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About Apache Doris

Apache Doris is an open-source, real-time analytical database designed for high-performance data analytics and search. It supports both micro-batch and streaming data ingestion, allowing for real-time updates, appends, and pre-aggregation of data. The database is optimized for high-concurrency and high-throughput queries, leveraging a columnar storage engine, Massively Parallel Processing (MPP) architecture, a cost-based query optimizer, and a vectorized execution engine. This database is ideal for organizations needing to perform real-time analytics on large datasets, especially those integrating with data lakes (like Hive, Iceberg, Hudi) and traditional databases (MySQL, PostgreSQL). It caters to developers and data engineers who require a scalable, distributed system capable of handling complex data types, text searches, and seamless integration with BI tools and external compute engines like Spark and Flink. Its distributed design ensures linear scalability and efficient resource management through workload isolation and tiered storage, supporting both shared-nothing and storage-compute separation architectures.