• Unlock streaming data potential through Druid's native integration with Apache Kafka and Amazon Kinesis as it supports...
  • Apache Druid is a real-time analytics database designed for fast slice-and-dice analytics ("OLAP" queries) on large data sets.
  • In this article we will have a complete overview of the Apache Druid framework, starting from what a timeseries is, how we could handle this kind of data, and a...
  • As Druid stores data copy in deep storage, it becomes easier to recover data even when all the Druid servers fail, making Apache Druid architecture fault-tolerant.
  • Druid is a column-oriented, open-source, distributed data store written in Java. Druid is designed to quickly ingest massive quantities of event data...
  • Druid's main value add is to reduce time to insight and action. Druid is designed for workflows where fast queries and ingest really matter.
    • Issues:
      705
    • Last commit:
      17 September 2024
  • This article gently presents the OLAP-like timeseries database Apache Druid, by outlining its architecture and the way that its components interact for data ingestion...
  • Superior benchmark results In SSB benchmark comparisons, StarRocks outpaced Apache Druid, with its multi-table queries outperforming even Druid’s...
  • ••• Druid is designed for workflows where fast ad-hoc analytics, instant data visibility, or supporting high concurrency is important.
  • A module that is everything required to understands Druid Segments.