How AWS Became a Victim of Its Own Success

How AWS Became a Victim of Its Own Success

AcquiredOct 29, 20224m

David Rosenthal (host), Ben Gilbert (host)

Snowflake vs. Redshift dynamicsVictim-of-success product constraintsEnterprise trust, security, and SLA overheadFighting Oracle as the “last battle”Developer experience and opinionated defaultsAWS service sprawl (“alphabet soup”)Shift to vertical solutions and guardrails

In this episode of Acquired, featuring David Rosenthal and Ben Gilbert, How AWS Became a Victim of Its Own Success explores aWS’s rare misstep: data warehousing and product sprawl challenges The hosts argue that despite AWS’s exceptional track record, it notably missed the modern cloud data warehouse opportunity that Snowflake capitalized on.

AWS’s rare misstep: data warehousing and product sprawl challenges

The hosts argue that despite AWS’s exceptional track record, it notably missed the modern cloud data warehouse opportunity that Snowflake capitalized on.

They frame Snowflake’s rise as evidence that Redshift didn’t fully meet developer expectations out-of-the-box, partly due to AWS’s scale-driven constraints around security, operations, and SLAs.

They also suggest AWS built Redshift to fight the “last battle” (Oracle-style warehouses moved to cloud) rather than serving a newer customer segment with different needs.

Finally, they discuss AWS becoming “alphabet soup” with too many services, prompting a shift toward clearer vertical solutions and guardrails to reduce customer confusion—while AWS still dominates revenue and operating income.

Key Takeaways

Snowflake’s success highlights a rare AWS product miss.

The hosts call data warehousing potentially AWS’s “biggest failure,” noting Snowflake became a ~$50B standalone company while running largely on AWS infrastructure.

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AWS’s enterprise-scale obligations can slow product elegance.

As a “trusted partner” to IT departments, AWS must meet extensive security, operational, and SLA commitments, which can hamper shipping an intuitive, opinionated product quickly.

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Developer-first defaults can beat customizable infrastructure.

They argue Redshift often requires significant customization, while Snowflake is compelling “out of the box,” echoing the early AWS playbook of delighting individual developers.

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Redshift was positioned for legacy migration, not new segments.

Citing Ben Thompson, they suggest AWS aimed Redshift at “Oracle-style” warehouse replacement, while many Snowflake customers wouldn’t have been Oracle customers at all.

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AWS’s breadth became confusing as service count exploded.

The “two-pizza team” model produced many services without a cohesive strategy, making the console and branding feel overwhelming and hard to navigate.

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AWS is shifting messaging from features to solutions.

They observe keynotes moving away from celebrating dozens of new features toward pitching industry vertical solutions, case studies, and clearer “what to do” guidance.

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Market leadership cushions the impact of these weaknesses.

Even with missteps and cleanup efforts, AWS’s revenue and operating income leadership makes the strategy hard to challenge in aggregate.

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Notable Quotes

Data warehouses. How is Snowflake its own fifty billion dollar company?

Ben Gilbert

It’s probably AWS’s biggest failure, and the question is, why?

Ben Gilbert

They’re a victim of their own success on this front.

Ben Gilbert

It’s right there in the name. They’re fighting Oracle. They’re fighting the last battle with Redshift.

Ben Gilbert

AWS has kind of been Alphabet soup.

Ben Gilbert

Questions Answered in This Episode

What specific “out-of-the-box” developer experiences did Snowflake nail that Redshift historically made harder or more customizable?

The hosts argue that despite AWS’s exceptional track record, it notably missed the modern cloud data warehouse opportunity that Snowflake capitalized on.

Get the full analysis with uListen AI

How did AWS’s security/SLA/operational requirements concretely slow or constrain Redshift’s product design compared to a smaller, focused company?

They frame Snowflake’s rise as evidence that Redshift didn’t fully meet developer expectations out-of-the-box, partly due to AWS’s scale-driven constraints around security, operations, and SLAs.

Get the full analysis with uListen AI

In what ways did Redshift’s positioning as an “Oracle-style warehouse in the cloud” limit its appeal to emerging analytics customers?

They also suggest AWS built Redshift to fight the “last battle” (Oracle-style warehouses moved to cloud) rather than serving a newer customer segment with different needs.

