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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.
Paying five decentralized providers in five different tokens means managing several wallets and monitoring token prices to hedge expenses. That’s much more work than the automatic credit card payment with AWS. Tokens reward the validators and the stakers powering the decentralized networks.
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. In these situations the stock’s earnings reaction could be flat.
Google’s growth rate fell to 35%, a 29% decline from the trailing 4 quarter average of 49% annual revenue growth. GCP’s data point is less rosy. Here are some hypotheses: Google may have greater customer concentration in GCP than Azure. Why do these results diverge?
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). The most notable change in tone was Andy Jassy talking about AWS. Subscribe now Cloud Giants Report Q1 + Early Look at Software Results Q1 earnings seasons has officially kicked off! ” Full quote below: “We're seeing a few trends right now.
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).
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%. Every week I’ll provide updates on the latest trends in cloud software companies.
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.
” 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%. You can see more detail about their net new ARR added each quarter below Google Cloud Growth came in at 28%, which was the same as Q1.
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.
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.
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!
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?
The hyperscalers (AWS, Azure, GCP) are seeing some uptick, but this is largely from selling compute (ie cloud GPUs). I’m hopeful we’re getting leading indicators that the light at the end of the tunnel is getting closer. However, it’s not showing up in the data yet.
Consumption-based pricing is best used when you can accurately and easily break down your service offering into small, digestible units. Many companies in the technology industry are moving toward “pay for what you use” consumption-based pricing models. Four pricing models. Uncommitted contracts. Challenges and shifts.
And we were using a solution from Amazon AWS… We had one big issue first, which was a number of regions they were supporting were not the same vendors. Nothing was perfectly a good for our problem and especially our scale was so big, we were already processing billions of API code that the price was too high for us.
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.
“AWS’ AI business is a multibillion-dollar revenue run rate business that continues to grow at a triple-digit year-over-year percentage and is growing more than 3x faster at this stage of its evolution as AWS itself grew, and we felt like AWS grew pretty quickly.” GCP 23 35 52.2% Azure 26 33 26.9%
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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