Memgraph
In-memory graph database compatible with Cypher, queried over the Bolt protocol with client libraries.
- Category
- Cloud & Data Platforms
- Type
- Graph database
- Interface
- database interface
- Built with
- Connect Anything
- Credentials
- Username and password
02Data
What you can sync.
- Nodes
- Relationships
- Cypher query results
Load Memgraph nodes into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Memgraph data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- A username and password
Memgraph 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 Memgraph if you need help.
04How it works
How it works in DataMind.
-
Pick Memgraph.
Open Lake, pick Memgraph in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the Memgraph API docs.
-
Answer a few questions.
The AI reads the Memgraph 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.
The connector agent writes a Python connector for Memgraph, tests it against the live API and shows you sample rows. Then the data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
