About Materialize
Materialize is a streaming SQL database that keeps query results current as the source data changes. It is aimed at teams that need live data for applications and AI agents.
What it does
Materialize ingests changes from operational databases and other systems, then recalculates only the parts of a query that a change affects. Developers define views in SQL, and those views stay fresh without repeated batch jobs. The results can be queried directly or pushed to downstream systems. That suits live dashboards, operational alerts and fresh context for AI agents that need to act on current facts.
Key features
- Incrementally updated SQL views
- Ingests changes from databases and other sources
- Separates storage from compute for scaling
- Keeps vector embeddings fresh as source data changes
- Offered as SaaS or as an on-premises deployment
Who it's for
Platform and data engineers who need live data products, teams building AI agents that need current context, and companies running microservices whose data changes all day.
Pricing and good to know
The site offers a free trial and a demo request, and detailed pricing is on a separate page. The product can run as a hosted service or on-premises, which helps where data must stay inside a private network. Plan the sources you want to connect first, since each new source adds to the work the system does.
Highlights
- Define SQL views that update as data changes
- Ingest changes from databases and other sources
- Push live results to downstream systems
- Keep vector embeddings in step with source data
- Run as a hosted service or on-premises
