Snowflake

includes Snowflake Arctic, Snowflake Summit

7 statements across 4 episodes · 4 bullish · 1 bearish · 4 people on the record · first statement Feb 19, 2024 by Erik Bernhardsson · said 38 times in 14 episodes since 2024 · across every show →

Mentions by year, the whole family

brought up most by Ankur Goyal (11), Shawn Wang (6), Swix (Shawn) (4), Erik Bernhardsson (4), Joubin Mirzadegan (3), Sarah Catanzaro (2), Simon Eskildsen (1), Samuel Colvin (1)

tap a year for its mentions
00103205202420252026episodesmentions
035202420252026episodes it came up in
002.52.555202420252026episodesmentions per episode
2026 9 mentions in 5 episodes 2 per episode
2025 9 mentions in 5 episodes 2 per episode
2024 20 mentions in 4 episodes 5 per episode

every mention, scene by scene, with the transcript →

Everything said about Snowflake, oldest first

Feb 19, 2024 positive
Insight
Snowflake Proved Layer-Two Clouds Can Win on Developer Experience
“And I think Snowflake, you know, to me won because like, I mean, in the end, like AWS makes all the money anyway, like, and like Snowflake just had the ability to like focus on like developer experience or like, you know, or user experience. And to me, like re…”
Erik Bernhardsson Feb 19, 2024 ▶ 34:45 Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal
Oct 11, 2024 neutral
Assertion Not checkable as stated
Goyal: Observability Giants Built Custom Databases Because Packaged DBs Ignored Variant Types
“My conclusion is that this is a very real problem for a very small number of companies, and that is why Datadog, Splunk, Honeycomb, et cetera, built their own database technology, which is, in some ways, it's sad because all of the technology is a remix of pie…”
Ankur Goyal Oct 11, 2024 ▶ 1:47:01 Production AI Engineering starts with Evals
Oct 11, 2024 negative
Assertion Supported
Goyal: DuckDB struct type lacks true dynamic variant schema flexibility
“DuckDB has a struct type, which is dynamically constructed, but it has all the downsides of traditional structured data types, right? So it's just not Like, for example, if you create, if you infer a bunch of rows with the struct type, and then you present the…”
Ankur Goyal Oct 11, 2024 ▶ 7:30 Production AI Engineering starts with Evals
Oct 11, 2024 positive
Opinion
Goyal: Snowflake's VARIANT is the best semi-structured data implementation
“It is, without any question, at least in my experience, the best implementation of semi-structured data and sort of solves the problem of storing it very, very efficiently and querying it efficiently, almost as efficiently as if you specified the schema exactl…”
Ankur Goyal Oct 11, 2024 ▶ 6:03 Production AI Engineering starts with Evals
Oct 11, 2024 positive
Opinion
Goyal: Observability products would ideally run on Snowflake's VARIANT type
“And I think every observability product in some sort of platonic ideal would be built on top of Snowflake's variant implementation. And have better performance. It would be cheaper. You know, the customer experience would be better. But, you know, alas, it's j…”
Ankur Goyal Oct 11, 2024 ▶ 6:44 Production AI Engineering starts with Evals
Dec 30, 2025 neutral
Insight
Catanzaro: Built-In Catalog Features in Snowflake and dbt Were Good Enough
“Many of these products offered kind of like data cataloging capabilities as a feature. And I think for humans, that was good enough. Like the data catalog that you had available in Snowflake was good enough. The data cataloging capabilities available in dbt, l…”
Sarah Catanzaro Dec 30, 2025 ▶ 6:50 [State of AI Startups] Memory/Learning, RL Envs & DBT-Fivetran — Sarah Catanzaro, Amplify
Jun 24, 2026 positive
Insight
Zaharia: Scaling down from bulk ingestion to serving is easier than scaling up
“It turned out that, you know, it's easier to go from that bod thing that's really good at the scale and ingesting and super low cost and create versions in it that have the speed and features of the, you know, super easy to use, like smaller data for business …”
Matei Zaharia Jun 24, 2026 ▶ 55:55 The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
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