Best Data Modeling Tools for Cloud

Tatsoft's FrameworX is a complete SCADA and IIoT platform for edge-to-enterprise industrial applications. It unifies operations, data, and AI under one scalable, .NET-based architecture. FrameworX includes AI Designer, built on the Model Context Protocol (MCP). Three MCP servers cover design, operations and runtime, plus an in-process AI agent spine, all released and supported today. AI works directly inside the Designer IDE in real time, configuring tags, alarms, historian, devices, displays, and scripts in one session, and engineers approve every step. Works with any MCP-compatible AI client, including Claude. The platform includes real-time data modeling, historian, alarms, reports, audit trails, scripting in C#, VB.NET, JavaScript, and Python, plus 100+ native drivers for PLCs, DCS, OPC, and MQTT. Deploy anywhere with zero client installs and full web, mobile, and desktop access. 100+ connectors included at no charge.

Domo’s AI and data platform business is now part of Progress Software. Domo's cloud-native AI data readiness platform complements and significantly broadens Progress' data platform offerings, creating powerful synergies to deliver innovative, secure and scalable AI data readiness solutions worldwide. Together, these capabilities will help customers turn fragmented enterprise data and knowledge into governed, AI-ready intelligence, improving the security, governance and cost of AI-powered initiatives. Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI. Domo works with cloud data platforms including Snowflake, BigQuery, and Databricks to turn governed data into AI agents, apps, workflows, dashboards, and analytics. Its data foundation, activation, and distribution layers help teams build and deliver intelligence where work happens, with governance, security, and access controls across data and AI.