doris — Apache Doris is an open-source, real-time analytics and search database based on MPP architecture, providing fast SQL analytics and hybrid search capabilities.

Apache Doris is an open-source, real-time analytics and search database based on MPP architecture, providing fast SQL analytics and hybrid search capabilities.

About this project

Apache Doris is a real-time analytics and search database built on a Massively Parallel Processing (MPP) architecture. It is designed to provide fast SQL analytics and hybrid search across structured, text, and vector data. Core capabilities include: - Real-Time Analytics: Supports streaming ingestion, incremental transformation, and sub-second queries under high concurrency. - Lakehouse Analytics: Enables fast SQL analytics over open table formats such as Iceberg, Delta Lake, and Hudi. - Hybrid Search: Provides SQL-native analytics across JSON, full-text, and vector data, specifically catering to AI and search workloads. The system supports both compute-storage coupled and decoupled deployment modes. In decoupled mode, stateless compute groups operate over shared object storage to allow on-demand scaling and workload isolation. Apache Doris integrates with various data engineering tools through dedicated connectors for Flink, Spark, and Kafka, and provides a Kubernetes Operator for deployment.