



High-performance NoSQL database with vector search capabilities built on USearch library and shard-per-core architecture, storing vector embeddings alongside structured data in unified tables.
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ScyllaDB launched vector search and storage capabilities in January 2026, enabling organizations to store vector embeddings alongside structured data attributes in the same ScyllaDB table.
Based on ScyllaDB Cloud or self-managed deployment costs