Migration & Modernization

Engineered by Certified Microsoft Architects.

Azure Database Migration Services.
From on-prem to AI-ready.

As a certified Microsoft partner and with seasoned professionals with knowledge of nearly two decades of database engineering, Sundew is trusted partner for companies and enterprises looking to migrate Oracle, SQL Server, DB2, MySQL, and PostgreSQL workloads to Azure, delivering near-zero downtime, lower TCO, and a built-in path to application and technology modernization.

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Modernize to accelerate, the five strategic costs of legacy database infrastructure.

Storing enterprise data on aging on-premises infrastructure is no longer a cost question. It is a velocity question.

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Climbing license fees
and rising maintenance debt.

Legacy Oracle, Sybase, and on-premises SQL Server estates incur license and support costs that increase with each renewal cycle. Every quarter on legacy infrastructure is a quarter of license fees that Azure Hybrid Benefit and reserved capacity could have converted into predictable, lower spend. The cost of waiting compounds while the platform's value declines.

Data locked away from the
AI capabilities competitors are shipping.

Operational data trapped in legacy databases cannot become the substrate for generative AI, semantic search, or Copilot-grade features. While competitors ship AI-native experiences on modern data platforms, enterprises on legacy databases watch the AI gap widen. The data that could power the next product feature sits behind a database engine that was never designed to feed it.

Security patches lagging
and compliance posture eroding.

Legacy database estates fall behind on security patches, and the compliance posture that satisfied auditors five years ago no longer holds. Every unpatched CVE and every unencrypted column is an audit finding waiting to surface. Modern managed Azure database services ship security patching, encryption, and compliance evidence as platform capabilities, not as manual operational burden.

Lift-and-shift migrations that
just relocate the problems, not solve.

A lift-and-shift migration relocates the same problems to a new address. The monolith runs on Azure at the same cost, with the same fragility and performance ceiling as it did on-premises. The cloud bill goes up, AI readiness never arrives, and the modernization the business needs becomes a second project that never gets funded. Migration without modernization is a smaller bill, not a different business.

Scaling ceilings
that block enterprise growth.

Legacy database estates hit hard scaling ceilings. Vertical scale runs out of headroom, sharding becomes a multi-month project, and geo-replication is a re-architecture rather than a configuration option. Azure SQL Hyperscale, Cosmos DB, and Azure HorizonDB scale from megabytes to petabytes with geo-replication, zone redundancy, and active-active failover as configuration choices, not as engineering programs.

Database Migration Paths

Every source engine has a proven, certified path to Azure. Sundew's database-first heritage means we treat heterogeneous migrations, the hardest kind, as our default. Every path is delivered with continuous data replication, dual-write validation, and a rehearsed cutover plan that targets near-zero downtime. The table below maps the migration paths Sundew delivers, and what we modernize along the way.

From To on Azure Modernized along the way
SQL Server (on-prem) Azure SQL Managed Instance, Azure SQL Database, or SQL Server on Azure VM Always-On AG into zone redundancy, T-SQL refactor, Query Store-driven tuning
Oracle Database Azure Database for PostgreSQL Flexible Server, Azure SQL, or Azure HorizonDB AI-assisted PL/SQL to PL/pgSQL conversion via GitHub Copilot and SSMA; Azure Monitor observability
Sybase ASE / IQ Azure SQL or PostgreSQL; Sybase IQ to Synapse / Microsoft Fabric T-SQL refactor, replication-server replacement, column-store offload to Fabric
IBM DB2 (LUW / z) Azure SQL or Azure Database for PostgreSQL Stored-procedure rewrite, mainframe escape via Azure Data Factory
MySQL / MariaDB Azure Database for MySQL Flexible Server Read replicas, zone-redundant HA, FinOps right-sizing
PostgreSQL (on-prem / EDB) Azure Database for PostgreSQL Flexible Server, Cosmos DB for PostgreSQL, or Azure HorizonDB pgvector, DiskANN indexing, Citus sharding, AI extensions enabled at cutover
MongoDB / Cassandra Azure Cosmos DB Multi-region writes, autoscale RU/s, vector indexing
Files, ETL, EDW Azure Data Lake, Microsoft Fabric, Synapse, Databricks Lakehouse architecture, Delta tables, real-time medallion pipelines, Fabric mirroring

