Platform Migrations
Done Right
Structured migration processes with risk assessment built in. Designed to preserve SEO, content, and integrations.
WordPress to Next.js
Migrating from WordPress to Next.js is appropriate when WordPress's server-rendered architecture conflicts with Next.js's static generation and edge delivery advantages. The primary risks are SEO regression, content model mismatch, and plugin dependency loss, which can be eliminated with a structured migration process that enforces URL parity, maps content models before build, and deploys incrementally.
Shopify to Headless Commerce
Migrating from Shopify to a headless commerce architecture is appropriate when Shopify's theme-based frontend conflicts with headless's custom storefront and multi-channel delivery advantages. The primary risks are checkout flow disruption, payment integration complexity, and inventory synchronization failure, which can be eliminated with a structured migration process that preserves Shopify as the commerce backend while deploying a custom frontend incrementally.
Drupal to Next.js
Migrating from Drupal to Next.js is appropriate when Drupal's server-rendered PHP architecture conflicts with Next.js's static generation and component-based frontend advantages. The primary risks are content model complexity loss, paragraph system re-implementation, and permission structure translation, which can be eliminated with a structured migration process that maps Drupal's entity architecture to structured CMS schemas before building the frontend.
Legacy Systems to Modern Architecture
Migrating from legacy systems to modern architecture is appropriate when maintenance costs, integration constraints, or talent scarcity conflict with modern composable architecture's operational efficiency and extensibility advantages. The primary risks are undocumented business logic loss, data format incompatibility, and operational disruption, which can be eliminated with a strangler fig migration pattern that wraps legacy systems in APIs and replaces functionality incrementally.
Salesforce to AI-Native CRM
Migrating from Salesforce to an AI-native CRM architecture is appropriate when Salesforce's per-seat licensing costs, customization constraints, and closed ecosystem conflict with AI-native's composable integration, usage-based pricing, and agent-orchestrated workflow advantages. The primary risks are business process disruption, data model translation loss, and integration dependency breakage, which can be eliminated with a structured migration process that extracts Salesforce's object model, rebuilds automations as agent workflows, and runs both systems in parallel until parity is verified.
SAP to Modern ERP
Migrating from SAP to a modern ERP architecture is appropriate when SAP's licensing complexity, upgrade costs, and monolithic customization model conflict with modern ERP's modular architecture, API-first integration, and AI-augmented process automation advantages. The primary risks are business process disruption, custom ABAP code translation, and master data integrity loss, which can be eliminated with a domain-by-domain migration that wraps SAP in an API facade, migrates modules incrementally, and maintains SAP as the system of record until each domain is fully validated.
AWS to Google Cloud Platform
Migrating from AWS to Google Cloud Platform is appropriate when AWS's service pricing, networking model, or data analytics capabilities conflict with GCP's sustained-use pricing, global network architecture, and BigQuery-native analytics advantages. The primary risks are service mapping gaps, networking reconfiguration, and IAM policy translation, which can be eliminated with a structured migration process that maps AWS services to GCP equivalents, migrates workloads incrementally by tier, and maintains multi-cloud connectivity until full cutover.
Snowflake to BigQuery
Migrating from Snowflake to BigQuery is appropriate when Snowflake's compute-warehouse pricing model, cluster management overhead, or multi-cloud analytics strategy conflicts with BigQuery's serverless architecture, per-query pricing, and native GCP integration advantages. The primary risks are SQL dialect differences, stored procedure translation, and data pipeline reconfiguration, which can be eliminated with a structured migration process that translates schemas and queries systematically, validates with historical query result comparison, and runs both systems in parallel during transition.
SOAP APIs to MCP Servers
Migrating from SOAP APIs to MCP (Model Context Protocol) servers is appropriate when SOAP's XML verbosity, WSDL complexity, and toolkit dependency conflict with MCP's semantic tool discovery, LLM-native invocation, and structured I/O advantages. The primary risks are WSDL-to-tool mapping loss, XML schema translation, and SOAP-specific security model differences, which can be eliminated with a structured migration process that parses WSDL definitions into MCP tool manifests, preserves operation semantics as tool descriptions, and wraps existing SOAP endpoints during transition.
Magento to Shopify
Migrating from Magento to Shopify is appropriate when Magento's self-hosted infrastructure burden, upgrade complexity, and PHP customization overhead conflict with Shopify's managed platform, app ecosystem, and operational simplicity advantages. The primary risks are custom module functionality loss, complex product data restructuring, and SEO ranking disruption, which can be eliminated with a structured migration process that maps Magento's EAV data model to Shopify's product schema, replaces custom modules with Shopify apps or custom integrations, and deploys incrementally with full URL redirect coverage.
