Part 9/16:
Innovative features now support embedding vectors, enabling semantic search, feature stores, and AI workflows. With support for popular large language models like OpenAI's GPT or Anthropic's Claude, organizations can store and query vast vector datasets to power AI applications efficiently.
Architectural Excellence: Simplifying Data Workflows
Rakkesh emphasized how ClickHouse's architecture eliminates traditional data pipeline complexity:
Separation of compute and storage in ClickHouse Cloud architecture allows scalable, resource-efficient operation.
Object store backing (like S3) provides virtually unlimited storage capacity.
Cache layers and pre-warming data ensure lightning-fast query responses.