Apache Druid is a high-performance, distributed data store designed for real-time analytics on large-scale datasets. In the context of Apache Superset, it serves as an optional backend database engine to enable scalable and high-performance data analytics.
Superset can query Druid directly using its native API, bypassing the need for traditional SQL databases. This integration allows users to leverage Druid’s unique features such as fast ingestion, low-latency queries, and approximate calculations, which are essential for handling massive volumes of streaming or historical data.
Druid’s columnar storage format and indexing capabilities further enhance query performance by enabling efficient filtering, aggregation, and sorting operations. Additionally, its horizontal scalability ensures that as data volume grows, the system can maintain high query performance by distributing data across multiple nodes.
