Doris

About Doris

Apache Doris is a high-performance database designed for real-time analytics and search, delivering rapid insights on large-scale data. It supports both push-based micro-batch and pull-based streaming ingestion, enabling enterprises to analyze fresh data within seconds. Its architecture is built for high concurrency and throughput, leveraging a columnar storage engine, MPP design, and vectorized execution to optimize query performance. The platform supports federated querying across data lakes and relational databases, facilitating unified analytics across diverse data sources.

Targeted at mid-to-large enterprises, Apache Doris addresses the need for scalable, real-time data warehousing and hybrid search capabilities. It integrates vector search, full-text search, and structured analytics into a single SQL engine, eliminating the need for multiple search stacks. This makes it suitable for use cases ranging from real-time dashboards and ad-hoc analysis to customer data platforms and log analytics. Its compatibility with MySQL protocol and ANSI SQL ensures seamless integration with existing BI tools and external compute engines like Spark and Flink, enhancing enterprise data ecosystems.

Key Capabilities

• ✓Real-time data ingestion with micro-batch and streaming
• ✓High-concurrency, high-throughput columnar storage engine
• ✓Federated querying across data lakes and databases
• ✓Hybrid search combining vector, full-text, and structured analytics
• ✓Distributed architecture with workload isolation and tiered storage

Integrations

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