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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

Grow the data you start with as your system changes scale. See Alopex DB's design goal and what v0.8.9 lets you try today.

A product-wide design goal: carry the data you start with across changes in scaleRaft-based KVS with SQL, Vector, and Graph ETL integratedNo data conversion or migration when switching deployment modes
See Alopex DB

Database

Startup Database Choices with Alopex DB

Day-0 speed, into the next stage. A startup proposal built around Alopex DB's design goal—and what v0.8.9 lets you try today.

Start your MVP instantly with the zero-config embedded modeA design goal to reduce data conversion, migration, and rewrites as you scaleSQL + vector search in one engine from day one — no dual AI infrastructure
See Startup Database Choices with Alopex DB

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Talk through your goal