Data & Analytics Services · AWS, Azure, Google Cloud

Cloud Data Migration & Modernization

Warehouses, pipelines, reports and databases moved to the cloud in fixed-scope phases, priced before you commit.

Cloud Data Migration & Modernization helps businesses move outdated data systems to scalable, cloud-native environments designed for modern operations, analytics, and long-term growth. Legacy databases and fragmented on-prem infrastructure slow innovation, raise maintenance costs and limit access to critical insights.

See the offers Check your stack
Blade servers in a data center rack
Assessment from $10,000 Scope and price fixed before any migration work begins.

What is cloud data migration?

  • What is cloud data migration?

    Cloud data migration is the process of transferring data from on-premises systems, legacy databases, or other environments to cloud platforms such as AWS, Azure, or Google Cloud.

  • What are cloud data migration services?

    Cloud data migration services include data assessment, migration planning, data transfer, validation, database migration, and post-migration optimization in cloud environments.

  • What does a cloud data migration company do?

    A cloud data migration company provides consulting, develops migration strategies, ensures secure data transfer, and optimizes data storage and performance in the cloud.

Our offering

Three fixed-scope entry points. Each one de-risks the next, and you can stop after any of them.

Start small, prove it, scale

The assessment feeds the design; the proof of concept proves the design; the pilot migrates a real workload. No big-bang commitment.

  • SOC 2 Type 2
  • ISO 27001

SOC 2 Type 2 and ISO 27001, held and renewed for multiple consecutive years.

Smart Assessment

From $10,000

Infrastructure and data audit:

  • Automated inventory of warehouse, ETL and BI objects
  • Dependency analysis across reports, pipelines and schemas
  • Migration feasibility, risk and cost evaluation
  • Compliance and security check
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Most popular

Migration Design & PoC

From $25,000

Detailed migration roadmap:

  • Target architecture on AWS, Azure or Google Cloud
  • Proof of concept on selected workloads
  • Performance and compatibility testing
  • Security and access planning
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Migration Pilot

From $80,000

Workload migration in phases:

  • Pilot migration of a production workload
  • Pipelines converted to cloud-native processing
  • Cost and performance optimization
  • Post-migration monitoring and support
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Automated discovery of your data estate
✓
✓
✓
Dependency mapping across reports, ETL pipelines and warehouse objects
✓
✓
✓
Target architecture and migration roadmap
✖
✓
✓
Proof of concept on selected workloads
✖
✓
✖
Pilot migration of a production workload
✖
✖
✓
Team
3 engineers
4 engineers
8 engineers

Starting points; the exact scope and price are fixed in the assessment before any migration work begins.

Our approach

Your vision, our framework: each phase pairs what you want with how we deliver it, and what you walk away with.

  • Assessment & planning

    Learn · Plan

    We inventory every object, dependency and pipeline in the data platform with assessment tooling, then scope the migration and modernization with Dedicatted's framework: what moves as is, what is rebuilt, what retires.

    • Strategy
    • Processes

  • Migration execution

    Validate · Execute

    The scope is proved on a proof of concept first, then executed in phases with parallel runs: row counts, checksums and reconciliation reports before anything is decommissioned.

    • Handbooks
    • Delivery teams

  • Cutover & support

    Support · Improve

    Cost optimization is designed in from the first phase, not added after. After cutover your team is trained to run the platform, with monitoring and support through the first months.

    • Best practices
    • Training programs

Everything that moves, moves together

A data platform is more than a database. We migrate and modernize all five layers in step, so nothing breaks the day after cutover.

  1. Data warehouse

    Schemas, history and workloads move to a cloud warehouse

  2. Applications

    Connections repointed and tested against the new platform

  3. Databases

    Licensed and open-source engines re-platformed or upgraded

  4. Reports and BI

    Dashboards rebuilt or repointed, no analytics blackout

  5. Data pipelines

    ETL jobs converted to cloud-native processing

How is cloud data migration implemented?

  • How do companies migrate data to the cloud?

    Companies migrate data by analyzing existing data sources, selecting appropriate migration tools, preparing data for transfer, and executing migration with minimal downtime.

  • What is the cloud data migration process?

    The process includes data discovery, assessment, migration strategy selection, data cleansing, transfer, validation, and continuous monitoring.

  • How long does cloud data migration take?

    Cloud data migration timelines vary from a few days to several weeks depending on data volume, complexity, and system integration requirements.

What are the benefits of cloud data migration?

  • Why use cloud data migration services?

    Cloud data migration services help improve data accessibility, enhance scalability, reduce infrastructure costs, and support advanced analytics and cloud-native applications.

  • What are the key benefits of cloud data migration?

    Key benefits include improved data availability, better performance, enhanced security, cost efficiency, and easier integration with modern cloud services.

  • How does cloud data migration improve business performance?

    Cloud data migration improves performance by enabling real-time data access, supporting data-driven decision-making, and increasing operational efficiency.

Migration technology capabilities

Pick your target cloud. Every on-prem layer on the left has a proven landing zone on the right.