WooCommerce to Shopify
Migrating from WooCommerce to Shopify is appropriate when WooCommerce's WordPress dependency, plugin maintenance burden, and self-hosted security responsibility conflict with Shopify's managed infrastructure, integrated commerce features, and operational simplicity advantages. The primary risks are plugin functionality replacement, product variation restructuring, and WordPress content separation, which can be eliminated with a structured migration process that audits all WooCommerce plugins, maps WordPress+WooCommerce content to Shopify's native structures, and maintains the WordPress site for non-commerce content during transition.
BigCommerce to Headless Commerce
Migrating from BigCommerce to a headless commerce architecture is appropriate when BigCommerce's Stencil theme engine, storefront customization constraints, and single-channel frontend conflict with headless commerce's custom storefront control, multi-channel delivery, and composable architecture advantages. The primary risks are checkout flow re-implementation, native app functionality loss, and catalog data synchronization complexity, which can be eliminated with a structured migration process that retains BigCommerce as the commerce backend via its APIs while deploying a custom frontend incrementally.
PrestaShop to Shopify
Migrating from PrestaShop to Shopify is appropriate when PrestaShop's self-hosted PHP infrastructure, module maintenance burden, and limited scalability conflict with Shopify's managed platform, integrated payment processing, and global commerce infrastructure advantages. The primary risks are module functionality replacement, product combination restructuring, and multi-language storefront re-implementation, which can be eliminated with a structured migration process that maps PrestaShop's data model to Shopify's schema, replaces modules with Shopify apps, and preserves all URL redirects and multilingual content during transition.
WordPress to Webflow
Migrating from WordPress to Webflow replaces a plugin-dependent PHP CMS with a visual-first design platform that merges content management and responsive design into a single interface. This path is strongest for marketing teams and design agencies who spend more time fighting theme conflicts than publishing content, though it requires accepting Webflow's more constrained programming model in exchange for dramatically faster visual iteration.
WordPress to Astro
Migrating from WordPress to Astro replaces a monolithic PHP CMS with a modern static-site generator that ships zero JavaScript by default and uses an island architecture to add interactivity only where needed. This migration is ideal for content-heavy sites like blogs, documentation portals, and marketing sites where WordPress's dynamic rendering overhead and plugin complexity have become liabilities against the site's fundamentally static content model.
Squarespace to Next.js
Migrating from Squarespace to Next.js replaces a closed-platform website builder with a full-stack React framework that gives engineering teams complete control over every aspect of their web application. This path is most justified when Squarespace's template constraints, API limitations, and closed ecosystem have become the primary bottleneck preventing the business from building differentiated digital experiences that competitors cannot replicate with the same drag-and-drop tools.
HubSpot CMS to Headless (Next.js + Headless CMS)
Migrating from HubSpot CMS to a headless architecture with Next.js and a dedicated headless CMS decouples your website from HubSpot's proprietary template engine while preserving the CRM and marketing automation integrations that make HubSpot valuable. This migration is warranted when HubL template limitations, restricted JavaScript capabilities, and the inability to use modern frontend frameworks have made your website the weakest link in an otherwise strong HubSpot marketing stack.
Azure to Google Cloud Platform
Migrating from Azure to GCP requires methodical translation of Azure's resource model into GCP equivalents, with particular attention to identity federation, networking topology differences, and managed service parity. The migration is most successful when teams adopt GCP-native patterns rather than attempting one-to-one resource mapping, especially for Kubernetes workloads where GKE offers a more tightly integrated experience than AKS.
Azure to AWS
Azure-to-AWS represents the largest cloud-to-cloud migration path by market share, requiring systematic translation of Azure's resource management model, identity fabric, and managed services into AWS equivalents. Success depends on treating this as a platform re-architecture rather than a lift-and-shift, particularly for identity management where Azure AD's deep integration with Microsoft services must be replaced by a combination of AWS IAM Identity Center, Cognito, and AWS Organizations.
Heroku to AWS
Migrating from Heroku to AWS trades PaaS simplicity for IaaS flexibility, requiring teams to take ownership of infrastructure concerns that Heroku previously abstracted—including container orchestration, database administration, SSL certificate management, and deployment pipelines. The migration is justified when Heroku's dyno-based scaling model, add-on cost premiums, or platform constraints become limiting factors, but teams must budget for significant operational maturity investment.
