Databricks Launches LTAP: A Unified OLAP/OLTP Data Architecture
databricks.com
databricks.com
Look, this announcement seemed exciting, but I'm significantly less excited when I come across a completely unrelated tie-in to AI.
It breaks the illusion, and I'm reminded that it's just another PR announcement, and this is probably not going to impact my life at all in any way ever. So I'm off to the next article instead of reading any more.
From the sound of it this is just another slight point of friction being removed and we’ll be able to run applications directly against “Postgres in databricks” with no need for ETL between the data and our business chat layer.
Nothing revolutionary, sure. But I have to admit I’m still getting used to the fact that we don’t need anyone developing analytical dashboards or designing sql queries for reports or investigations because you can just ask to get exactly the insights you want and everything gets done by AI, and this is just another step supporting that as the default desire path when building on databricks.
How can there be no performance trade-off if storage is handled by PostGres and there is no data movement to convert it to columnar ? This deserve a technical explanation because this seems impossible.