turso

To add SQLite replication and vector search to an edge application, use Turso's libSQL client integration. It provides embedded replicas for local reads and native vector search support, enabling ultra-low latency and offline capability across mobile, web, and IoT.

An embedded replica is a local SQLite database copy that synchronizes with a remote primary. It enables offline-capable apps by allowing ultra-low latency local reads, syncing data automatically once connectivity is restored via the libSQL client.

Yes, you can use the libSQL client with Turso for multi-region edge synchronization. It supports global replication with closest-replica routing, ensuring optimized read latency across different geographic regions for edge-native scenarios.

To set up a Turso database, install the Turso CLI, authenticate your account, and create a database. Then connect using a libSQL client to run sample queries, leveraging embedded replicas and vector search features.

Yes, SQLite vector search works for AI workloads in edge databases through Turso's native vector search support. It allows AI-powered similarity search directly within the edge-hosted libSQL database, eliminating the need for a separate search service.

You should avoid using an edge-hosted SQLite database if your application requires centralized transactional consistency without replication delays, or if your workload lacks read-heavy patterns that benefit from local embedded replicas and closest-replica routing.