Amazon Redshift to Google BigQuery
Migrating from Amazon Redshift to Google BigQuery replaces a provisioned-cluster columnar warehouse with a serverless, separation-of-storage-and-compute engine. The migration requires translating Redshift's PostgreSQL-derived SQL dialect to BigQuery Standard SQL, replacing COPY-based ingestion with BigQuery load jobs or Storage Write API, and converting distribution and sort key strategies into BigQuery partitioning and clustering schemes.
Oracle Database to PostgreSQL
Migrating from Oracle Database to PostgreSQL replaces a proprietary RDBMS with the most advanced open-source relational database, eliminating license costs that often represent the largest single IT expenditure. The migration requires systematic conversion of PL/SQL to PL/pgSQL, careful data type mapping from Oracle-specific types, and replacement of Oracle-specific features like synonyms, database links, and Real Application Clusters with PostgreSQL equivalents.
SQL Server to PostgreSQL
Migrating from SQL Server to PostgreSQL eliminates Microsoft licensing costs while moving to a database with superior extensibility, JSON support, and cross-platform compatibility. The migration requires converting T-SQL to PL/pgSQL, replacing SQL Server ecosystem tools like SSIS, SSRS, and SQL Server Agent with open-source alternatives, and adapting Windows-integrated authentication to PostgreSQL's authentication framework.
HubSpot to AI-Native CRM
Migrating from HubSpot to an AI-native CRM replaces a workflow-driven platform with one built around predictive intelligence, automated data capture, and conversation-aware relationship management. This migration is most impactful for teams whose sales processes have outgrown HubSpot's rule-based automation and who need CRM intelligence that adapts without manual configuration.
Zendesk to Intercom
Migrating from Zendesk to Intercom shifts customer support from a ticket-centric model to a conversation-first platform that unifies messaging, help center content, and proactive outreach in a single interface. This migration is best suited for teams that want tighter coupling between support, product engagement, and customer communication rather than treating support as an isolated ticketing function.
Jira to Linear
Migrating from Jira to Linear replaces a highly configurable but often over-customized project management platform with an opinionated, keyboard-driven tool designed for fast-moving software teams. This migration succeeds when teams are willing to simplify their workflows to match Linear's streamlined model rather than attempting to replicate Jira's full configuration complexity.
Oracle ERP (E-Business Suite / JD Edwards) to Modern ERP (NetSuite / Workday)
Migrating from Oracle E-Business Suite or JD Edwards to a modern cloud ERP like NetSuite or Workday is a multi-year transformation that touches every financial, operational, and reporting process in the organization. This migration requires module-by-module planning, extensive master data cleansing, RICE object re-implementation, and continuous attention to audit trail preservation to maintain regulatory compliance throughout the transition.
REST API to Model Context Protocol (MCP)
Migrating from REST to MCP transforms endpoint-oriented HTTP resources into discrete tools that AI agents and LLMs can discover and invoke via JSON-RPC. The OpenAPI specification serves as the primary migration input, enabling automated mapping of endpoints to MCP tools while preserving authentication, validation, and response schemas.
GraphQL to Model Context Protocol (MCP)
Migrating from GraphQL to MCP converts a query-driven API with client-specified response shapes into a set of self-describing tools that AI agents invoke via JSON-RPC. GraphQL's strong type system and schema introspection provide an excellent foundation for generating MCP tool schemas, but the paradigm shift from flexible queries to fixed tool interfaces requires careful redesign of data access patterns.
gRPC to Model Context Protocol (MCP)
Migrating from gRPC to MCP converts strongly-typed protobuf service definitions into JSON-RPC-based MCP tools that AI agents can discover and invoke without compiled client stubs. The proto files serve as the primary migration input, with protobuf message types converting to JSON Schema and service methods mapping to MCP tools.
Migration Comparisons
Decision-stage analysis for teams evaluating platform changes.
WordPress vs Next.js
For sites with 500+ pages and significant traffic, scalability, security, and total cost of ownership become material.
Read analysisHeadless vs Traditional CMS
Moving to headless decouples your frontend from your CMS.
Read analysisShopify vs Headless Commerce
For stores processing 500+ orders per day or requiring multi-channel storefronts, the architectural tradeoffs between Shopify themes and headless commerce become material.
