This past week, we saw two of the “Big 3” cloud providers present an update of their respective cloud visions, business progress, announcements and innovations. The content at these events had many overlapping themes including modern cloud infrastructure at global scale, applying advanced machine intelligence, end-to-end data platforms, the future of work, automation and a taste of the metaverse/Web 3.0. And more. 

Despite the striking similarities, the differences between these two cloud platforms, and that of AWS, remain significant, with Microsoft leveraging its massive application software footprint to dominate virtually all markets, and Google doing everything in its power to keep up with the frenetic pace of today’s cloud innovation which was set into motion a decade and a half ago by AWS. 

In this Breaking Analysis, we unpack the immense amount of content presented by the CEOs of Microsoft and Google Cloud at Microsoft Ignite and Google Cloud Next. We’ll also quantify with ETR survey data, the relative position of these two cloud giants in four key sectors – Cloud IaaS, BI analytics, data platforms and collaboration software. 

Hybrid Events are the Thing

Google Cloud Next took place live over 24 hours in six cities around the world with the main gathering in NYC. Microsoft Ignite, normally attended by 30,000 people, had a smaller event in Seattle with a virtual audience around the world. AWS re:Invent, of course, is much different. Yes, there’s a virtual component, but it’s all about a big live audience gathering. 

Regardless, Satya Nadella’s keynote address was pre-recorded, highly produced and substantive. It was visionary, energetic with a strong message that Azure was a platform to allow customers to build their digital business – doing more with less was a key theme. 

Infrastructure at Scale Transcending Azure with Arc

Nadella covered a lot of ground. Starting with infrastructure from the compute, highlighting a collaboration with Arm-based Ampere processors, new block storage, 60 regions and 175,000 miles of fiber cables around the world. He presented a meaningful multicloud message with Azure Arc to support on-prem & edge workloads and talked about confidential computing at the infrastructure level. A theme we hear from all cloud vendors. 

Data

He then went deeper into the end-to-end data platform that Microsoft is building from the core data stores to analytics to governance and the myriad tooling Microsoft offers. 

AI & Automation

AI was next with a big focus on automation, AI, training…Nadella showed demos of machines coding and debugging code…machines automatically creating designs for creative workers and how Power Automate, Microsoft’s RPA tooling, would combine with Microsoft Syntex (content processing) to understand documents and provide standard ways for organizations to communicate. 

Developers & GitHub Copilot

There was of course a big focus on Azure as a developer cloud platform with GitHub Copilot as a linchpin using AI to assist coders and he spoke about low code/no code innovations that are coming. 

Workforce Transformation

Another giant theme was workforce transformation and how Microsoft is using its heritage in collaboration and productivity software to move beyond “productivity paranoia” – i.e. are remote workers doing their jobs – to a world where collaboration is built into intelligent workflows. Nadella showed a glimpse of the future with AI powered Avatars and partnerships with Meta and Cisco around Microsoft Teams. 

Security

And finally security with a bevy of tools from identity, endpoint governance etc. stressing a suite of tools from a single provider – Microsoft. 

Unpacking Satya Nadella’s Commentary

There are several point we’d like to make on the keynote, including the folloing:

  • Microsoft is following in the footsteps of AWS with silicon advancements and didn’t much emphasize that trend with the exception of the Ampere mention. But the company is successfully building out cloud infrastructure at massive scale — there is no debate there;
  • Its play on data is to try and provide more simplified and abstracted solutions which differs from AWS’ current approach of delivering the right database tool for the right job;
  • Microsoft’s automation play appears to provide simple individual productivity tools and make it really easy for users to drive bottoms up initiatives. We heard from UiPath at Forward5 a different vision of horizontal automation, end to end across SaaS and data platforms; 
  • Microsoft’s play on workforce transformation is visionary and will continue to solidify its dominant position with Teams and 365. And it will drive cloud infrastructure consumption by default;
  • On security – As a cloud player Microsoft must have world class security and Azure does. But the knock on Microsoft is Patch Tuesday becomes Hack Wednesday because Microsoft releases so many patches so frequently it’s become a roadmap and trigger point for hackers to act before the patches are implemented. As well, Microsoft is competing directly with many of the best-of-breed platforms like CrowdStrike and Okta which have market momentum and appear to be more attractive horizontal plays for customers. But again it’s Microsoft and they make it easy and inexpensive to adopt and the company’s strategy is working brilliantly. 

