Apache Druid
by Apache Software Foundation
Real-time analytics database for event data, with an HTTP SQL API and native JSON query endpoints.
- 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
- Datasources
- Segments
- Ingestion tasks
Load Apache Druid sql query results into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Apache Druid data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- A username and password
Apache Druid 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 Apache Software Foundation if you need help.
04How it works
How it works in DataMind.
-
Pick Apache Druid.
Open Lake, pick Apache Druid in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Apache Druid API docs.
-
Answer a few questions.
The AI reads the Apache Druid documentation, then asks which credentials you will use, which data to sync (for example sql query results and datasources), 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 Apache Druid data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
05Related
