Case Study: Layers slashes analytics costs and delivers private customer data warehouses with MotherDuck

How Layers Slashed Analytics Costs and Gave Every Customer a Private Data Warehouse

Layers, a company providing on-site product search and analytics for retail brands, faced major challenges with their multi-tenant analytics infrastructure. They needed to serve dashboards with strict latency requirements for each customer but were hampered by high costs, poor performance isolation between tenants, and a vendor pricing change that threatened a 100x cost increase per customer.

By adopting MotherDuck, Layers implemented a per-tenant architecture where each customer gets a private data warehouse. This solution slashed their costs, with small tenants now costing fractions of a penny, and provided full performance isolation. MotherDuck enabled Layers to meet their 110ms latency SLA and unlocked a new freemium tier, all while giving them the flexibility to customize data retention for each customer.

Layers