ClickHouse® is a free analytics DBMS for big data
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Updated
Aug 22, 2021 - C++
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ClickHouse® is a free analytics DBMS for big data
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》
Simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
Web-based SQL editor run in your own private cloud. Supports MySQL, Postgres, SQL Server, Vertica, Crate, ClickHouse, Trino, Presto, SAP HANA, Cassandra, Snowflake, BigQuery, SQLite, and more with ODBC
Predictive AI layer for existing databases.
Open Source HTTP Reverse Proxy Cache and Time Series Dashboard Accelerator
Golang driver for ClickHouse
At present, our API documentation and API configuration in Jitsu Server contain some discrepancies. Since Jitsu API grows fast It's unavoidable. We should improve it. Clear documentation is an essential thing in OSS projects.
We should create Open API specification (yaml file) and generate both Jitsu Server handlers (gin-gonic) and doc
Tabix.io UI
The Open Source A/B Testing Platform
深圳地铁大数据客流分析系统
Bifrost ---- 面向生产环境的 MySQL 同步到Redis,MongoDB,ClickHouse,MySQL等服务的异构中间件
Ready to use log management solution for Kubernetes storing data in ClickHouse and providing web UI.
ClickHouse http proxy and load balancer
ClickHouse Python Driver with native interface support
Data syncing in golang for ClickHouse.
The ClickHouse Operator creates, configures and manages ClickHouse clusters running on Kubernetes
Presentations, meetups and talks about ClickHouse
Clickhouse datasource for grafana
php ClickHouse wrapper
Tool for easy ClickHouse backup and restore with cloud storages support
Easily load data from kafka to ClickHouse
Collects many small inserts to ClickHouse and send in big inserts
Addax(formerly DataX) is an open source universal ETL tool that support Cassandra, ClickHouse, DBF, Hive, InfluxDB, Kudu, MySQL, Oracle, Presto(Trino), PostgreSQL, SQL Server.
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1 issue description
2. fix bug, enhance....
3. git commit -m "issue name (#issue number)"