Materialize
Operational data warehouse that keeps SQL views incrementally up to date, queryable over Postgres wire or an HTTP API.
- Category
- Cloud & Data Platforms
- Type
- Real-time analytics database
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Username and password
02Data
What you can sync.
- Sql query results
- Materialized views
- Sources
Load Materialize sql query results into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Materialize data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- A username and password
Materialize uses a username and password. You add the credentials once, when the AI asks for them, and it tells you where to create them in Materialize if you need help.
04How it works
How it works in DataMind.
-
Pick Materialize.
Open Lake, pick Materialize in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Materialize API docs.
-
Answer a few questions.
The AI reads the Materialize documentation, then asks which credentials you will use, which data to sync (for example sql query results and materialized views), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Materialize data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
05Related