Some Dubious Claims by Nadella

Despite the outstanding presentation by Satya Nadella, there were a couple of statements that should raise questions.

We’ve made a convenient edit to the callout on the right above. We agree Microsoft is trusted and ubiquitous cloud – but don’t quite agree that is “the” one and only. Nadella made at least two other statements that we felt warranted a challenge: 

Azure is the only cloud that supports all organizations and all workloads from enterprises to startups to highly regulated industries.

And…

Azure is the only cloud provider enabling highly regulated industries to bring their most sensitive applications to the cloud.

We reached out to CUBE collaborator Sarbjeet Johal about these statements. He as well was surprised by this claim. He pointed out that AWS has supports more certifications than Microsoft and we would think it has a reasonable case to dispute these claim. As well, claiming that Azure is the only cloud provider enabling highly regulated industries to bring their most sensitive applications to the cloud. We think reasonable people can debate whether AWS is there yet but very clearly Oracle and IBM would have something to say about that statement.

Perhaps Satya doesn’t consider Oracle and IBM as clouds. We would agree they’re not in the class of the Big 3 hyperscale clouds but they are clouds in our view.

And Satya also made the claim that the Edge browser, “no questions asked,” is the best browser for business. We can see some people having questions about that. Like – isn’t Edge based on Chrome?

So we just have to question these statements and challenge Microsoft to defend them because to us it’s a bit of BS and makes one wonder what else in Satya’s excellent keynote was real and what was hyperbole. 

Moving on to Google Cloud Next

Alphabet CEO Comments

The Google keynote started with Sundar Pichai doing a remote session stressing the importance of Google Cloud. He mentioned that Google Cloud, based on its Q3 earnings was on a $25B annual run rate. Pichai didn’t mention that it’s also on a $3.6B annual operating loss run rate based on its first half performance. And we’ll dig into this issue more a bit later in this post. 

He also stressed that the investments that Google has made to support its core business like its global network of 22 sub-sea cables, Youtube innovations,, BigQuery to support search, its threat analysis and AI all are leveraged by Google Cloud Platform (GCP). 

This is all true. Google has awesome tech. Pichai’s remarks were forward thinking and laid out a vision of the future but it didn’t address in our view today’s challenges to the degree that Microsoft did – and we expect AWS will at re:Invent this year. 

Kurian Emphasizes Customer Traction

Thomas Kurian then took over and did a very good job of highlighting customers. Nine of the 10 top media firms use Google Cloud; 8 out of the top 10 manufacturers, 9 of the top 10 retailers same for Telecom, same for healthcare. And 8 of the top 10 retail banks. Kurian  and Pichai specifically referenced Avery Dennison, Groupe Renault, H&M, Johns Hopkins, Prudential, Mina Bank, ANZ Bank and many others during the session. And gave many examples of customers not just utilizing Google’s productivity tools but substantive work in data, AI and other services from GCP.  

Infrastructure Focus

Like Microsoft, Google talked about infrastructure – Kurian announced the general availability of the latest Tensor Processing Units (TPUs) for training…and emphasized compute optionality mentioning partnerships with Intel and Nvidia. He also talked about the buildout of cloud regions and the requisite storage services. Kurian also stressed how new workloads were emerging that required new infrastructure. Again…as we’ve extensively discussed in Breaking Analysis – in our view, when it comes to compute, AWS via its Annapurna acquisition is well ahead of the pack with regard to custom silicon. But all three companies are investing in that area and heavily in infrastructure, which is great news for customers and the ecosystem. 

