Neo4j
Graph database (self-managed or AuraDB) whose HTTP Query API runs Cypher queries and returns nodes and relationships.
- Category
- Cloud & Data Platforms
- Type
- Graph database
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Username and password, Access token
- Docs
- Neo4j API docs
02Data
What you can sync.
- Nodes
- Relationships
- Cypher query results
Put Neo4j nodes next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Neo4j data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- A username and password
- An access token
Neo4j uses a username and password or an access token. You add the credentials once, when the AI asks for them, and it tells you where to create them in Neo4j if you need help.
04How it works
How it works in DataMind.
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Pick Neo4j.
Open Lake, pick Neo4j in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Neo4j API docs.
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Answer a few questions.
The AI reads the Neo4j documentation, then asks which credentials you will use, which data to sync (for example nodes and relationships), 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 Neo4j data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
