Apache Doris

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Apache Doris is an easy-to-use, high-performance unified analytics database for real-time and offline analysis.

Author Apache Open Sourced 2017-08-10 Last Commit Unknown

Overview

Apache Doris is an easy-to-use, high-performance unified analytics database designed for both real-time and offline analysis. It combines columnar storage with an efficient query engine to support OLAP workloads, simplifying data warehouse and analytics platform construction.

Key Features

  • Unified analytics engine supporting real-time and offline analysis to simplify data platform architecture.
  • Columnar storage and vectorized execution delivering high throughput and low latency for analytical queries.
  • Scalable and highly available cluster deployment with load balancing for large datasets.
  • Rich ecosystem integrations with common data engineering tools and ETL pipelines.

Use Cases

  • Real-time analytics powering interactive BI dashboards and low-latency reporting.
  • Data warehousing with OLAP storage and large-scale offline analytics.
  • Business reporting and dashboards requiring responsive query performance on large volumes.

Technical Details

  • Columnar storage and vectorized processing optimized for large aggregations and scans.
  • Standard SQL interfaces with diverse data ingestion options for easy integration into existing workflows.
  • Apache-2.0 licensed, cloud-native design supporting multiple deployment topologies.