Apache Druid is a high-performance, distributed analytics database designed for real-time ingestion and fast querying of large-scale data. It's optimized for time-series data and provides sub-second query performance for analytical workloads.
Apache Spark is a unified analytics engine for large-scale data processing with built-in modules for streaming, SQL, machine learning, and graph processing. It provides high-level APIs in Java, Scala, Python, and R, and an optimized engine that supports general execution graphs.
Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases. It's built on top of Apache Lucene and provides near real-time search and analytics capabilities. Elasticsearch is commonly used for log analytics, full-text search, security intelligence, business analytics, and operational intelligence. It is a key component of the Elastic Stack (formerly known as the ELK Stack), which includes Elasticsearch, Logstash, and Kibana.
This document provides a comprehensive comparison of four popular OLAP (Online Analytical Processing) databases: ClickHouse, StarRocks, Apache Druid, and Apache HBase. Each database has unique strengths and trade-offs that make them suitable for different use cases.
StarRocks is a high-performance, distributed OLAP database designed for real-time analytics and sub-second query performance. It features an MPP (Massively Parallel Processing) architecture optimized for analytical workloads with high concurrency support.