Not five years, but this year itself
Yes, RudderStack has all Segment fratures and a good replacement of the same. I never knew if Matomo has GTM functionality, I thought it is more like Google Analytics.
thanks for suggesting sqlmesh. regarding arrow, have you read this - https://arrow.apache.org/docs/format/Columnar.html
Have you tried Datavault YouTube channel?
Created !dataengineering
Welcome to the community, want to join the mod team?
Fellow data engineers, looking forward to your contribution/participation to the communiy. If you want to help in managing the community, get in touch to join the team
Glad to help. Can't wait to see you purge that last piece of Google code.
RudderStack - An Open-Source alternative to Google Tag Manager
Privacy and Security focused Segment-alternative, in Golang and React - GitHub - rudderlabs/rudder-server: Privacy and Security focused Segment-alternative, in Golang and React
![GitHub - rudderlabs/rudder-server: Privacy and Security focused Segment-alternative, in Golang and React](https://lemmy.ml/pictrs/image/9fedb2cb-e202-42b5-82e0-c484828f72dd.jpeg?format=webp&thumbnail=256)
With recent GA4 migration, my friends are exploring better ways to integrate various essential website scripts(e.g. product analytics, crash reporting, advertising, customer engagement, etc.). Google Tag Manager (GTM) is one solution.
RudderStack is a mature Open-Source alternative to GTM that can be self-hosted and has similar functionality i.e. load various product scripts without changing code and send events to desired destinations
Top 5 reasons to replace GTM with RudderStack
- You get full-control of your customer data while making the site/app load faster as you don't have to load multiple scripts
- As you can load and manage scripts via a central dashboard, it becomes easy, quick, and less error prone to replace any particular script with its alternative e.g. replacing Google Analytics (GA) with GA4 or Mixpanel
- It is OSS and not owned by Google
- Tranformations: Transform the events(using your own JS/python code) the way you want before reaching the destination e.g. remove personally identifiable information, enrich event data with some 3rd party information
- Can send customer data from website and mobile apps(using RudderStack SDKs) to warehouses(Postgres, S3, Redshift, Sbowflake, Bigquery, etc.) and 200+ destinations
More details on GitHub repository - https://github.com/rudderlabs/rudder-server
Ask me anything
RudderStack, a headless customer data platform. With RudderStack, you can bring all your customer data/events from to a single warehouse in real time. You can then send the unified data to 200+ destination for user anaytics and personalization. You can do so in a privacy-focused manner using data transformation feature to mask/delete PII/sensitive data
Source code : https://github.com/rudderlabs/rudder-server License : AGPLv3
quite interesting. never heard of such project before. are there any other purely software based solutions?
yay! my first post on Lemmy
#OpenSourceDiscovery 78 - ntfy.sh, send notifications from cli/api/app
Open-Source alternative to Pushbullet (Not Amazon SNS)
![#OpenSourceDiscovery 78: ntfy.sh](https://lemmy.ml/pictrs/image/38fe2887-7709-46fc-9809-983dcc2f1d8d.jpeg?format=webp&thumbnail=256)
This week's issue of newsletter - #OpenSourceDiscovery covered… ntfy.sh
> A simple HTTP-based pub-sub service to send notifications to your phone or desktop via scripts from any computer
📺 Demo: https://docs.ntfy.sh
👨💻 Source: https://github.com/binwiederhier/ntfy
🛠 Stack: Go, Javascript, FCM, Amazon SES, UnifiedPush
👑 Author: Philipp C. Heckel
🛡 License: GPLv2
💖 What I like:
- Easy self-hosting thanks to plenty of installation options and minimal configurations required to get started
- Ability to attach files to notifications enables a huge number of use cases for this service
👎 What I dislike:
- Good for personal use case (when I as an end-user want to get notifications) but better tools are available for developer use case (when I want to send notifications from my app to users at scale)
Note: This is a summary of this full post
What are your thoughts?