Google Data & AI – A Messaging Page from Snowflake & Databricks

Data and AI go hand in hand and there was no shortage of data talk. Google didn’t mention Snowflake (or Databricks) but it did mention Google’s “Open Data Cloud.” Now maybe Google has used that term before but Snowflake has been marketing the data cloud concept for a couple of years now so that struck as a shot across the bow to a partner/competitor. And BigQuery is a main centerpiece of Google’s data strategy. Kurian spoke about how they can take any data from any source in any format from any cloud provider with BigQuery Omni…aggregate and understand it. And with support of Apache Iceberg, Delta and Hudi (coming soon); an initiative called the Data Cloud Alliance. So without specifically mentioning Snowflake or Databricks, Kurian co-opted a lot of messaging from these two leading data players. 

Such is life in tech. 

Google Workspace & Dev Tools

Kurian also talked about Google Workspace and how it’s now at 8M users, up from 6M just two years ago. There was also a lot of discussion on developer optionality and several details on tools supported and the open mantra of Google. 

Security – A Shot at Amazon’s Shared Responsibility Model 

Finally on security, Google brought out Kevin Mandia, a CUBE alum who is CEO of Mandiant, a leading security services provider and consultancy. Google acquired Mandiant for around $5.3B recently. They talked about moving from shared responsibility to shared fate. This appears to be a clear shot across AWS’ bow. It’s unclear that Google will pay the same penalty if a customers doesn’t live up to its shared responsibility but we can probably assume the customer will bear the brunt of the pain. 

Nonetheless, Mandiant is interesting because it is a services play. And Google has stated that it’s not a services company and it’s giving partners and the channel plenty of room to play so we’ll see what it does with Mandiant. Regardless, Mandiant brings a very strong enterprise capability in the single most important area – security. 

Importantly, unlike Microsoft, Google is not competing with leaders like Okta and CrowdStrike…rather it’s partnering aggressively with them and that’s a differentiator from Microsoft. AWS is also heavily leaning into partnering with the security ecosystem.  

Survey Data Tells the Story of Cloud Competition

Let’s get into the survey data and see how Microsoft and Google are positioned in four key markets – IaaS, BI/analytics, database/data platforms and collaboration software. 

The IaaS Cloud Lineup 

ETR is just about to release its October survey so we can’t share that data yet. We can only show July data but we’ve given you some directional hints at what’s coming. The chart above shows Net Score or spending momentum on the vertical axis and Overlap or presence in the data – i.e. how pervasive the platform is – on the horizontal plane. And we’ve inserted the Wikibon estimates of IaaS revenue in the able to the bottom right. 

A couple of points to help you navigate this busy data chart.

  • First Microsoft and AWS are dominant on both axes. The red dotted line at 40% represents a highly elevated spending velocity and all of the Big 3 are above the line. 
  • At the same time, GCP is well behind the two leaders in terms of market presence and you can see that from the revenue projections in the table insert. Why is Azure bigger in the ETR survey when AWS is larger according to Wikibon? The answer is because Microsoft, with products like 365, will be considered cloud by customers and in the insert we’re stripping out applications from Microsoft and Google —  isolating on IaaS only. Wikibon estimates of Google’s revenue also strips out productivity and collaboration software.
  • The other point is there is when you take a look at the early October returns you see downward pressure on every name with the exception of Dell and IBM showing slightly improved momentum.

So the survey data generally confirms what we know – that AWS and Azure have a massive lead and strong momentum in the market. But the untold story is below the line. Unlike Google Cloud, which is on pace to lose well over $3B on an operating basis this year, AWS’ operating profit is around $20B annually. Microsoft’s Intelligent Cloud generated more than $30B in operating income last fiscal year. 

