Staying competitive means making trustworthy, transformed data available across your systems while it’s still fresh. But traditional tools force painful trade-offs: OLTP databases can’t support complex analytical queries, data warehouses lack the freshness and cost-efficiency required for online services, and streaming systems are brittle and operationally complex. To make matters worse, budget constraints make it increasingly difficult to keep pace with the growing demands on your team.
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Materialize uses SQL to define views over complex transformations of live data from across your organization—without compromising trust. These views power real-time, composable data products that dramatically reduce the cost and effort required to support operational use cases. Materialize runs anywhere your infrastructure does.
Materialize customers in manufacturing and logistics use the platform to build digital twins of key elements of their operations—from supply chains to factory floors. Common use cases include:
- Real-Time Process Monitoring and Optimization: Join operational data from multiple sources in real time to gain the visibility needed to respond quickly to inventory changes and optimize processes like routing and scheduling.
- Live Inventory Tracking and Alerts: Improve customer satisfaction by providing timely delivery updates, using SQL-defined alerts to flag delays or disruptions.
- Fresh Context for AI Agents: Real-time data products align seamlessly with the Model Context Protocol (MCP). Instead of granting agents access to raw database tables—where they can run arbitrary, expensive queries—engineering teams can expose live, semantic representations of the business that update as data changes. This ensures agents receive the reliable, up-to-date context they need to perform their tasks without overloading existing infrastructure.
| Simplify your architecture with three common patterns enabled by Materialize | ||
|---|---|---|
| Query Offload (CQRS)
Scale complex read queries more efficiently than a read replica, and without the headaches of cache invalidation. |
Operational Data Store (ODS)
Extract, load, and incrementally transform data from multiple sources. Create live views of your data that can be queried directly or pushed downstream. |
Operational Data Mesh
Use SQL to create and deliver real-time, strongly consistent data products to streamline coordination across services and domains. |
General Mills, Crane Worldwide Logistics, Ryder, and other manufacturing and supply chain leaders use Materialize to lower costs while boosting scalability, agility, and developer productivity.