Doris is an MPP-based interactive SQL data warehousing for reporting and analysis. Its original name was Palo, developed in Baidu. After donated to Apache Software Foundation, it was renamed Doris.
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Doris provides high concurrent low latency point query performance, as well as high throughput queries of ad-hoc analysis.
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Doris provides batch data loading and real-time mini-batch data loading.
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Doris provides high availability, reliability, fault tolerance, and scalability.
The main advantages of Doris are the simplicity (of developing, deploying and using) and meeting many data serving requirements in a single system. For details, refer to Overview.
Official website: https://doris.apache.org/
Note Some licenses of the third-party dependencies are not compatible with Apache 2.0 License. So you need to disable some Doris features to be complied with Apache 2.0 License. For details, refer to the
thirdparty/LICENSE.txt
Doris mainly integrates the technology of Google Mesa and Apache Impala, and it is based on a column-oriented storage engine and can communicate by MySQL client.
See Compilation
See Basic Usage
Doris provides support for Spark/Flink to read data stored in Doris through Connector, and also supports to write data to Doris through Connector.
Doris provides one-click visual automatic installation and deployment, cluster management and monitoring tools for clusters.
If you find any bugs, feel free to file a GitHub issue or fix it by submitting a pull request.
Contact us through the following mailing list.
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[email protected] | Development-related discussions | Subscribe | Unsubscribe | Archives |
- Doris official site - https://doris.apache.org
- Developer Mailing list - [email protected]. Mail to [email protected], follow the reply to subscribe the mail list.
- Slack channel - Join the Slack