
The Live Data Layer for Apps and AI Agents
Materialize offers a streaming SQL database platform that creates real-time views of business data through an innovative incremental computation engine. The solution bridges the gap between traditional OLTP databases and data lakehouses, enabling organizations to power data-intensive applications, event-driven architectures, and AI agents with fresh, contextual data using familiar SQL.

Materialize is a streaming SQL database company that provides a live data layer for applications and AI agents. The platform enables organizations to create up-to-the-second views into their business data using familiar SQL, eliminating the complexity traditionally associated with real-time data processing. Their groundbreaking incremental computation engine continuously ingests data from databases, ERPs, CRMs, and other enterprise systems, performing minimal work to keep views updated as changes occur. Founded with backing from prominent investors, Materialize addresses a critical gap in modern data architecture between OLTP databases that are siloed and can't handle data-intensive queries, and data lakehouses that lack the freshness required for online services. The platform transforms raw data updates into live, canonical business objects that can be queried directly or composed into higher-level entities, essentially creating a trustworthy digital twin of the business that instantly reflects real-world changes. Materialize serves engineering and data teams at major enterprises, delivering measurable results including up to 120x reduction in page load times, 80% reduction in infrastructure costs, and significant improvements in developer productivity. The platform supports deployment across cloud (fully managed), self-managed environments, and local development, making it adaptable to various infrastructure requirements and compliance needs.