Read analysisDrupal vs Next.js
For enterprise content platforms with complex content models, editorial workflows, and multilingual requirements, the architectural differences between Drupal and Next.js determine migration feasibility and risk.
Read analysisSalesforce vs AI-Native CRM
For organizations spending $100K+ annually on Salesforce licensing, the cost-benefit analysis of migrating to an AI-native CRM architecture requires comparing platform capabilities, customization models, and total cost of ownership.
Read analysisSAP vs Modern ERP
For organizations facing SAP S/4HANA migration mandates or escalating total cost of ownership, comparing SAP's integrated suite against modern modular ERP architecture reveals the tradeoffs that drive the decision.
Read analysisAWS vs Google Cloud Platform
For organizations evaluating cloud migration or multi-cloud strategy, the architectural and pricing differences between AWS and GCP determine which workloads benefit from which platform.
Read analysisSnowflake vs BigQuery
For data teams evaluating cloud data warehouse platforms, the architectural differences between Snowflake's compute-warehouse model and BigQuery's serverless model determine cost, operational overhead, and analytical capability.
Read analysisSOAP APIs vs MCP Servers
For organizations with SOAP-based service architectures, the shift to MCP (Model Context Protocol) represents a fundamental change in how APIs are discovered, described, and consumed — particularly by AI agents.
Read analysisLegacy vs Modern Architecture
For organizations where legacy system maintenance consumes a disproportionate share of IT budget, comparing legacy constraints against modern architecture capabilities reveals whether migration delivers positive ROI.
Read analysisWordPress vs Webflow
For marketing teams and agencies managing content-heavy sites, the tradeoffs between WordPress's plugin ecosystem and Webflow's visual-first design platform determine which tool better serves the team's workflow and technical capacity.
Read analysisWordPress vs Astro
For content-heavy sites where performance is a primary concern, Astro's zero-JavaScript-by-default architecture and island hydration model offer a fundamentally different approach from WordPress's server-rendered PHP pages.
Read analysisSquarespace vs Next.js
For growing businesses that have outgrown Squarespace's template constraints, moving to Next.js unlocks full design and functionality control — but introduces development complexity that must be weighed against the simplicity being left behind.
Read analysisHubSpot CMS vs Headless CMS
For marketing teams evaluating whether HubSpot's integrated CMS-plus-CRM platform still serves their needs, comparing it against a headless CMS architecture reveals where integration convenience ends and architectural flexibility begins.
Read analysisMagento vs Shopify
For e-commerce businesses running Magento (Adobe Commerce) and facing escalating infrastructure and development costs, comparing Magento's enterprise flexibility against Shopify's managed simplicity reveals which tradeoffs drive the migration decision.
Read analysisWooCommerce vs Shopify
For store owners managing WooCommerce on WordPress and spending increasing time on hosting, plugin updates, and performance optimization, comparing WooCommerce's open flexibility against Shopify's managed reliability clarifies when the migration tradeoff is worthwhile.
Read analysisBigCommerce vs Headless Commerce
For merchants on BigCommerce evaluating whether to decouple their storefront, the tradeoffs between BigCommerce's built-in storefront and a headless architecture determine whether the complexity premium delivers measurable business value.
Read analysisAzure vs Google Cloud Platform
For organizations evaluating cloud migration from Azure or considering multi-cloud strategy, the differences between Azure's enterprise integration model and GCP's data-and-AI-first architecture determine which platform better serves specific workload profiles.
Read analysisAzure vs AWS
For organizations considering a move from Azure to AWS or evaluating both platforms, the architectural philosophies — Azure's enterprise-integrated approach versus AWS's service-breadth-first model — determine which platform better serves specific organizational profiles.
Read analysisAmazon Redshift vs BigQuery
For data teams managing Redshift clusters and evaluating whether BigQuery's serverless model better fits their analytics workload, the architectural differences between provisioned clusters and on-demand compute determine cost efficiency, operational overhead, and analytical agility.
Read analysisJira vs Linear
For engineering teams where Jira's configuration complexity has become overhead rather than value, comparing Jira's enterprise workflow engine against Linear's opinionated speed-first approach reveals which tradeoffs matter for different team structures.
Read analysisREST APIs vs MCP Servers
For organizations with existing REST APIs evaluating how to make their services consumable by AI agents and LLMs, the Model Context Protocol offers a purpose-built alternative that changes how APIs are discovered, described, and invoked.
Read analysisHeroku vs AWS
For teams outgrowing Heroku's managed platform or hitting cost ceilings at scale, AWS offers granular control at the expense of operational complexity.
