Build real-time analytics applications that supports 100s to 100,000s queries per second at consistent performance with a highly efficient architecture that uses less infrastructure than other databases.

Apache Druid is a real-time analytics database designed for fast slice-and-dice analytics ("OLAP" queries) on large data sets. Most often, Druid powers use cases where real-time ingestion, fast query …

Power real-time analytics & data applications Apache Druid is a database that is most often used for powering use cases where real-time ingest, fast query performance, and high uptime are important.

Feb 18, 2016 · Within the Societe Generale IT department, Apache Druid is used as Time Series Database in order to store performance metrics generated in real-time by thousands of servers, …

Druid easily ingests data from object stores including HDFS, Amazon S3, Azure Blob, and Google Cloud Storage as well as data files from databases and other sources.

To summarize, Druid shines when the use cases involves real-time analytics and where the end-user (technical or not) wants to apply numerous queries in rapid succession to explore or better …

Compact segments This tutorial demonstrates how to compact existing segments into fewer but larger segments in Apache Druid. There is some per-segment memory and processing overhead during …