apache-doris 开源项目推荐（31 个）

dataease /dataease

人人可用的开源 BI 工具，数据可视化神器。Tableau 的开源 BI 工具替代方案。

jeecgboot /JimuBI

【可视化数据大屏】酷炫大屏 轻松设计，通过拖拽完成大屏设计，80多种组件及20多种边框装饰满足您的设计需求

dyrnq /docker-doris

更清晰的 Apache Doris Docker 镜像。

xplurdata /oss-stack

XplurData 是一个免费的开源可观测性平台——将日志、追踪和指标集中到一个强大的分析栈中。可部署在自己的基础设施上，无锁定，无许可费用。

walker83 /HarnessDB

HarnessDB 是一个面向 AI 的通用数据库。可轻松模拟多数据库平台。现在同时支持 14 种不同的数据库协议。使用 Rust 和 Apache DataFusion 构建。

d-ganchar /david8

david8 是一个轻量级 Python SQL 构建器

wndkt /dwh-demo-apache-doris

该项目在 GitHub 上没有填写描述

Raaaaaaaay86 /doris-loader

A loader library of doing stream load to Apache Doris

yuhexiong /airflow-dag-kafka-flink-doris-python

Airflow to maintain operation of Flink pipeline, Doris database and Kafka.

yuhexiong /kafka-data-pipeline-structured-flink-java

Data pipeline from Kafka to Kafka, Doris and Doris to Kafka using Flink Java.

gordonmurray /docker_compose_apache_doris

Apache Doris and Kafka with Docker Compose for local SQL analytics.

dmcteknoloji /doris-superset-lab

Apache Doris, PostgreSQL ve SQL Server'ı aynı 20 milyon satırla karşılaştıran Docker laboratuvarı. Üzerinde Apache Superset.

colvenna /colvenna-catalog

REST catalog server for Apache Paimon. Open source (Apache-2.0), backed by PostgreSQL; runs on Amazon EKS or serverless on AWS Lambda.

jiangxt2 /Yamazaki

Incubating a governed, evidence-driven AIOps control plane for ClickHouse and Apache Doris.

wuxiy /data-os

Build a unified Chinese portal over SeaTunnel, Doris, dbt and OpenMetadata — from hospital data collection to governed, AI-ready data products.

colvenna /colvenna-lake

Declarative real-time lakehouse, powered by Apache Paimon. Database CDC and event streams land in the lake within minutes on Kubernetes and S3, with Apache Flink and Apache Doris.

TungNamNguyen /data-engineering-templates

A collection of ready-to-use Docker Compose templates to quickly run popular Data Engineering tools

yuhexiong /doris-to-trino-data-pipeline-spark-python

该项目在 GitHub 上没有填写描述

CHEUKFUNGWU /ai-observability-lakehouse

Stream-batch unified observability lakehouse for LLM and agent applications — Kafka + Flink SQL + Apache Paimon + Spark, with Gravitino metadata, Doris serving, and Superset/Grafana dashboards. 46 modeled DWD/DWS/DIM/ADS tables covering cost, reliability, quality, safety and platform health.

yuhexiong /oracle-data-pipeline-spark-python

该项目在 GitHub 上没有填写描述