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These early conversations helped shape Databricks product, pricing, and go-to-market strategy. Pricing: Keep It Simple (At First) Databricks started with a simple, consumption-based pricing model. Because thats how their customerswho were used to AWS, Azure, and GCP pricingexpected to buy. Talk to users.
It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up). It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up). In these situations the stock’s earnings reaction could be flat.
Today, Microsoft & Google revealed the health of their infrastructure business units. Microsoft Azure. Google Cloud Platform. Microsoft Azure grew 40% y/y, tying the fastest quarterly growth rate in the past 5 quarters. GCP’s data point is less rosy. Amazon Web Services. Good news & bad news.
Paying five decentralized providers in five different tokens means managing several wallets and monitoring token prices to hedge expenses. Perhaps this dynamic drives consolidation in the market, paralleling the web2 infrastructure hypermarts of AWS, GCP, and Azure. It’s too much complexity for a simple static blog.
Both Google & Microsoft announced growth rates in GCP & Azure that held steady from one quarter to the next. Microsoft’s Azure Open AI customer base grew 4x by count, up from 2500 last quarter : We have great momentum across Azure OpenAI Service. The desire for AI is broad.
For software companies, this phenomenon can be a tailwind, as it drives accelerated deal closures and increased sales velocity, sometimes with less price sensitivity from buyers looking to quickly deplete their budgets. As a result, software vendors often see an uptick in revenue and bookings during these periods. Cloudflare is up 17%.
We now have results from the three hypersclaers (AWS / Azure / GCP). Quarterly Reports Summary Top 10 EV / NTM Revenue Multiples Top 10 Weekly Share Price Movement Update on Multiples SaaS businesses are generally valued on a multiple of their revenue - in most cases the projected revenue for the next 12 months.
Microsoft launched Azure in 2010, and Google launched GCP to the public in 2011 (they launched a preview of Google App Engine in 2008, but made it publicly available in 2011). On top of that- we HAVE seen significant pricing pressure. S3 has dropped nearly 97% in price, while EC2 has fallen nearly 90%!
Hyperscalers Report Quarterly Earnings This week we saw AWS (Amazon), GCP (Google) and Azure (Microsoft) report earnings. At the same time, Azure came in below expectations. Azure called out an incremental $800m of costs expected throughout the year (they just finished their Fiscal Q1).
All 3 (AWS, Azure, GCP) saw positive reacceleration Quarterly Reports Summary Top 10 EV / NTM Revenue Multiples Top 10 Weekly Share Price Movement Update on Multiples SaaS businesses are generally valued on a multiple of their revenue - in most cases the projected revenue for the next 12 months.
Cloud Giants Report Q2 We also got the Q2 quarters from AWS / Azure / GCP this week! Quarterly Reports Summary Top 10 EV / NTM Revenue Multiples Top 10 Weekly Share Price Movement Update on Multiples SaaS businesses are generally valued on a multiple of their revenue - in most cases the projected revenue for the next 12 months.
You can see more detail about their net new ARR added each quarter below Azure Growth came in at 27%, and guided to 25-26% growth for Q3. That means we very well could see 27% be the bottom for them as well (assuming they beat their guidance). Then Q2 came in at 12% (must have seen improvements throughout the quarter).
Next week we get all 3 hyperscalers reporting (AWS from Amazon, Azure from Microsoft, and GCP from Google). Let’s double click on Azure. Q1 Earnings Season We’re on the eve of Q1 earning season. The Q4 ‘22 growth rate was 38% YoY. Revenue multiples are a shorthand valuation framework.
Hyperscalers (AWS, Azure, GCP as companies look for cloud GPUs who aren’t building out their own data centers) Infra (Data layer, orchestration, monitoring, ops, etc) Durable Applications We’ve clearly well underway of the first 3 layers monetizing. Revenue multiples are a shorthand valuation framework.
AI = Data + Compute I’ll continue beating this drum, but we got two great quotes from Azure and AWS this week. Satya at Microsoft said “Every AI app starts with data and having a comprehensive data and analytics platform is more important than ever.” ” Data is more important than ever! AWS reports next week.
This can lead to an airpocket of valuation as companies transition to a different primary valuation metric Outside of the hypserscalers (Azure, AWS, GCP) who have uniquely benefited from AI revenue (mainly selling compute), everyone else has largely struggled. Coming in to Q1 there was broader optimism. Q4’s were generally good!
If next quarter we get similar commentary that Azure gave us this quarter (“still a couple quarters away” without any specific guidance), then we may see market loose a little patience. The hyperscalers (AWS, Azure, GCP) are seeing some uptick, but this is largely from selling compute (ie cloud GPUs).
They want to do it, but there are all these hurdles in the way and the price is huge. Ali: The bigger models, if you follow the scaling laws, are more intelligent if you’re okay with paying the price, you have the GPUs, and if you can crack the code on how to fine-tune the bigger model. It will be like AWS, GCP, and Azure.
new features, pricing models). Bonus points : Experience with cloud platforms (AWS, Azure, GCP). This might involve creating reports, dashboards, and presentations to communicate complex insights effectively. This helps optimize the product for better user experience and conversion rates. Tableau, Power BI).
Cloud computing services provide on-demand solutions and IT resources to companies via the Internet with pay-as-you-go or subscription-based pricing models. While IaaS provides infrastructural support, PaaS, as its name suggests, provides cloud platform support to customers. SaaS Characteristics Subscription-based pricing model.
Bonus points : Experience with cloud platforms (AWS, Azure, GCP). new features, pricing models). Experience with data visualization tools (e.g., Tableau, Power BI). Excellent communication and collaboration skills. A passion for data-driven problem-solving and a strong work ethic.
AppDynamics has three pricing plans, and you have to contact the provider to get the actual price. Site24x7 supports Ruby, Java, PHP,NET, Node.js, and mobile platforms for apps. The tool also monitors Windows, Linux, Docker, VMware, FreeBSD, GCP, and Azure for servers.
GCP 23 35 52.2% Azure 26 33 26.9% Cloud Operating Margin Azure 44% AWS 38% GCP 17% Plus the operating margins of these companies is massive at around 40% for the top two. Cloud Operating Margin Azure 44% AWS 38% GCP 17% Plus the operating margins of these companies is massive at around 40% for the top two.
It’s clear that buyers are racing to the Cloud Marketplace, like those offered by AWS, Azure, GCP, and IBM / Red Hat, and sellers are eager to tap into the Cloud budget to help their buyers get started fast or scale contracts fueled by cloud budget growth. Cloud Marketplaces are a good first step toward a multi-channel GTM. .
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