# Edge

> Browse 9 items tagged with Edge.

## Items

- [Cloudflare Vectorize](https://vectordb.ever.works/items/cloudflare-vectorize) — Edge-native managed vector database integrated with Cloudflare Workers. Supports 50,000 namespaces and up to 5M vectors per index for low-latency applications.
- [Turso](https://vectordb.ever.works/items/turso) — Managed edge database using SQLite with sqlite-vec for per-tenant vector stores. Provides isolation via one database per tenant, suitable for edge deployments.
- [ObjectBox Vector](https://vectordb.ever.works/items/objectbox-vector) — Resource-efficient on-device vector database with sync for mobile/IoT/embedded, enabling low-latency offline AI vector ops without cloud. Supports edge-first apps; more efficient than server-based Qdrant.
- [rvLite](https://vectordb.ever.works/items/rvlite) — Compact 2MB standalone database for low-latency vector search on IoT/mobile/embedded, no server needed for on-device real-time AI ops.
- [Actian VectorAI DB](https://vectordb.ever.works/items/actian-vectorai-db) — Edge-native vector database enabling sub-15ms ANN queries on remote devices without cloud dependency, using efficient disk-based indexing for real-time processing. Supports offline operation with synchronization capabilities, optimized for low-resource environments. Ideal for edge RAG, facial recognition, and IoT recommendations; more compact than Milvus for disconnected setups, edge-focused unlike Qdrant's distributed architecture.
- [Cloudflare Vectorize](https://vectordb.ever.works/items/cloudflare-vectorize-db) — Cloudflare's globally-distributed vector database running on their edge network. Provides low-latency vector search with automatic global replication and serverless pricing starting at $0.31/month.
- [ruvector-wasm](https://vectordb.ever.works/items/ruvector-wasm) — WASM bindings for RuVector vector database, enabling browser and edge runtime vector search and storage.
- [Zvec](https://vectordb.ever.works/items/zvec) — Lightweight embedded vector database for RAG systems useful in edge environments, running directly on devices with local vector search and no network latency or cloud dependencies.
- [ObjectBox](https://vectordb.ever.works/items/objectbox) — A high-performance embedded database for edge devices and mobile, offering vector search capabilities for AI applications.

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