[bleonard]

We were on Hacker News a few months back. Since then, developers have been using the UI to set up automated data movement from their databases to Mailchimp, Marketo, Salesforce, and more.

But we also heard that they wanted it more like their normal development workflow. So we now make it even easier to sync data to cloud-based tools via declarative data models and integrations. With this, you manage data sync just like you would any other part of your stack and Grouparoo takes care of getting the right data to the places you want.

We’re excited and around to answer any questions. - comments here - Slack: https://www.grouparoo.com/chat - Email: brian at grouparoo.com

[psadri]

What are some of the typical scenarios you have seen? Any unusual sources? How do you handle custom sources or destinations?

[bleonard]

There are usual suspects for sources. Databases (MySQL, Postgres) and data warehouse (Snowflake, BigQuery, RedShift).

Though data out is more common, we can also bring in data from any given SaaS tool as well. For example, we have a Mailchimp _source_ that will pull in people as they signup through their form.

There is a plugin model and a few Typescript interfaces to implement to be either a source or a destination.

[psadri]

Is it possible to pipe data through some intermediate processing step? Say to normalize it? Or is it always source directly connected to an output?

[bleonard]

We can use any query to bring in and are considering various ways to process it after that. That's in the near term roadmap.

The main kind of "processing" that's done now is using all these properties to calculate cohort membership (High Value users) so that all these tools can use it: Zendesk to route tickets, Marketo to trigger a campaign, even the product to change their dashboard.