But the untold story is below the line. Unlike Google Cloud, which is on pace to lose well over $3B on an operating basis this year, AWS’ operating profit is around $20B annually. Microsoft’s Intelligent Cloud generated more than $30B in operating income last fiscal year. 

Let that sink in for a moment. 

Google is Playing the Long Game – Lots of Work Ahead

Google has traction in the market with key customers. Kurian gave some nice proof points in his keynote presentation…more than enough to convince the skeptics that GCP is real. But the data above underscores the lead Microsoft and AWS have on Google in cloud. And as the data below shows, the two leaders are executing noticeably better on the customer front.

The above graphic shows a breakdown of ETRs proprietary Net Score methodology. It asks customers are you adopting the platform new (lime green), spending more than 6% (forest green), flat spend (gray), spending down 6% or worse (pinkish color) or replacing the platform (bright red). Subtract reds from greens and you get a Net Score. 

One impressive caveat is the Microsoft data reflects its entire Microsoft portfolio, meaning it includes the company’s legacy platforms. The other note is this data is from the July survey – we’ll have an update for you once ETR releases the October results. 

But we’re talking meaningful samples of 620 for AWS, over 1,000 for Microsoft and more than 450 respondents for Google. 

The real tell is replacements. There is virtually no churn for AWS and Microsoft. Google’s churn is 5X those two in the survey. Now 5% churn is not high but you’d like to see four things for Google given its smaller size: 1) Less churn; 2) Much, much higher adoption rates; 3) A higher percentage of spending more (the forest green); and 4) a lower percentage of spending less. 

None of these four conditions is really in play for Google. GCP is still not growing fast enough and doesn’t have nearly the traction of the two leaders according to the data.

The real tell is replacements. There is virtually no churn for AWS and Microsoft. Google’s churn is 5X those two in the survey.

BI/Analytics Performance

Above we have the same XY dimensions (spending momentum against market presence). Again Microsoft is dominating the picture with AWS very strong on both axes. Tableau is popular on the X axis and respectable on the vertical axis. And Google with Looker and its other platforms is also respectable. But it has some work to do in this area as well to catch up to the leaders. 

Notice Streamlit, the recent Snowflake acquisition is strong on the vertical axis and will likely move to the right over time. Grafana is prominent on the Y axis  but a glimpse at the most recent data shows them slightly declining while Looker improves a bit. As does Cloudera, which will move up slightly. 

Microsoft’s performance just blows you away, doesn’t it? 

Database & Data Platforms

Same dimensions for the above graphic (spending velocity vs. market presence) but this time for database and data warehouse. Snowflake as usual takes the top spot on the vertical axis with again – Microsoft and AWS dominant in the market – as is Oracle albeit with less spending velocity. Google is well behind on the X axis but solidly above the 40% mark on the vertical. Note that virtually all platforms will see pressure in the next survey due to the macro environment and Microsoft might even dip below the 40% line for the first time in a while. 

Snowflake appears more steady than the pack but will also likely see some macro pressures.

Collaboration, Productivity and the Future of Work Software

Lastly let’s look at the collaboration and productivity software market. This is such an important area for both Microsoft and Google.

Same dimensions above (spending velocity vs market presence). Just look at Microsoft with 365 and Teams. The company’s platforms are ubiquitous. And that drives captive IaaS consumption. We’ve highlighted Google. It’s in the pack and certainly has a nice base with 174 N, which we can tell you is rising. But given the investment and the tech behind it and all the AI and Google’s resources you’d really like to see it above the 40% line given the importance of this space to Google’s success and the degree to which it’s emphasized in its pitches. 

And look this brings up something that we’ve talked about before on Breaking Analysis. Google doesn’t have a tech problem. This is a go to market and marketing challenge Google faces. It’s up against two go to market champs in Microsoft and AWS and Google doesn’t have an enterprise sales culture. It’s trying. It’s making progress. But it’s like the racehorse that has all the potential in the world but it’s just missing some key ingredient to put it over the top. It’s in the money but hasn’t taken the winner’s purse in any enterprise Grade I races yet. 

