Aerospike memory-size vs data-size: Choosing a Namespace Storage Engine
Choosing between Aerospike's memory and device namespaces is a capacity-versus-latency decision with a hidden RAM cost: the primary index always lives in memory.
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Choosing between Aerospike's memory and device namespaces is a capacity-versus-latency decision with a hidden RAM cost: the primary index always lives in memory.
Choose between DuckDB persistent files and in-memory mode based on durability, dataset size, and concurrency constraints — with a runnable script to validate the behavior.
Reducing cost for a low-traffic analytical workload in DuckDB requires a choice between an in-memory database using ":memory:" and a persistent file. The in-memory option removes disk I/O and storage cost and can lower read latency, but data is lost on process exit and size is bounded by available RAM. A persistent file provides durability across restarts an
Integration boundary I am wiring the official SurrealDB Rust driver ( surrealdb crate) against a local SurrealDB server started in memory-only mode ( mem:// ) for an integration-test suite. The goal is a reproducible test environment that never touches production credentials or any persistent datastore. Constraints and uncertainty The server is launched with