Modernization as a Service

Don't just migrate. Evolve. A lift-and-shift gets you a smaller bill. A modernization-led migration gets you a different business. While Sundew moves your data, we use the migration window to refactor the surrounding stack, so you land on Azure with a platform that is already cloud-native, observable, and AI-ready. This pillar cross-connects with Sundew's Application Engineering practice, which runs the application refactoring workstream in parallel with the database move.

Application Replatforming

Replatform monoliths and stored-procedure-heavy apps onto Azure Kubernetes Service, Azure App Service, or Azure Container Apps. Refactor PL/SQL and T-SQL business logic into discrete services via Azure API Management and Azure Functions.

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Data API Enablement

API-fy legacy data with secure, throttled, OpenAPI-described endpoints that make your data consumable by partners, product teams, and AI agents through the Model Context Protocol.

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Real-Time Analytics Tier

Build a real-time analytics tier on Microsoft Fabric, Synapse, or Databricks, replacing nightly batch jobs with sub-second medallion pipelines and Fabric mirroring of operational data into OneLake.

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DevSecOps from Day One

Bake in DevSecOps with Azure DevOps, GitHub Advanced Security, Bicep and Terraform infrastructure-as-code, and policy-as-code, engineered into the platform from the first commit.

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The Five-Stage Migration Framework

Sundew's automated, accelerator-driven migration framework compresses the timeline against a traditional lift-and-shift program by up to 65 percent. Five stages, each with the tooling and the senior engineering discipline that turns a risky cutover into a rehearsed, evidence-backed event.

01 Assess

Discovery using Azure Migrate, Database Migration Assessment (DMA), and Sundew's portfolio-scoring model. Every database, schema, dependency, and SLA is mapped, with technical debt quantified against business value.

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02 Architect

A target-state landing zone aligned to the Microsoft Cloud Adoption Framework and Well-Architected pillars. Hub-and-spoke networking, Private Endpoints, Microsoft Entra ID, Key Vault-managed secrets, and zone-redundant tiers by default.

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03 Migrate

Azure Database Migration Service, Azure Data Factory, native log shipping, SSMA, and AI-assisted conversion, orchestrated under change data capture for online cutover. Dual-running validation eliminates the did-we-lose-a-row anxiety.

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04 Modernize

Application refactor, schema modernization, AI and vector enablement, and analytics-tier build-out, executed in parallel with the move, not deferred to a second project.

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05 Optimize

Post-go-live FinOps review, query tuning, autoscale calibration, and observability with Azure Monitor, Log Analytics, and Application Insights. Optional 24x7 managed services if you want Sundew to run it for you.

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AI-Ready Data Platform

The reason to modernize in 2026 is not just cost. It is AI-readiness. Sundew engineers every Azure database migration so that operational data becomes the substrate for generative AI, semantic search, and agentic workflows the quarter after cutover. This is where database migration meets Sundew's Data, Analytics, and AI practice, and where the migration window becomes the on-ramp to the AI-native enterprise.

Native Vector Search

pgvector and Microsoft's DiskANN vector indexing enabled at cutover, delivering up to 3x faster vector search than traditional pgvector indexes, with advanced filtering for retrieval-augmented generation.

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Azure OpenAI and Copilot Integration

Operational data connected directly to Azure OpenAI Service, Azure AI Search, and Microsoft Copilot Studio agents, so AI features are built on live enterprise data, not on stale exports.

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Azure HorizonDB Readiness

For AI-native applications and large-scale migrations, Sundew architects on Azure HorizonDB, Microsoft's PostgreSQL-compatible database purpose-built for AI workloads, with native Fabric mirroring and sub-millisecond latency.

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Fabric Mirroring and OneLake

Near-real-time replication of operational data into Microsoft Fabric OneLake, so analytics and AI run on current data without complex ETL pipelines standing between the data and the decision.

