Igor from Rockset discusses the design of a modern search analytics database utilizing RocksDB. The database is built to handle real-time updates, with support for document insertions and mutations. It facilitates various types of queries, including search queries via inverted indexes and vector search with similarity indexes. Key performance metrics include low query latencies and sub-second ingest latency, making it suitable for applications requiring high concurrency and responsiveness. The system architecture aims to leverage the cloud's capabilities for efficient processing of data streams.
Rockset is a search analytics SQL database that boasts sub-second ingest latency, optimized for cloud-based applications and designed to handle high-concurrency queries.
The system is designed to cater to document insertions, mutations, and real-time analytics, with various indexing strategies like inverted and similarity search indexes.
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