TigerGraph
Distributed graph analytics database with REST++ endpoints for vertices, edges and installed GSQL queries.
- Category
- Cloud & Data Platforms
- Type
- Graph database
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token, Username and password
02Data
What you can sync.
- Vertices
- Edges
- Gsql query results
- Graph statistics
Load TigerGraph vertices into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other TigerGraph data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
- A username and password
TigerGraph uses an access token or a username and password. You add the credentials once, when the AI asks for them, and it tells you where to create them in TigerGraph if you need help.
04How it works
How it works in DataMind.
-
Pick TigerGraph.
Open Lake, pick TigerGraph in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the TigerGraph API docs.
-
Answer a few questions.
The AI reads the TigerGraph documentation, then asks which credentials you will use, which data to sync (for example vertices and edges), 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 TigerGraph data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
