Two processes, no other dependencies; online cluster scaling, automatic replica recovery; compatible with MySQL protocol, and using standard SQL

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

A single system can support real-time data serving, interactive data analysis and offline data processing scenarios

Supports federated querying of data lakes such as Hive, Iceberg, Hudi, and databases such as MySQL and Elasticsearch

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

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