Integrate and transform data from your core operational systems into live views that can power AI agents, event driven architectures, and operational dashboards.
For fast-moving operations like freight logistics or factory floors, every application in the chain needs fresh, consistent data. But data warehouses add hours of delay, hand-built pipelines break when sources change, and polling means downstream systems are always slightly behind. And as organizations move more operations to AI agents, they're acting on stale data at machine speed. Materialize helps you build a live digital twin of your entire business to power freight intelligence, inventory visibility, and manufacturing operations. Define data products like shipments, inventory, and production runs in SQL, that any team can then discover, share, and build on.
Logistics and freight teams need live visibility into load status to catch issues before customers do. But most platforms still poll for updates every few seconds, which is expensive, creates lag, and misses changes between queries. With Materialize, you can build live views of freight entities like loads, legs, stops, and carrier events, and push updates to applications the moment anything changes. Applications get proactive notifications, and live location search, and AI agents can flag at-risk shipments or reroute loads around disruptions.
Distribution and supply chain teams need current inventory data to keep replenishment systems accurate and retail partners in sync. But inventory data spans dozens of ERP databases, the warehouse view is always hours behind, and when systems disagree on stock levels, orders get oversold. With Materialize, you can unify these sources into live views of SKU positions, allocations, and in-transit quantities that stay accurate as each system updates. Replenishment systems get current data, and AI agents get accurate stock context.
Manufacturing teams need live plant floor data to catch quality issues early and feed accurate data into predictive models. But plant floor data is structured for machines, not for the systems that need to consume it — so every new project rebuilds the same translations from scratch. With Materialize, you can turn plant floor data into live data products representing production runs, quality events, and other business entities, which stay up-to-date as source systems change. One live model serves the whole team, and new data sources onboard in days instead of months.
Connect ERP, WMS, TMS, and carrier systems via change data capture — ingesting changes from Oracle, SQL Server, PostgreSQL, and Kafka without batch ETL or extract windows.
Model operational entities like shipments, inventory positions, and production runs using standard SQL with joins, aggregations, and temporal logic. Any team that knows SQL can build and maintain the model.
Every transaction in a source database is reflected as one complete update across all downstream views, meaning no partial or duplicate updates.
Applications, AI agents, and operational dashboards connect to Materialize over the PostgreSQL wire protocol, including MCP servers, without new SDKs or drivers.
Subscribe to changes over a Postgres connection using SUBSCRIBE, instead of polling. Applications receive updates the moment underlying data changes.
Build new data products from existing ones, with strong consistency guarantees that keep everything in sync. Define a data product once and reuse it across teams and use cases.
Learn more about Materialize, architectural patterns, and use cases.