Layer
On-prem source
aws AWS target
Data warehouse Warehouse and lakehouse
ms sql server SQL Server oracle Oracle teradata Teradata ibm Netezza ibm DB2 hive Hadoop / Hive sap SAP BW Vertica
snowflake Snowflake databricks Databricks amazon redshift Amazon Redshift
ETL / pipelines Batch and ELT
Informatica talend Talend ms sql server SSIS ibm IBM DataStage Pentaho Ab Initio alteryx Alteryx sas SAS
aws glue AWS Glue databricks Databricks dbt dbt airflow Airflow
Reporting & BI Reports and dashboards
ms sql server SSRS / SSAS microstrategy MicroStrategy qlik Qlik ibm Cognos sap SAP BusinessObjects sisense Sisense
quicksight QuickSight tableau Tableau power bi Power BI
Databases Licensed and open-source
ms sql server SQL Server oracle Oracle ibm DB2 sybase Sybase mysql MySQL postgresql PostgreSQL mongodb MongoDB cassandra Cassandra hbase HBase
amazon aurora Amazon Aurora amazon rds Amazon RDS dynamodb DynamoDB
Streaming Events and messaging
kafka Kafka ibm IBM MQ tibco TIBCO rabbitmq RabbitMQ
amazon msk Amazon MSK amazon kinesis Kinesis spark Spark

Tooling on AWSAWS DMS and SCT for databases, AWS Glue and dbt for pipelines, SnowConvert AI for Snowflake targets

Source stacks shown are the most common. If yours is not listed it is almost certainly still migratable. Ask us.

Your stack is not on the list?

Send the source and the target you have in mind. A data migration consultant replies within one business day with the landing zone and the first risks.

Ask a consultant

Insights

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Rows of server racks in a data center with purple-lit screens displaying code, extending into the distance.

Blog

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Cloud Data Migration & Modernization Cloud Migration Cloud Modernization
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FAQ

What tools are used for cloud data migration?

Cloud-native services (AWS DMS and SCT, Azure Data Factory and Database Migration Service, Google Database Migration Service) with automated assessment tooling for dependency analysis, plus Databricks, Snowflake and dbt for modernization. The set is chosen to fit your source stack, not a fixed toolkit.

What types of data can be migrated to the cloud?

Structured databases, data warehouses, data lakes, semi-structured and unstructured files, BI models and the ETL pipelines that connect them, including licensed engines such as Oracle and SQL Server and open-source stores such as PostgreSQL and MongoDB.

Is cloud data migration secure?

Data is encrypted in transit and at rest, access is role-based, and migrations run inside your cloud account under your controls. Our practices are SOC 2 Type 2 and ISO 27001 audited.

What challenges are associated with cloud data migration?

Undocumented dependencies, schema drift, downtime windows and cost surprises. The assessment exists to surface these before commitment, which is why we never start with a big-bang migration.

How is data integrity ensured during migration?

Row counts, checksums and reconciliation reports validate every dataset; parallel-run periods compare old and new outputs on live workloads before anything is decommissioned.

Can large-scale data be migrated without downtime?

In most cases yes: change-data-capture replication keeps source and target in sync while workloads move in phases, and the final cutover takes minutes rather than days. Where a window is unavoidable, it is scheduled and rehearsed.

What does a cloud data migration cost?

The assessment is fixed at $10,000, the design and proof of concept from $25,000, the pilot from $80,000. Each phase fixes the scope and price of the next, so there is no open-ended estimate. See the offers.

Question not answered? Ask a data migration consultant. Same-day reply on feasibility questions.

Cloud Data Migration & Modernization Services

Legacy data systems slow business growth, increase infrastructure costs, and limit access to critical insights. Many organizations still rely on outdated databases, fragmented storage environments, and on-prem infrastructure that cannot support modern analytics, AI workloads, or scalable cloud applications.

At Dedicatted, we help businesses modernize legacy data infrastructure and migrate workloads to secure, scalable cloud-native platforms. Our cloud data migration services improve performance, reduce operational complexity, and prepare organizations for long-term digital transformation.

Modern cloud data migration is not just about transferring information from one environment to another. It is about building flexible, high-performance systems that support faster decision-making, automation, and continuous innovation.

Cloud Data Migration Services

Our engineers help organizations migrate, optimize, and modernize data environments across leading cloud platforms, including:

  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud Platform

We provide:

  • Legacy database migration
  • Cloud-native data architecture
  • Data warehouse modernization
  • Real-time data pipeline implementation
  • Hybrid and multi-cloud migration
  • Cloud storage optimization
  • Data security and compliance
  • Infrastructure automation

Cloud migration frameworks help organizations reduce downtime, improve scalability, and modernize business-critical systems securely.

Modernize Legacy Data Infrastructure

Outdated infrastructure often creates operational bottlenecks and technical debt.

Our cloud-native modernization services help businesses:

  • Eliminate data silos
  • Improve system performance
  • Increase infrastructure scalability
  • Reduce maintenance costs
  • Strengthen disaster recovery
  • Enable advanced analytics and AI initiatives

We modernize monolithic systems using cloud-native architectures, Kubernetes, Infrastructure as Code (IaC), and automated DevOps workflows to improve long-term operational efficiency.

Modern cloud-native environments also improve resilience, observability, and deployment flexibility for enterprise applications.

Secure & Scalable Cloud Migration

Data security and operational continuity are critical during cloud migration projects.

Our migration process includes:

  1. Infrastructure and dependency assessment
  2. Migration strategy and architecture planning
  3. Automated migration and validation
  4. Performance optimization and monitoring
  5. Continuous cloud support and cost optimization

We use automation, CI/CD practices, and cloud observability tools to minimize operational disruption and improve migration reliability. Modern cloud migration platforms increasingly rely on automation and continuous monitoring to reduce risk and improve scalability.

Why Businesses Choose Dedicatted

Organizations choose Dedicatted for cloud data migration and modernization because we combine cloud engineering expertise, DevOps automation, and enterprise infrastructure modernization in one service model.

Our team delivers:

  • Cloud-native architecture expertise
  • Enterprise migration strategy
  • DevOps and Kubernetes implementation
  • Multi-cloud optimization
  • Infrastructure automation
  • Continuous cloud support

We help businesses transform outdated data systems into scalable cloud platforms built for analytics, AI, automation, and future growth.

Get started with a data migration consultant

Tell us what data you are moving and where it is stuck. Our team responds within one business day with relevant experience and initial technical insights.


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