Build event-driven systems with SQL

From detecting suspicious transactions to sending shipment notifications, the faster you can react to business events, the better you can serve customers. But event-driven systems are hard to build, requiring specialist engineers, complex stream processors, and layers of custom code. Materialize is the foundation for event-driven architectures, letting you transform operational data into events and data products with SQL. Generate events, trigger alerts, and share data across microservices — with sub-second latency.

Microservices need to share data to collaborate as part of a broader system. But coordinating data across services means messaging buses, service meshes, or API calls, adding overhead and potentially duplicating logic. With Materialize, you can create a shared data mesh that lets services access data without creating dependencies. Ingest data from microservice databases, join and transform with SQL, and publish versioned data products that other services can access over Postgres or Kafka. Data products act as contracts between services, so teams and their codebases stay loosely coupled and autonomous.

Applications need to notify users when key events happen, such as low inventory, suspicious transactions, or VIP customers visiting your website. But operational data is scattered across systems, making it hard to evaluate conditions and issue alerts in time. Materialize lets you model alerts in SQL that trigger the moment conditions are met. Ingest data from Kafka, databases, or webhooks, define views that represent your alerting rules, and subscribe to updates over a Postgres connection. With support for complex joins, aggregations, and window functions, you can build live alerting with the skills and team you already have.

Applications across your organization need to react to business events, such as order shipped, invoice generated, or payment completed. But determining events involves processing data across databases and systems, forcing teams to build complex data pipelines, duplicate logic in applications, or rely on data warehouses that are hours behind. With Materialize, you can join and transform operational data into semantic business events using SQL, and publish them downstream. Ingest data over CDC or Kafka, model business events and payloads as live views using SQL, and sink to Kafka within seconds of upstream changes. Materialize preserves database transactions and ensures strong consistency across views, so one upstream change produces exactly one downstream event.

Learn more about Materialize, architectural patterns, and use cases.