Real-Time Analytics Makes the Future
Apache Doris is a new-generation open-source real-time data warehouse based on MPP architecture, with easier use and higher performance for big data analytics.

Core Features
Easy to Use
Two processes, no other dependencies; online cluster scaling, automatic replica recovery; compatible with MySQL protocol, and using standard SQL
High Performance
Extremely fast performance for low-latency and high-throughput queries with columnar storage engine, modern MPP architecture, vectorized query engine, pre-aggregated materialized view and data index
Single Unified
A single system can support real-time data serving, interactive data analysis and offline data processing scenarios
Federated Querying
Supports federated querying of data lakes such as Hive, Iceberg, Hudi, and databases such as MySQL and Elasticsearch
Various Data Import Methods
Supports batch import from HDFS/S3 and stream import from MySQL Binlog/Kafka; supports micro-batch writing through HTTP interface and real-time writing using Insert in JDBC
Rich Ecology
Spark uses Spark Doris Connector to read and write Doris; Flink Doris Connector enables Flink CDC to implement exactly-once data writing to Doris; DBT Doris Adapter is provided to transform data in Doris with DBT
Start Your Journey in Real-Time with Apache Doris