Conor McCarter
Co-founder at Prequel
This goes back to what we were saying earlier about the difference between the analytics versus the transactional use cases.
For analytics use cases, real-time doesn't seem to be a huge issue for data teams. If the data's going to end up in a report or a dashboard or a query in some sort of ad hoc analysis, a 15-minute delay is totally fine.
That said, when you get into some transactional use cases that straddle the line between what is transactional and what is an analytics query, I think there are specific use cases that are difficult without the real-time focused data warehouse that you were mentioning.
The Drizly team put out a really interesting article about a use case that they had that could not be met by their existing data warehouse for cart abandonment notifications.
For that, they actually had to find a specific, real-time focused data warehouse for that use case in particular.
There is a smattering of those use cases where you do need something that's a little bit more focused on the real-time problem, but what we're hearing from the market is that for almost all use cases, a few minute delay is totally fine.
Fivetran automates data extraction and replication from cloud applications, databases, and other sources into data warehouses.
Prequel helps SaaS vendors write their own native data warehouse integrations.