Get the full analysis with uListen AI

Which AWS internal incentives (two-pizza teams, service launches, metrics) most contributed to the ‘alphabet soup’ problem?

Finally, they discuss AWS becoming “alphabet soup” with too many services, prompting a shift toward clearer vertical solutions and guardrails to reduce customer confusion—while AWS still dominates revenue and operating income.

Get the full analysis with uListen AI

What would a more cohesive AWS data warehousing strategy have looked like—better Redshift, a separate new product, or an acquisition?

Get the full analysis with uListen AI

Transcript Preview

David Rosenthal

This has been an AWS love fest. We've heaped so much praise on them. It's like they've done everything right. It's amazing. There's one thing they missed. Ben, do you want to tell us about it?

Ben Gilbert

Data warehouses. How is Snowflake its own fifty billion dollar company?

David Rosenthal

Unbelievable.

Ben Gilbert

It stores data in AWS and other public clouds, and it is its own fifty billion dollar company. And what Amazon would tell you is, "We have Redshift, and it's one of the fastest growing Amazon services ever, and it's doing really well." But you know, the databases team at Amazon, that whole org has to be very, very unhappy that Snowflake managed to, I mean, run the gauntlet on the data warehouse market.

David Rosenthal

It's crazy that AWS did not do this. [chuckles]

Ben Gilbert

It's probably AWS's biggest failure, and the question is, why? And I think there's a few areas. One is just big company stuff. I think before launching something, when you're at Amazon's scale, and now that they are the trusted partner of all these IT departments, you've got these security things, operational things, SLA guarantees that they're fully committed to, and I think it hamstrings your ability to really streamline a product, be opinionated, and get something to market that's both fast and intuitive and built for the user. I think Redshift requires a lot of customization, whereas Snowflake is awesome for developers out of the box. And it's funny that the playbook that Snowflake ran is pretty similar to the playbook that AWS ran when they were just S3 and EC2, serving individual developers. So there's a little bit of, like, they're a victim of their own success on this front. The other one is, Ben Thompson pointed this out in a piece that we'll link to in the show notes. It's right there in the name. They're fighting Oracle. They're fighting the last battle with Redshift. It's: Hey, take your Oracle-style data warehouse and basically do that in the cloud, rather than... Lots and lots of Snowflake customers never would have become Oracle customers. It was a different customer segment with a different set of needs. I mean, it's just a fantastic product, and that's not really who Amazon was serving. And there's new leadership there now, and they're getting the house in order, and I think they recognize this, but this was a whiff.

David Rosenthal

Yeah. Big, big whiff. Probably not a whiff on the order of-

Ben Gilbert

Microsoft and Google whiffing on cloud?

David Rosenthal

Yes.

Ben Gilbert

Yeah. It's an order of magnitude or two smaller.

David Rosenthal

So AWS, we're gonna do analysis now, do grading. There's no way this isn't gonna be a very high grade, but, like, if there's a black mark, this is it.

Ben Gilbert

The other thing where they're sort of a victim of their own success is, you know, the Amazon two pizza team thing led them to launch all these different services. Rather than having a cohesive product strategy, AWS has kind of been Alphabet soup, and I haven't logged into the AWS dashboard in a while, but it used to just be so overwhelming. So many amorphous logos that all kind of feel like the same thing, where it's hard to disambiguate between two things. And I think Amazon realizes this because their keynotes now seem to be much more about pitching these vertical solutions. Like: Here's this thing for this industry, here's a vertical solution, here's case studies of other people in your industry, rather than first presenting you with, "We have four hundred and seventy-six services." And I think that in the keynotes, they've also really dialed back on what used to be the drumbeat of the keynote, which is, "We launched what we consider to be seventy-four significant features this year, and we're excited to tell you all about them." I think that won for a long time, and now it's created so much confusion for customers that that's actually, like, the bull case for a Google, who is sort of a newer entrant, who's coming in with a more cohesive product strategy and can help customers really understand what they should be doing, rather than being like, "Hey, there's no guardrails. Good luck." And AWS keeps launching even more new services now to provide those guardrails and say, "Well, if you use whatever, whatever manager, then you can't get yourself into too much trouble." And it's like, "Oh, cool, a thirteenth standards body." [chuckles] They definitely have a little bit of that cleanup effort going on now, but hey, they got market leadership, and they make far more revenue and far more operating income than anyone else, so it's hard to argue with.

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