Final Takeaways From Ignite & Cloud Next

Customers and partners should be thrilled that both Microsoft and Google along with AWS are spending so much money on CAPEX innovation and building out global platforms. This is a gift to the industry and we should be thankful frankly because it’s good for business, competitiveness and the future of innovation.

Now we didn’t talk much about multi-cloud but both Microsoft and Google have a story that resonates with customers. Unlike AWS at this time. But never say never when it comes to AWS – they will surprise you. 

One of the other things Sarbjeet Johal and John Furrier discussed is that each of the Big 3 is positioning to their respective strengths. AWS is the best IaaS, Microsoft is building out the ‘we make it easy for you’ cloud and Google is trying to be the open data cloud – with its open source chops and excellent tech. That posture by Google puts added pressure on Snowflake doesn’t it? Thomas Kurian made some comments according to CRN – something to the effect that we’re the only company that can do the data cloud thing across clouds – which again if we’re being honest is not accurate. We haven’t clarified the statements with Google and often things get misquoted. But there’s little questions that, as AWS has done in the past with RedShift, Google is taking a page out of Snowflake. And Databricks as well. 

A big difference in the Big 3 is AWS doesn’t have this big up the stack collaboration software play. Both Microsoft and Google do and that drives captive IaaS consumption. AWS obviously has it in database but ISVs that compete with Microsoft and Google should have a greater affinity to AWS one would think for competitive reasons. Same thing could be said in security. 

One other thing Sarbjeet mentioned that we’ll call out here. AWS specifically but also Microsoft with Azure have successfully created brand distance he called it. AWS from Amazon retail and Azure with its own identity. It seems Google still struggles to do so. Now maybe that’s by design but for enterprise customers, there’s still some potential confusion with Google, what its intentions really are, how long it will continue to lose money and invest, etc. 

We didn’t talk much about ecosystem but it’s vital and Google has some work to do relative to the leaders. Which leads us to the supercloud. The ecosystem and end customers are now in a position this decade to digitally transform and build out their own clouds. Not by building data centers and installing racks of servers. Rather to build value on top of the hyperscaler gift that’s been presented. 

And that is a megatrend that we’re watching closely in theCUBE community. While there’s debate about the supercloud name and so forth, there’s little question in our minds anywhat that the next decade of cloud, won’t be like the last and that building value on top of hyperscale infrastructure is fundamental to digital transformations. 

Keep in Touch

Thanks to Alex Myerson and Ken Shiffman are on production, podcasts and media workflows for Breaking Analysis. Special thanks to Kristen Martin and Cheryl Knight who help us keep our community informed and get the word out. And to Rob Hof, our EiC at SiliconANGLE.

Remember we publish each week on Wikibon and SiliconANGLE. These episodes are all available as podcasts wherever you listen.

Email david.vellante@siliconangle.com | DM @dvellante on Twitter | Comment on our LinkedIn posts.

Also, check out this ETR Tutorial we created, which explains the spending methodology in more detail.

Watch the full video analysis:

Note: ETR is a separate company from Wikibon and SiliconANGLE. If you would like to cite or republish any of the company’s data, or inquire about its services, please contact ETR at legal@etr.ai.

All statements made regarding companies or securities are strictly beliefs, points of view and opinions held by SiliconANGLE Media, Enterprise Technology Research, other guests on theCUBE and guest writers. Such statements are not recommendations by these individuals to buy, sell or hold any security. The content presented does not constitute investment advice and should not be used as the basis for any investment decision. You and only you are responsible for your investment decisions.

Disclosure: Many of the companies cited in Breaking Analysis are sponsors of theCUBE and/or clients of Wikibon. None of these firms or other companies have any editorial control over or advanced viewing of what’s published in Breaking Analysis