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Enter the「Modern」data warehouse
Fresh data and fast queries
Push-based micro-batch and pull-based streaming data ingestion within seconds. Storage engine with real-time upsert, append and pre-aggregation. Unparalleled performance in both real-time data serving and interactive ad-hoc queries.
UnifiedOne platform for various analytics workloads
Not just structured but also semi-structured data. Not just real-time analytics but also batch processing. Not just run queries against internal data but also work as a federated query engine to access external data lakes and databases.
ElasticElastic scaling for efficient resource management
Distributed design to support linear scalability. Whether on-premise deployment or cloud service, separation or integration of storage and compute, resource usage can be flexibly and efficiently adjusted according to workload requirements.
OpenOpen design simplifies system integration
Built on and fully compatible with open source Apache Doris. Support MySQL protocol, functions, and SQL for easy integration with other data tools. Provide open data API to be accessible for various external query engines.
Modernize your analytics workloads with VeloDB
Compared to other products and technologies
Trusted by innovation leaders
Recent news
Best PracticeHow AI unicorn MiniMax migrated from Loki and built a PB-scale logging system with Apache Doris
Serving a PB-scale data size with over 99.9% availability, Apache Doris is the vital signs monitor of MiniMax, a generative AI startup backed by Alibaba.2024/08/29Apache Doris
Best PracticeReal-time data warehouse in TikTok based on Apache Doris
We are excited to invite the data platform team of TikTok to talk about how they use Apache Doris in their real-time data architecture and how they benefit from it, which could serve as a model for effective real-time data warehousing.2024/09/13Data Platform Team of TikTok
Release NotesNew milestone: Apache Doris 3.0 has been released
During the development of version 3.0, over 200 contributors submitted nearly 5,000 optimizations and fixes to Apache Doris. Contributors from companies such as VeloDB, Baidu, Meituan, ByteDance, Tencent, Alibaba, Kwai, Huawei, and Tianyi Cloud actively collaborated with the community, contributing test cases from real-world use cases to help us improve Apache Doris. We extend our heartfelt thanks to all the contributors involved in the development, testing, and feedback process for this release.2024/10/16Apache Doris