Databricks co-founder Reynold Xin reflects on enterprise software go-to-market challenges and the behavioral differences between tech startups and traditional corporate customers.
“One of the challenges I think we probably see, and maybe many newer generation companies are seeing is, so tech companies are very, very different from non-tech companies or traditional enterprises. And if you optimize everything just for tech companies, you might have various challenges scaling them outside of tech companies.”
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More from Reynold Xin
Opinion
Xin: Vector databases should never have been a separate category
“Vector database should have never been a separate category.”
Reynold XinJun 24, 2026▶ 52:32The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
Insight
Xin: Single HTAP database engines compromise ecosystem compatibility and performance
“This is sort of the holy grail of database engineering is, why not build a single system that can do both of this? But it ends up just being a lot of compromises. And one, I think one of the first issue is that, hey, each, they say Postgres has a massive ecosy…”
Reynold XinJun 24, 2026▶ 32:30The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
Insight
Xin: Unifying storage delivers 99% of HTAP database benefits
“HTAP wants to build a single engine for both. We think you can get 99% of what you need by unifying the storage and just have a single storage layer.”
Reynold XinJun 24, 2026▶ 33:16The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
AssertionSupported
Xin: Transcoding database rows to Parquet speeds object storage writes with zero compromise
“And as a matter of fact, once you transcode the data compresses better. So from those services writing to, for example, S three or other data lake, like object stores, you can actually write them faster because now they are now smaller. So there's no. Overhead…”
Reynold XinJun 24, 2026▶ 36:50The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
Insight
Xin: Overfitting to Initial Customers Has Far Lower Downside Than Boiling the Ocean
“I think the industry has a sense of, hey, maybe if you overfit to like one or two customers, it's going to be really bad for you. But I think the downside overfitting is much smaller than the upside itself. And if you sort of try to be too ambitious and boil t…”
Reynold XinJun 24, 2026▶ 41:55The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
PredictionNot checkable as stated
Xin: Much of traditional software will be rewritten with data and agents
“Actually, I think many of the traditional software will be sort of rewritten with this new paradigm, which is just get the data to be there. And then they slap some agent on top.”
Reynold XinJun 24, 2026▶ 1:07:44The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
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