基于事件的分析包,不会让大量资金倾家荡产
我正在使用一个交互性很强的应用程序,现在需要一个真正的分析解决方案。我们每月生成大约 25-300 万个事件(并且还在不断增长),并希望构建报告来分析用户群体、漏斗等。这些报告足够标准,因此使用现有服务似乎是可行的。
然而,考虑到数据量,我担心使用像 MixPanel 这样的托管分析解决方案的成本很快就会变得非常昂贵。我还研究过构建具有离线后台进程的传统星型数据仓库(我对数据仓库知之甚少)。
这是一个带有 PostgreSQL 后端的 Ruby 应用程序。
为了回答这些问题,我有哪些选择(构建和购买)?
I'm using an application that is very interactive and is now at the point of requiring a real analytics solution. We generate roughly 2.5-3 million events per month (and growing), and would like to build reports to analyze cohorts of users, funneling, etc. The reports are standard enough that it would seem feasible to use an existing service.
However, given the volume of data I am worried that the costs of using a hosted analytics solution like MixPanel will become very expensive very quickly. I've also looked into building a traditional star-schema data warehouse with offline background processes (I know very little about data warehousing).
This is a Ruby application with a PostgreSQL backend.
What are my options, both build and buy, to answer such questions?
如果你对这篇内容有疑问,欢迎到本站社区发帖提问 参与讨论,获取更多帮助,或者扫码二维码加入 Web 技术交流群。
绑定邮箱获取回复消息
由于您还没有绑定你的真实邮箱,如果其他用户或者作者回复了您的评论,将不能在第一时间通知您!
发布评论
评论(1)
为什么不建立自己的呢?
以这个开源项目为例:
http://www.warefeed.com
这是非常基础的,你会必须构建您的案例所需的数据集市功能
Why not building your own?
Check this open source project as an exemple:
http://www.warefeed.com
It is very basic and you will have to built datamart feature you will need in your case