Retail | Database Migration Services

Wayfair expedites feature deployment 

Wayfair bypassed years of modernization effort by leveraging Google’s AI ecosystem to enhance their global customer experience. With Google Cloud, Wayfair can deploy features for their eCommerce business faster than ever.

Wayfair increased speed to market with faster feature deployment and fraud reduction 

Pythian accelerated decades of database modernization work—converting code from SQL Server to CloudSQL with AI in a matter of months.

Wayfair faced significant technical debt from a monolithic MS SQL architecture that delayed critical feature rollouts for customers and suppliers. They turned to Pythian to augment their engineering teams and leverage specialized expertise in cloud-native tools and generative AI. Pythian delivered an automated migration framework that transitioned legacy data to Google Cloud SQL and PostgreSQL. This solution unlocked millions in operational savings and empowered Wayfair to deploy new customer features in days rather than years.

FINANCIAL IMPACT

Rising database costs

The mounting costs of maintaining Microsoft SQL Server environments limited the budget available for eCommerce innovation and growth. Wayfair needed to scale their infrastructure to meet the demands of 30 million products across hundreds of global suppliers.

GROWTH CONSTRAINTS

Technical debt held back innovation

Organic growth resulted in complex, interrelated databases with little to no structure. Wayfair’s organic growth created a tangled web of legacy databases that hindered their ability to provide personalized customer experiences.

ENGINEERING STRAIN

Time to market delayed by development

Engineering teams were trapped in manual maintenance cycles, causing new feature releases to take months or even years to reach production.

AI-powered Google Cloud migration

Pythian used AI code conversion tooling to shift from a monolithic Microsoft (MS) SQL environment to a modern, agile microservices approach. 

Automated database modernization

Pythian developed a custom toolkit using Vertex AI to automate code generation, drastically reducing manual migration effort. 

Pythian leveraged the Gemini API in Vertex AI to build an innovative toolkit that converted nearly five decades of legacy SQL logic in under six months. This automation removed thousands of hours of manual labor, allowing Wayfair to bypass years of modernization effort and move directly into Google’s AI ecosystem.

Modernization strategy

Pythian’s experts provided the architectural blueprint and execution power to migrate petabytes of data without disrupting engineering workflows. We established a robust data foundation for Wayfair’s modernized cloud-native environments to accelerate innovation using Google Cloud’s ecosystem of AI.

Migrated data to CloudSQL for PostgreSQL

Pythian migrated high-value customer data from legacy MS SQL to Cloud SQL for PostgreSQL. By augmenting Wayfair’s thinly spread team, Pythian ensured petabytes of data were transitioned smoothly while maintaining the integrity of 30 million product listings.

We implemented a database-as-a-service platform allowing Wayfair developers to provision instances independently, boosting overall velocity.

Innovation at scale

Since migrating to Google Cloud, Wayfair has leveraged Google Cloud’s ecosystem to drive further operational efficiency and innovation at scale with AI.

Wayfair accelerated speed to market, while saving millions

Wayfair reallocated millions toward immediate eCommerce innovation and growth.

Re-platforming customer traffic led to immediate performance gains, significantly improving the shopping experience for millions of users. Modernized data tools enabled more sophisticated security protocols, directly lowering the company's risk profile and financial loss.

$8M+

Operational savings, reallocating budget toward innovation

82%

Reduction in incidents with better data reliability

30M+

Customers satisfied with faster browsing speed

Wayfair has thousands of SQL applications and petabytes of data across our architecture. As we thought about modernization and leveraging Google Cloud, we relied on Pythian to be the experts on how to do it from an architectural perspective and then execute with our data team in actually getting it done.
Matthew Ferrari

Head of Martech, Data and Machine Learning Platforms, and Infrastructure, Wayfair

Leverage AI to convert code fastermodernize with confidence.

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Pythian is a Google Cloud Premier Partner.