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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. Ron recalls.
GCP data is a bit more noisy as they don’t disclose GCP itself, but rather Google Cloud which includes GSuite. Change in Share Price At the end of the day what investors care about is what happened to the stock after earnings were reported. In these situations the stock’s earnings reaction could be flat.
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.
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%.
Both Google & Microsoft announced growth rates in GCP & Azure that held steady from one quarter to the next. With about 365m Office users & a price point of $29 per user per month, a 10% cross-sell into the customer base would add $12.7b Amazon, Cloudflare, & Mongo announce soon. The desire for AI is broad.
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%!
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.
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 (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. Model providers (OpenAI, Anthropic, etc as companies start building out AI).
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.
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 Report Quarterly Earnings This week we saw AWS (Amazon), GCP (Google) and Azure (Microsoft) report earnings. At the same time, I’d guess we’re seeing discounts on egress fees and a lot of customers shifting from spot pricing (highest marginal cost) to committed contracts (lower marginal cost).
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. Then Q2 came in at 12% (must have seen improvements throughout the quarter). And most importantly, they’ve seen these positive trends continue. Revenue multiples are a shorthand valuation framework.
Next week we get all 3 hyperscalers reporting (AWS from Amazon, Azure from Microsoft, and GCP from Google). 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.
This week we had two of the hypserscalers report (Microsoft / Azure and Google / GCP), and everyone was eager to see their results. The bars represent the YoY revenue growth, and the yellow line is the stock price. As you can see, the stock price bottomed and started going up in Q4 ‘08. AWS reports next week.
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.
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. And everyone hoping for AI acceleration will need to wait.
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. Okay, it’s not possible for the pricing. We would lose money by using a provider on analytics. We did a mistake at this moment which is two.
Let’s say your second product builds a new product that is growing healthily with a smaller group of customers than the core business at a much lower price point. Bigger swings generally mean a longer amount of time building toward something that could work in the future. Google on GCP? Amazon on Alexa?
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.
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). Excellent communication and collaboration skills. A passion for data-driven problem-solving and a strong work ethic. Experience with big data technologies (Hadoop, Spark). Knowledge of our industry (if applicable).
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% 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. 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. But pr oduct-led growth and usage-based pricing are complex to implement and execute.
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