Tarantool

About Tarantool

An in-memory computing platform combining a database with an application server. Tarantool delivers high performance for both OLTP and data-intensive applications with built-in Lua scripting and persistent storage capabilities.

Key Features

• 1In-memory database and application server in a single runtime
• 2Lua scripting engine for stored procedures and server-side logic
• 3MVCC transactions with ACID guarantees for in-memory data
• 4Secondary indexes on any field including JSON subfields
• 5Built-in replication and sharding via vshard for distributed deployments

How Python Data Engineers Use Tarantool

Python data engineers use the `tarantool` Python connector to interact with Tarantool as an ultra-low-latency caching layer or session store in data pipelines. Its in-memory speed makes it suitable for real-time feature serving — a Python ML pipeline writes computed feature vectors to Tarantool, and the serving layer retrieves them in microseconds at inference time.