Valkey
by Linux Foundation
Open-source in-memory key-value store forked from Redis, read over the Redis-compatible protocol.
- Category
- Cloud & Data Platforms
- Type
- Database
- Interface
- database interface
- Built with
- Connect Anything
- Credentials
- Username and password, Vendor credentials
- Docs
- Valkey API docs
02Data
What you can sync.
- Keys
- Hashes
- Streams
- Sorted sets
Put Valkey keys next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Valkey data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- A username and password
- Other credentials
Valkey uses a username and password or other credentials. You add the credentials once, when the AI asks for them, and it tells you where to create them in Linux Foundation if you need help.
04How it works
How it works in DataMind.
-
Pick Valkey.
Open Lake, pick Valkey in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the Valkey API docs.
-
Answer a few questions.
The AI reads the Valkey documentation, then asks which credentials you will use, which data to sync (for example keys and hashes), 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 Valkey, 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.
