really excited to see what everyone will do with atlas! we really improved the agentic capabilities, both in terms of performance and speed of execution— definitely a step function improvement
There's something so mind-blowing about being able to run some code on my laptop and have it be able to literally talk to me. Really excited to see what people can build with this
My take is you should always just store any third-party data sources in your data warehouse, where you can then join it with all the other data. Having a feature like this just enables bad practices, and we'd rather be opinionated about how the data stack should look.
Since this is the "best practice" architecture, we've made the decision to focus on integrations with data warehouses specifically— Snowflake, BigQuery, etc. I don't think Chartbrew has these.
Fabra is built for the modern data stack, meaning our customers already send all of their data to a central data warehouse as their single source of truth.
It looks like Chartbrew connects to various third-party tools directly, which can lead to silos/discrepancies in our experience.
We aren't a data warehouse, just the query-building and visualization layer. We let product teams easily do things like build funnels, measure trends, and more with the data they've already collected.
Hi everyone! I wanted to share Fabra— product analytics for the modern data stack. Fabra runs directly on your data warehouse, meaning we don't add another data silo or need you to setup costly ETLs.
In addition to self-hosting our open source product, we also offer a hosted version which is WAY cheaper than other tools since we don't store any data.
Let us know if you have any feedback, you can always reach me at [email protected]
I think these interviews test whether or not you're willing to work hard-- you can't just use critical thinking to get the answer, you actually need to study to learn all the tricks. That's an important characteristic to screen for imo.