Use Materialize to deliver fresh context to AI agents, power data-intensive UIs, and create low-latency, event-driven architectures that drive core business processes.

Materialize uses the PostgreSQL wire protocol, which allows it to integrate out-of-the-box with many SQL clients and other tools in the data ecosystem that support PostgreSQL — like dbt.

They can take the results of data products as-is, or use SQL to apply additional transformations on-the-fly. This lets them observe the world, think, and take action.

Performing a SELECT on an indexed source, view or materialized view is Materialize’s ideal operation. When Materialize receives such a SELECT query, it quickly returns the maintained …

Materialize supports SQL Server as a real-time data source. The SQL Server source uses SQL Server’s change data capture feature to continually ingest changes resulting from CRUD …

Aug 10, 2020 · Discover how to reduce database query costs with Materialized Views. This guide will walk you through the benefits, creation process, and impact on database efficiency.

Mar 24, 2020 · Depending on how you work with databases, materialized views might mean different things (or nothing) to you. This article is meant to provide a general introduction to …

Materialized views in Materialize are incrementally maintained by default, meaning their results are automatically updated as soon as new data arrives. This guarantees that queries returns …

SQL commands Create/Alter/Drop Objects ... Create/Read/Update/Delete Data The following commands perform CRUD operations on materialized views, views, sources, and tables:

Materialize is wire-compatible with PostgreSQL, which means it integrates with many SQL clients that support PostgreSQL. In this guide, we’ll cover how to connect to your Materialize region …