Amazon Keyspaces
by Amazon Web Services
Serverless Apache Cassandra-compatible database on AWS, queried with CQL drivers and SigV4 authentication.
- Category
- Cloud & Data Platforms
- Type
- Database
- Interface
- database interface
- Built with
- Connect Anything
- Credentials
- AWS access keys, Username and password
02Data
What you can sync.
- Rows
- Tables
- Keyspaces
Load Amazon Keyspaces rows into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Amazon Keyspaces data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- AWS access keys
- A username and password
Amazon Keyspaces uses AWS access keys 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 Amazon Web Services if you need help.
04How it works
How it works in DataMind.
-
Pick Amazon Keyspaces.
Open Lake, pick Amazon Keyspaces in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the Amazon Keyspaces API docs.
-
Answer a few questions.
The AI reads the Amazon Keyspaces documentation, then asks which credentials you will use, which data to sync (for example rows and tables), 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 Amazon Keyspaces, 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.
