Analytics & AI
Data lake, data warehouse, lakehouse architecture, and machine learning data storage in Silo.
Silo is more than operational storage — it is an analytics-ready data platform, so the data your business generates is also the data your business learns from.
Data lake
Land raw data of any shape — structured, semi-structured, or unstructured — in the data lake, keeping full-fidelity history available for future analysis without deciding its schema up front.
Data warehouse
Structured, query-optimized storage for analytics and reporting — the place where business questions get answered fast over curated data.
Lakehouse architecture
Silo combines both models in a lakehouse architecture: the flexibility of a lake with the performance and structure of a warehouse, without maintaining two disconnected systems and the pipelines between them.
Machine learning & AI data storage
Datasets for machine learning and AI live on the same platform as the operational data they derive from. This is the foundation the ecosystem's AI features build on — such as AI conversation summaries in Cables and AI-powered supplier discovery in Sharp-Marketplace.
Analytics-ready by design
Because every Sharp app stores its data on Silo, organization-wide analytics doesn't require export-and-import gymnastics — hospitality operations, accounting, HR, and CRM data are already on one platform, ready to analyze.