mapping in addition to the data transfer itself. We handle schema conversion, stored procedure and trigger translation where applicable, and validation of the converted schema against the original before any production data moves. Heterogeneous migrations typically take longer than same-engine migrations because of this conversion work, which we scope explicitly during assessment.
Every migration we run has a tested rollback plan established before the first record moves - the source system is never decommissioned until the target has been validated under real usage and the rollback window has closed. If a discrepancy is found during validation, we do not proceed to cutover; we investigate and re-run the affected batch until the data matches. This validation-gated approach means a migration issue results in a delayed cutover, not data loss or extended downtime.
Tell us about your source systems, the data volume and compliance requirements you are working with, and the timeline you need - and we will produce a migration plan in a free assessment call.