[mythbuster]

Hey Etai and team, Congrats on the launch! I’m so glad to see several teams trying to tackle this hard problem of complexity in the modern data stack.

I’m Shirshanka, the founder of the DataHub project, occasional responder to HN threads and reachable at https://slack.datahubproject.io :)

I wanted to respond to some of the text here since DataHub and Acryl Data was directly mentioned.

1. We’ve heard repeatedly from the community that DataHub quickstart just works in 5 mins or less (besides a current known issue with M1: thanks Apple!). Once people are able to show value with the quickstart and the pre-packaged connectors that connect upto 20+ systems, they quickly move towards a deployment model based on helm, that is open source and maintained by the Acryl team. All of this requires no code. Deploying DataHub using the provided helm charts is also quite easy based on what we’re hearing from the community.

2. Acryl Data is reimagining what a data catalog can do, data discovery, data observability and federated data governance. We believe that techniques like semantic knowledge graphs are only useful and reliable if they are built on top of a live and fresh operational metadata graph. Also we see ourselves not just as an “end user tool”, but as a central fabric through which metadata is stored, and transformed before integrating in other tools. As a result we are intentionally, API-first and stream-first.

3. We already offer the open source DataHub demo at https://demo.datahubproject.io. People talk to Acryl Data after they have already tried out the open source product and they are looking for a managed version that has more to offer.