Use case

Handle and search data

You do not want search to slow down as data grows, you want nearest matches, and you want it to keep running — the same engine, from a single embedded instance to a production cluster. Here are the products that fit and the hands-on notes behind them. Get your bearings here, then go deeper.

Products that fit

Database

Alopex DB

Same data file from embedded to cluster. Raft-based KVS + SQL + Vector + Graph ETL in one engine.

Same data file across embedded → server → cluster, seamless migrationRaft-based KVS with SQL, Vector, and Graph ETL integratedNo data conversion or migration when switching deployment modes

See Alopex DB

Database

The Best DB for Startups

Day-0 speed, all the way to scale. The startup pitch for Alopex DB: grow from MVP to cluster on the same data file.

Start your MVP instantly with the zero-config embedded modeNo data conversion, migration, or rewrite when you scaleSQL + vector search in one engine from day one — no dual AI infrastructure

See The Best DB for Startups

Filter the full product list →

Related development notes

See all articles →

Talk through your goal