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Managed Data Services

The team that migrated it can run it. After go-live, Sundew offers optional 24x7 managed Azure data services, so the engineers who understand your estate keep it performant, secure, and cost-optimized. No handoff to a separate operations vendor who has to relearn the environment. This pillar cross-connects with Sundew's Cloud Infra, FinOps, and Cybersecurity and Privacy practices to form a comprehensive managed operations foundation.

Performance and Query Tuning

Ongoing query optimization, index management, and autoscale calibration to keep the estate performant as workloads grow and change.

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FinOps and Cost Governance

Continuous cost review, reserved-capacity planning, and rightsizing so the Azure database bill stays defensible to the CFO quarter after quarter.

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Security and Patch Management

Automated patching, backup verification, vulnerability management, and Defender for Cloud monitoring, so the security posture never drifts after go-live.

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On-Call DBA Support

24x7 database administration across Azure SQL, PostgreSQL, MySQL, Cosmos DB, and Synapse or Fabric, under a single SLA with defined response times.

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Who Sundew Builds For

Mid-market and enterprise organizations where the database is business-critical and the migration cannot afford to fail.

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  • 01

    Healthcare
    and life sciences.

    HIPAA-regulated database estates moving to fully managed Azure PaaS with always-encrypted columns, Private Endpoints, and zone redundancy.

  • 02

    Financial services
    and insurance.

    Regulated data workloads requiring SOC 2, PCI-DSS, and audit-defensible compliance, migrated with near-zero downtime and full evidence trails.

  • 03

    Manufacturing
    and industrials.

    End-of-vendor-support Sybase and legacy estates powering shop-floor and ERP systems, retired through phased zero-downtime cutover.

  • 04

    Retail and
    e-commerce.

    PostgreSQL and SQL estates modernized to real-time medallion pipelines and Copilot-driven merchandising insights, scaled for peak traffic.

  • 05

    SaaS and ISV
    product companies.

    MySQL and PostgreSQL platforms migrated to multi-region managed services with a 99.99 percent SLA at a fraction of prior infrastructure cost.

  • 06

    Nordic and
    EU enterprises.

    Data-sovereignty-conscious enterprises requiring EU Data Boundary residency, GDPR alignment, and customer-managed keys in Azure Key Vault.

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Azure Database
migration paths we deliver.

Sundew is a database-first solutions company. Our consultants have spent more than 20 years working inside SQL engines, which is why heterogeneous database migrations,are our default mode.

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Why a certified Microsoft partner and
a human pilot still matters.

Enterprise-Scale
Discovery

Enterprise-Scale
Discovery

Automated tools inventory schemas, but cannot infer business intent. Sundew architects translate the report finance lives by into the constraints that govern your migration order and wave sequencing.

Heterogeneous
Middleware Expertise

Heterogeneous
Middleware Expertise

Cross-engine cutovers create dead zones where systems lose sync. Sundew engineers build change feeds, idempotent consumers, and reconciliation jobs to keep both estates in lockstep until go-live.

Evidence-Based
Validation

Evidence-Based
Validation

Automation is fast and sometimes confidently wrong. Sundew runs row-count, checksum, and statistical distribution checks at every phase, so you sign off on cutover with evidence, not vibes.

Certified
Microsoft Partner

Certified
Microsoft Partner

Microsoft Solutions Partner for Data and AI and Digital and App Innovation on Azure, with verified enterprise-scale deployments and current engineer certifications across the Azure database stack

Productized
Migration Factory

Productized
Migration Factory

Reusable accelerators and AI-assisted conversion tooling cut time-to-cutover by up to 65 percent, delivered under a fixed-fee assessment and a fixed-scope migration package.

Database migration
connects across the Sundew practice.

Sundew's Azure Database Migration and Modernization practice cross-connects with the sibling capabilities that turn a database migration into a full enterprise transformation. Cloud Strategy and Advisory frames the landing zone and adoption roadmap into which the migration lands.

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