Part 6/16:
While initially positioned as an efficient analytical relational database, recent upgrades have transformed ClickHouse into a comprehensive data platform capable of:
Streaming and batch data ingestion from diverse sources like Kafka, cloud storage (S3, OSS), and data lakes.
Real-time processing for instant insights, vital for dashboards, anomaly detection, and operational intelligence.
Contextual data analysis with AI integration, including support for vector storage for semantic search and machine learning workflows.
Multimodal Data Handling: Storing and processing various data types such as time-series, JSON, semi-structured, and unstructured data within a single platform.