登录 注册

stream-reactor

去点 Star
其他
1,070
Stars
—
Forks
0
Watchers
—
Open Issues
待补全
许可证
Scala
语言
—
创建时间
最近更新

项目能做什么

stream-reactor 是 Kafka Connect 连接器集合,解决 Kafka 与外部系统的数据同步问题。它提供多种 Source 和 Sink 连接器,支持 S3、Cassandra、MongoDB 等存储与队列,方便搭建实时数据管道。
来源:基于仓库元数据 · 内容以仓库实际 README 为准

使用说明 查看原始 README 原仓库文档

中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
![Alt text](images/streamreactor-logo.png)
![Actions Status](https://github.com/lensesio/stream-reactor/actions/workflows/build.yml/badge.svg)
[<img src="https://img.shields.io/badge/docs--orange.svg?"/>](https://docs.lenses.io/connectors/)
[![FOSSA Status](https://app.fossa.com/api/projects/git%2Bgithub.com%2Flensesio%2Fstream-reactor.svg?type=shield)](https://app.fossa.com/projects/git%2Bgithub.com%2Flensesio%2Fstream-reactor?ref=badge_shield)

Join us on slack [![Alt text](images/slack.jpeg)](https://launchpass.com/lensesio)

# Lenses Connectors for Apache Kafka

Lenses.io is the leader in offering Apache 2 licensed Kafka Connectors (Stream Reactor) since 2016. 

## Enterprise Support for Kafka Connectors 

Lenses offers the leading Developer Experience solution for engineers building real-time applications on any Apache Kafka ([lenses.io](http://www.lenses.io)). Subscribed customers are entitled to full 24x7 support for selected Kafka Connectors. This includes priority over feature requests and security incident SLAs. Email info@lenses.io for more information. 

## Engage with the Community

Speak to us on our Community Slack channel (Register at https://launchpass.com/lensesio) or ask the Community a question in our [Ask Marios](http://www.lenses.io) forum. 

## Version Support Policy

Under our standard support agreement, we provide assistance for the current major version as well as the preceding major version exclusively. For instance, if version 8.x is the current major release, we offer support for Lenses connectors versions within the 8.x and 7.x series.

Enterprise-level support commences from version 7.0 onwards.

Lenses prioritizes backporting fixes rather than incorporating new features, and this is done on a limited basis across select prior releases. For further clarification, please refer to our maintenance policy.

Should you reach out to our support team regarding issues encountered while using an unsupported version, we will direct you to this section of our policy page and encourage you to upgrade.

## Kafka Connectors Roadmap

A series of next-generation Connectors are in active development. Give us your feedback of which connectors we should be working on or to to get the latest information, send us an email at info@lenses.io

## Kafka Compatibility

* Kafka 2.8 -> 3.5 (Confluent 6.2 -> 7.5) - Stream Reactor 4.1.0+
* Kafka 3.1 (Confluent 7.1) - Stream Reactor 4.0.0 (Kafka 3.1 Build)
* Kafka 2.8 (Confluent 6.2) - Stream Reactor 4.0.0 (Kafka 2.8 Build)
* Kafka 2.5 (Confluent 5.5) - Stream reactor 2.0.0+
* Kafka 2.0 -> 2.4 (Confluent 5.4) - Stream reactor 1.2.7

## DEPRECATION NOTICE

In the next major release, Elasticsearch 6 support will be removed, to be replaced with OpenSearch and Elasticsearch 8 support.

The following connectors have been deprecated and are no longer included in future releases:

* Elasticsearch 6
* Kudu
* Hazelcast
* HBase
* Hive
* Pulsar

## Docs & Release Notes

Please see the
*[Stream Reactor Relea
阅读完整原文

项目深度分析 规则生成(AI 未配置)

综合评分 59.1 分。该项目在“个人可实施性”维度得 15 分,“付费可能性”维度得 60.0 分,差异化空间 100.0 分(评分依据见评分卡)。

将 stream-reactor 改造为垂直场景 SaaS

产品构想保留核心能力,针对某一类用户(如某行业团队)做托管版,收取月费。
目标用户有该需求的中小团队 / 独立站长
难度/周期较高 · 2~4 周(MVP)
收费模式订阅制(如 ¥29~99/月)
竞争风险需验证付费意愿;注意许可证合规
依据 数据支持的判断:许可证与关键词显示存在商用与付费场景

面向细分需求的二次开发产品

产品构想基于 stream-reactor 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。
目标用户该细分场景用户
难度/周期中 · 2~6 周
收费模式买断制 / 订阅制 / 广告
竞争风险细分需求规模需验证
依据 AI 推测:基于项目主题标签的判断
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心

竞品与相似项目 GitHub Search 真实检索

相似项目数据正在完善中,暂不展示(避免误导)

项目优势与风险

技术成熟度创建时间待补全,最近推送 ,发布过 100 个 Release
社区活跃Star 1,070 / Fork 0 / Issue 0(数据支持,可自行核实)
许可证未检测到(需人工确认)
主要风险上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价

安装与使用

此项目未提供 Docker 镜像,安装步骤以原仓库 README 为准(涉及依赖安装与环境配置,对新手门槛较高)。