Detailed Introduction
Apache Doris is a unified analytics database designed for both real-time and offline analysis. It combines columnar storage and an efficient query engine to support OLAP workloads, aiming to simplify data warehouse and analytics platform construction with a user-friendly SQL interface, vectorized execution, and high-performance concurrency.
Main Features
- Unified analytics engine: supports real-time and offline analysis to simplify architecture.
- Columnar storage and vectorized execution for high throughput and low latency queries.
- Scalable and highly available: cluster deployment and load balancing for large datasets.
- Rich ecosystem integrations with common data engineering tools and ETL pipelines.
Use Cases
- Real-time analytics: interactive BI dashboards and low-latency reporting.
- Data warehousing: OLAP storage and large-scale offline analytics.
- Reporting and dashboards: serve business analytics with responsive query performance.
Technical Characteristics
- Columnar storage and vectorized processing optimize large aggregations and scans.
- Standard SQL interfaces and diverse data ingestion options ease integration.
- License: Apache-2.0, suitable for enterprise and community use.
- Cloud-native and big-data friendly, supporting multiple deployment topologies.