NoSQL

topic on 3 shows · 7 statements across 6 episodes · said 1 times in 1 episodes since 2016

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2016 1 mention in 1 episode

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7 statements about NoSQL, every show

Framing AI agents as the future and apps as the past is mistaken
“It's very similar to what's happening right now with apps and agents. How do you bring apps and agents together as opposed to just talk about the future, which is agents, and the past, which is apps. You know, there was a time when SQL was being looked at in t…”
Dheeraj Pandey Nov 3, 2025 ▶ 3:22 He built a $20B public company, left—then raised a $100M Series A. | Dheeraj Pandey, Founder of N... · PMF Show
Pokrass: Every successful company eventually outgrows Postgres for NoSQL
“At some point, every company gets the scale, every successful company gets the scale where Postgres is not cutting it. And then you migrate to some sort of NoSQL database.”
Michelle Pokrass Sep 17, 2024 ▶ 5:49 Building AGI with OpenAI's Structured Outputs API
MAD Assertion Supported
Early NoSQL database versions abandoned strong transactional consistency
“Strong consistency in transactions, and those are things that were dropped in the early versions of NoSQL.”
Spencer Kimball Oct 17, 2018 ▶ 0:51 Ultra-Resilient SQL for Global Business // Spencer Kimball, Cockroach (FirstMark's Data Driven NYC)
MAD Assertion Partly supported
CockroachDB combines NoSQL elastic scalability with SQL strong consistency
“So, you know, Cockroach bridges the gap. It's both of those things. It has both of those things, and it doesn't compromise.”
Spencer Kimball Oct 17, 2018 ▶ 0:57 Ultra-Resilient SQL for Global Business // Spencer Kimball, Cockroach (FirstMark's Data Driven NYC)
MAD Assertion Contradicted
SourceForge adopted MongoDB before the term NoSQL was introduced
“That was actually before the term NoSQL, I believe, by about a month or two.”
Eliot Horowitz Mar 18, 2016 ▶ 4:46 A Fireside Chat With MongoDB CTO Eliot Horowitz (Data Driven NYC / FirstMark)
MAD Insight
Gislason: Hadoop and NoSQL are poor for quantitative data aggregation
“Actually we found that Hadoop and most, kind of, no, no SQL solutions are not very good for, kind of, quantitative data when you need to aggregate and, kind of, go across these things.”
Hjalmar Gislason (Halmar) Dec 5, 2013 ▶ 11:31 Panel discussion // Data Driven NYC #9 // Nov 2012
MAD Insight
Merriman: NoSQL databases omit distributed joins to enable horizontal scaling
“Distributed joins is a hard problem, so the solution that's been chosen by both us with Mongo and the other NoSQL products is to say, you know, we're not going to do joins”
Dwight Merriman Dec 5, 2013 ▶ 3:23 Fireside chat with Dwight Merriman // Data Driven #8 // Sep 2012 (interviewed by Matt Turck)

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