Microsoft

Box is an intelligent content-management platform for storing and protecting sensitive data, collaborating internally and externally, and automating workflows on one platform. In the cited context, an agriculture-biotechnology company used Box for storage before moving to Microsoft.

SharePoint is a web-based collaboration and content management platform developed by Microsoft. It provides intranet portals, document management, file storage, team sites and integration with Microsoft 365; it is available as a cloud service (SharePoint Online) and as an on-premises product (SharePoint Server).

Microsoft Azure is an open cloud computing platform and enterprise infrastructure service used to deploy and operate software. It provides infrastructure as a service, virtual machines, databases, containers, serverless computing, Kubernetes, storage, networking, monitoring, security, analytics, and developer tools. Azure also hosts AI-oriented services for models, machine learning, applications, and agents, and connects AI, data, business context, applications, and agents across an enterprise.

Microsoft SQL Server is a relational database management system (RDBMS) developed and maintained by Microsoft. It accepts SQL/T-SQL queries and transactions and produces query results, backups (.bak), exports (CSV, BCP), and data for downstream services; notable capabilities include the T-SQL engine, stored procedures, In-Memory OLTP (Hekaton), columnstore indexes, Temporal Tables, JSON/XML support, PolyBase, and high-availability features such as Always On Availability Groups, replication, and clustering. SQL Server runs on Windows and supported Linux distributions, is offered on-premises and in Azure (including managed variants), and is distributed under commercial licensing with free Developer and Express editions.

Databox is an agentic analytics platform for agencies and teams. It connects data from tools, spreadsheets, databases, and APIs, defines governed metrics through a semantic layer, and combines dashboards, reports, goals, and KPIs with AI analysis. Its AI Analyst answers questions using live data, while agents and automations run recurring analysis and follow-up workflows; its MCP capability grounds AI tools in Databox data and business context. The platform states that data is encrypted and access-controlled and is not used to train AI models.