Doris (Apache)
Open SourceOpen source real-time analytics and search database for AI workloads
About Doris (Apache)
Apache Doris is an open source, real-time analytics and search database designed to handle large-scale data with high concurrency and throughput. It integrates vector search, full-text search, and structured analytics into a unified SQL engine, enabling enterprises to perform hybrid search and analytical processing without the need for separate search stacks. The platform supports real-time data ingestion, storage, and lightning-fast querying, making it suitable for organizations requiring immediate insights from streaming and batch data.
Targeted primarily at mid-to-large enterprises, Apache Doris is ideal for those looking to consolidate fragmented analytics infrastructure and build unified data platforms. Its distributed architecture supports linear scalability and workload isolation, while compatibility with MySQL protocol and ANSI SQL facilitates seamless integration with existing BI tools and external compute engines such as Spark and Flink. This makes it a versatile solution for real-time analytics, ad-hoc analysis, data lakehouse implementations, ELT processing, log analytics, and customer data platforms.
Key Capabilities
- ✓Real-time data ingestion and storage
- ✓Hybrid search combining vector and full-text search
- ✓High-concurrency, high-throughput query optimization
- ✓Federated querying across data lakes and databases
- ✓Support for semi-structured data and JSON
Integrations
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