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One invoice. I would pay each product provider in their own token: one for storage, compute, caching/CDN, email subscription management, etc. That’s much more work than the automatic credit card payment with AWS. When I hosted this blog on Amazon Web Services, I used 5 products.
It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up). GCP data is a bit more noisy as they don’t disclose GCP itself, but rather Google Cloud which includes GSuite. Some software companies also have seasonality in the “payback.”
ChartMogul is an analytics platform to help you run your subscription business. Our mission is to build powerful and secure cloud software for subscription businesses of all sizes, with a strong emphasis on good design and ease of use.
ChartMogul is an analytics platform to help you run your subscription business. Our mission is to build powerful and secure cloud software for subscription businesses of all sizes, with a strong emphasis on good design and ease of use.
The hyperscalers (AWS, Azure, GCP) are always some of the first companies to report earnings during earnings season (coming up in 2 weeks), and there’s always a read through for consumption names (meaning people believe there’s a correlation). Cloudflare is up 17%. Datadog is up 14%. Mongo is up 16%. Snowflake is up 14%.
We now have results from the three hypersclaers (AWS / Azure / GCP). The most notable change in tone was Andy Jassy talking about AWS. Most public companies don’t report net new ARR, so I’m taking an implied ARR metric (quarterly subscription revenue x 4).
Subscribe now Foundation Models Are to AI what S3 was to the Public Cloud Many people look at 2006 as the birth of the public cloud - the year Amazon launched AWS. 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).
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.
Hyperscalers Report Quarterly Earnings This week we saw AWS (Amazon), GCP (Google) and Azure (Microsoft) report earnings. Overall, it wasn’t pretty… AWS grew 28% when expectations were 30-31%. Companies that do not disclose subscription rev have been left out of the analysis and are listed as NA.
Cloud Giants Report Q2 We also got the Q2 quarters from AWS / Azure / GCP this week! Most public companies don’t report net new ARR, so I’m taking an implied ARR metric (quarterly subscription revenue x 4). Companies that do not disclose subscription rev have been left out of the analysis and are listed as NA.
” These are two quotes about AWS on the Amazon earnings call. AWS grew 16% in Q1, but called out growth in April (first month of Q2) was 11%. Most public companies don’t report net new ARR, so I’m taking an implied ARR metric (quarterly subscription revenue x 4).
Next week we get all 3 hyperscalers reporting (AWS from Amazon, Azure from Microsoft, and GCP from Google). On AWS, in their Q4 earnings call they said AWS was growing “mid teens” in January (down from 20% in Q4). Every week I’ll provide updates on the latest trends in cloud software companies.
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!
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.
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.” AWS reports next week. So what did we learn?
A few months ago, we retired our last pieces of infrastructure on DigitalOcean, marking our migration to AWS as complete. Our journey was not your regular AWS migration as it involved moving our infrastructure from classic VMs to containers orchestrated by Kubernetes. Ultimately, we decided to go with AWS. Team expertise.
The hyperscalers (AWS, Azure, GCP) are seeing some uptick, but this is largely from selling compute (ie cloud GPUs). Most public companies don’t report net new ARR, so I’m taking an implied ARR metric (quarterly subscription revenue x 4). However, it’s not showing up in the data yet.
For example, technology companies like AWS, GCP, and Snowflake offer no contracts for customers interested in using their self-service option or beta-testing the solution. Many companies want to migrate their subscription or perpetual business to consumption pricing models; however, it doesn’t always result in incremental business.
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. This may include infrastructural support like storage, security, network equipment, and data centers, as well as comprehensive applications built to perform specific tasks.
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