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.
Change Data Capture (CDC) is a design pattern that identifies and captures changes made to data in a database, then delivers those changes in real-time to downstream systems. CDC enables real-time data integration, synchronization, and streaming analytics across heterogeneous systems.
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 guide covers integrating Change Data Capture (CDC) with Apache Kafka to create real-time data streaming pipelines. We'll explore Kafka Connect, Debezium, and custom implementations for building robust CDC systems.
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.