Databases and warehouses can answer any SQL query you give them, but we often just need the answer to a few queries over and over again.
Teams are forced to choose from one of several compromises:
Materialize efficiently incrementally maintains complex transformations defined in standard SQL.
Manage Materialize using dbt in Three Steps
Maintain the entire schema of your SQL transformations (sources, views, materialized views) in a dbt project in a git repo.
Execute `dbt run` from the CLI to build the SQL models and transformations in Materialize once, and to migrate after updates.
Materialize automatically updates the results of SQL transformations as source data changes. Results can be queried in SQL or streamed out.
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