Move beyond slow queries and database overload. Offload heavy queries to live views that you can query in milliseconds.
Your applications and dashboards query operational databases for fresh data. But as usage and data volumes grow, these queries take longer to run, slowing response times and risking database overload.
Joining and transforming large datasets takes minutes.
More applications and more users mean queries run constantly.
Databases can't keep up, leading to timeouts and downtime.
The Query Offload pattern offloads heavy queries from your database to Materialize. Integrate your data sources, model queries as live views, and get instant access to fresh results.
Integrate data from your operational databases over change data capture to keep Materialize in sync.
Model your complex queries in Materialize using standard SQL, creating live views that are always fresh and fast to query.
Point your applications at Materialize's Postgres-compatible interface instead of your database.
Run complex queries over fresh data with consistent low latency. Unlike stale caching layers or slow batch processes, Materialize delivers fresh results in milliseconds.
Delphi achieved a 120× reduction in page load times for their Studio dashboard, dropping from over two minutes to under a second.
Fast queries over fresh data - with the team and tools you already have.
Integrate data from PostgreSQL, MySQL, SQL Server, and other databases.
Query, combine, and transform data using Postgres-compatible SQL.
Create live views that update incrementally as underlying data changes.
Connect existing applications, drivers and tools with full PostgreSQL wire protocol compatibility.
Push changes over a Postgres connection using SUBSCRIBE, instead of polling.
Learn more about Materialize, architectural patterns and use cases.