🏆 零代码、全功能、强安全 ORM 库 🚀 后端接口和文档零代码，前端(客户端) 定制返回 JSON 的数据和结构。 🏆 A JSON Transmission Protocol and an ORM Library 🚀 provides APIs and Docs without writing any code.

flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》

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orm sql query builder, API: QB, QB.X, QrB

Java client and JDBC driver for ClickHouse

Frostmourne（霜之哀伤监控平台）是基于Elasticsearch, Prometheus, SkyWalking, InfluxDB，Mysql/TiDB，ClickHouse, SqlServer, IoTDB数据的分布式监控报警系统. Monitor & alert & alarm for Elasticsearch，Prometheus data。主要使用springboot2 + vue-element-admin

Addax is a versatile open-source ETL tool that can seamlessly transfer data between various RDBMS and NoSQL databases, making it an ideal solution for data migration.

DataCap is integrated software for data transformation, integration, and visualization. Support a variety of data sources, file types, big data related database, relational database, NoSQL database, etc. Through the software can realize the management of multiple data sources, the data under the source of various operations conversion ...

ClickHouse Native Protocol JDBC implementation

qStudio - Free SQL Analysis Tool

腾讯 APIJSON 各种语言、各种框架 的 使用示例项目、上手文档、测试数据 SQL 文件 等。Demo projects with document and SQL files for Tencent APIJSON with different programming languages and different frameworks.

Flink sink for Clickhouse

Flink SQL connector for ClickHouse. Support ClickHouseCatalog and read/write primary data, maps, arrays to clickhouse.

数据建设与大数据技术知识体系，包含hadoop、hive、spark、flink主流框架和系列框架，数据中台、数据湖、数据治理、数仓建设、数据化转型等

Graphouse allows you to use ClickHouse as a Graphite storage.

Visualizing data in ClickHouse using native Kibana.

A JDBC proxy from ClickHouse to external databases

ClickHouse Kafka Connector

XL-LightHouse是一套支持超大数据量、支持超高并发的通用型流式大数据统计系统【同时支持单机版】。常见的应用场景包括：PV、UV统计；电商销售额、下单用户数统计；日志量统计；接口调用量、异常量、耗时情况统计；服务器运维指标监控等功能。系统支持多维度统计，支持各种复杂的条件筛选和逻辑判断，一键部署，一行代码接入，轻松实现各种海量数据实时统计，帮助企业以更低的成本快速搭建起数据指标体系，是企业降本增效的好帮手！

基于开源Litemall电商项目的大数据项目，包含前端埋点(openresty+lua)、后端埋点；数据仓库(五层)、实时计算和用户画像。大数据平台采用CDH6.3.2(已使用vagrant+ansible脚本化)，同时也包含了Azkaban的workflow。