Rudderstack VS dagster

If CDP(such as RudderStack) were a restaurant, then Data Integration is the guy that gets all raw ingrediants from different shops and makes it available to Chef that sorts and combines raw ingrediants to make a dish. The chef can't cook anything without raw ingrediamt. Similarly Data Integration is also an important component in CDP that collects customer data from various sources and them other components unify it and activate it.

More details on GitHub repository - https://github.com/rudderlabs/rudder-server

Are you RudderStack?

In bigger setups, all you want is a data collector and router so that you can feed the data into multiple destinations, depending on the use case. Analytics is just one. Example: https://www.rudderstack.com/ & https://www.rudderstack.com/replace-google-analytics-4-guide...

Check out RudderStack, a Go project to build data pipeline. Our slack is quite active. The best way to contribute is by creating a new integration with your favorite tool. You do not need to rely to too much on existing knowledge about inner workings of the project to do so, so it is beginner friendly.

Interesting. About "Redshift need google sheet sync to table", wouldn't this be more aligned with the responsibility of a CDP(such as RudderStack) as opposed to something we expext a warehouse to do?

The challenge is over. Winners have been announced. When we are ready for the next one, will announce on RudderStack GitHub repo

Super. This is amazing. Sharing your project with the community. If you get a chance, try out RudderStack to build your pipeline.

My recommendation is to continue on with the tutorial, then look at one of the larger example projects especially the ones named “project_”, and you should understand most of it. Of what you don't understand and you're curious about, look into the relevant concept page for the functions in the docs.

I found this example that helped me - https://github.com/dagster-io/dagster/tree/master/examples/project_fully_featured/project_fully_featured

I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home

In Helm terms: there are 2 charts, namely the system: dagster/dagster (values.yaml), and the user code: dagster/dagster-user-deployments (values.yaml). Note that you have to set dagster-user-deployments.enabled: true in the dagster/dagster values-yaml to enable this.

Dagster seemed really cool when I looked into it as an alternative to airflow. I especially like the software defined assets and built-in lineage which I haven't seen in any other tool. However it seems it does not support RBAC which is a pretty big issue if you want a self-service type of architecture, see https://github.com/dagster-io/dagster/issues/2219. It does seem like it's available in their hosted version, but I wanted to run it myself on k8s.

Dagster? https://dagster.io

One that I haven't seen on here yet: dagster