Read analysisOracle Database vs PostgreSQL
For organizations evaluating whether to leave Oracle's ecosystem, PostgreSQL offers a mature open-source alternative with zero licensing costs.
Read analysisSQL Server vs PostgreSQL
For organizations reconsidering their database platform, PostgreSQL offers an open-source alternative to SQL Server with strong feature parity and zero licensing constraints.
Read analysisHubSpot vs AI-Native CRM
As AI-native CRM platforms emerge to challenge established players, organizations are evaluating whether rule-based automation and manual data entry have reached their limits.
Read analysisZendesk vs Intercom
For support teams evaluating whether to move from ticket-based to conversation-based customer support, the architectural differences between Zendesk and Intercom shape team workflows, customer experience, and cost.
Read analysisOracle ERP vs Modern ERP
For enterprises running Oracle E-Business Suite, JD Edwards, or PeopleSoft, the question of migrating to a modern cloud-native ERP platform involves massive organizational change.
Read analysisGraphQL vs MCP
For organizations with GraphQL APIs evaluating how to make their services consumable by AI agents, MCP offers a purpose-built protocol for machine-driven interaction.
Read analysisgRPC vs MCP
For organizations with gRPC service meshes evaluating how to expose capabilities to AI agents, MCP offers a fundamentally different approach to service interaction.
Read analysisPrestaShop vs Shopify
For merchants running PrestaShop stores who are considering a managed platform, Shopify offers operational simplicity at the cost of customization depth.
Read analysisWhen to Migrate
Concrete indicators that your current platform has outgrown its limits.
When WordPress Stops Scaling
6 warning signs to watch for.
Read indicatorsWhen Shopify Themes Stop Scaling
5 warning signs to watch for.
Read indicatorsWhen Drupal Stops Scaling
5 warning signs to watch for.
Read indicatorsWhen Salesforce Becomes a Constraint
6 warning signs to watch for.
Read indicatorsWhen SAP Becomes Too Expensive to Maintain
5 warning signs to watch for.
Read indicatorsWhen AWS Costs Exceed Value
5 warning signs to watch for.
Read indicatorsWhen Snowflake Credits Become Unpredictable
4 warning signs to watch for.
Read indicatorsWhen SOAP APIs Block Modern Integration
5 warning signs to watch for.
Read indicatorsWhen Legacy Systems Become Unsustainable
5 warning signs to watch for.
Read indicatorsWhen Squarespace Stops Scaling
5 warning signs to watch for.
Read indicatorsWhen HubSpot CMS Stops Scaling
5 warning signs to watch for.
Read indicatorsWhen Magento Stops Scaling
6 warning signs to watch for.
Read indicatorsWhen WooCommerce Stops Scaling
5 warning signs to watch for.
Read indicatorsWhen BigCommerce Stops Scaling
5 warning signs to watch for.
Read indicatorsWhen Azure Costs Exceed Value
5 warning signs to watch for.
Read indicatorsWhen Heroku Stops Scaling
5 warning signs to watch for.
Read indicatorsWhen Redshift Costs Exceed Value
5 warning signs to watch for.
Read indicatorsWhen Oracle Database Becomes Too Expensive
6 warning signs to watch for.
Read indicatorsWhen Jira Stops Scaling
5 warning signs to watch for.
Read indicatorsWhen HubSpot CRM Stops Scaling
6 warning signs to watch for.
Read indicatorsWhen PrestaShop Stops Scaling
5 warning signs to watch for.
Read indicatorsWhen SQL Server Becomes Too Expensive
5 warning signs to watch for.
Read indicatorsWhen Zendesk Stops Scaling
5 warning signs to watch for.
Read indicatorsWhen Oracle ERP Becomes Too Expensive to Maintain
5 warning signs to watch for.
Read indicatorsWhen REST APIs Block AI Integration
5 warning signs to watch for.
Read indicatorsWhen GraphQL Becomes a Barrier for AI Agents
5 warning signs to watch for.
Read indicatorsWhen gRPC Blocks AI Agent Integration
5 warning signs to watch for.
Read indicatorsMigration Skills
AI agent skills that accelerate migration execution. Each skill handles a specific migration task — data extraction, schema mapping, validation, or workflow rebuilding.
Browse Migration SkillsPopular for Migrations
Don't See Your
Migration Path?
We handle migrations across any source and target platform. Tell us what you're working with.
Get a Free Assessment