63. Snowflake Databricks Olympics, GenAI ROI Questions, Perplexity Review

In this week’s episode of theCUBE Pod, industry analysts John Furrier and Dave Vellante delve into the fierce competition between Snowflake and Databricks, focusing on their distinct strategies and market positions. Vellante highlights Databricks' faster growth and its cleaner revenue model, contrasting it with Snowflake's integration of AWS revenue.
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Their discussion also explores the open-source strategies of both companies, with Snowflake's Polaris Catalog and Databricks' acquisition of Tabular. The conversation shifts to the future of generative AI, noting the significant investments and emerging use cases shaping the industry. Tune in to the latest episode for an in-depth analysis of these tech giants and the evolving AI landscape.
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This Week in Enterprise:
AI everywhere: Apple finally makes a splash, the data wars intensify and the big bucks still keep rolling in
It wasn’t exactly on the scale of the introduction of the iPhone or even the iPod, but Apple this week managed to make a credible splash in artificial intelligence.
Much of Apple Intelligence is on the come, and you’ll need a newer iPhone to get the features, but as usual Apple managed to make an emerging technology approachable and show how it will be useful. We’ll see if it delivers, but investors already gave it credit, boosting its stock more than 7% in recent days.
Deeper into the AI weeds, Databricks held its Data + AI Summit, following Snowflake’s Data Cloud Summit last week in the same Moscone Center in San Francisco. The upshot: The privately held company, on the list of top candidates to go public this year, sought to negate the knotty data format wars and expand its appeal beyond data scientists, but as CEO Ali Ghodsi (pictured) admitted, such battles will continue “until the sun burns up.”
Meanwhile, the money vacuum in AI keeps sucking in billions, as Mistral and AlphaSense each raised about $650 million this week. But revenue is coming in too: $2.4 billion in the first half for Databricks, $3.4 billion since last year for OpenAI, and AI drove upside earnings this week at Oracle, Broadcom, Rubrik and Adobe.
Pat Gelsinger’s comeback plan for Intel hit a rough patch as it delayed a $25 billion fab in Israel. Meantime, Samsung, the No. 2 foundry Intel aims to catch, just outlined its new two-nanometer chipmaking process.
Microsoft admitted its security problems and promised to do better, and it started by putting off the introduction of its much-criticized Recall online activity tracking feature. Elsewhere on the cybersecurity front this week, at its re:Inforce conference Amazon Web Services outlined a bunch of new AI-driven security features. Meantime, consolidation chugs on as Fortinet bought Lacework apparently for a song.
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People mentioned in this podcast:
Lou Gehrig, former professional baseball first baseman
Ali Ghodsi, co-founder and CEO of Databricks
Sridhar Ramaswamy, CEO of Snowflake
Michael Scarpelli, CFO of Snowflake
Matei Zaharia, co-founder and CTO of Databricks
Ryan Blue, co-founder and CEO of Tabular
Matt Baker, SVP of activating AI strategy at Dell Technologies
Mark Albertson, senior writer at SiliconANGLE
Dave Linthicum, enterprise technology analyst at SiliconANGLE - theCUBE Research
Jeremy Burton, CEO of Observe
Charlie Kawwas, president at Broadcom
Jensen Huang, founder and CEO at Nvidia
Rob Strechay, principal analyst at theCUBE Research
George Gilbert, principal analyst, data and AI at theCUBE Research
Savannah Peterson, founder and chief unicorn at Savvy Millennial and host of theCUBE
Frank Slootman, chairman of the board of directors at Snowflake
Benoit Dageville, co-founder and president of product at Snowflake
Bill Walsh, former NFL coach
David Floyer, analyst emeritus at theCUBE Research
Hock Tan, president and CEO of Broadcom
Gee Rittenhouse, VP at Amazon Web Services
Mark Terenzoni, GM of security services at AWS
Merritt Baer, CISO of Reco AI
Holger Mueller, VP and principal analyst at Constellation Research
Bob O'Donnell, president, founder and chief analyst at TECHnalysis Research
#theCUBE #theCUBEPod #theCUBEResearch #Snowflake #Databricks #AWS #PolarisCatalog #Tabular #AI

[@riffsoffov9291]

Do they ever talk about Palantir?

[@AlohaTimes]

How does Databricks know who top 8 of 10 Snowflake customers are? Data privacy alert

[@dy47287]

according to Databricks

[@jimmyhuang7419]

Wanna hear more insight of competition between SNOW and DB; not just current situation but the future. Will snowflake AI strategy (AI app platform) have chance to catch up DB because AI competition is just start. Hard to say current DB's AI strategy will be the final winner especially SNOW is just presenting their AI tool and platform.

[@Crest22]

So much contradiction in the first 15 minutes. So you say that Snowflake is telling you they don't mark up AWS costs by much but then you say they definitely do by a lot somewhere else in the product costs but when talking about Databricks marking up serverless costs you say they don't or maybe by a little; trusting the private vs public company. And you don't state how much revenue Snowflake incurs from storage but say they must be really close to Databricks total revenue. Then, you say that it's obvious Snowflake is too expensive for Data Engineering and ML compared to Databricks but you talked to a bunch of Snowflake customers at their summit that said that it's not true while also stating you are seeing an uptick in ML workloads. What is the agenda here and what is the truth?