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Cloud Capex in Q1 AWS $14 billion Azure $14 billion Google Cloud $12 billion These are not one-time investments, but part of a broader trend that started to occur after the introduction of GPT 3 in mid-2020 Amazon was the first to invest significantly. “Moving to AWS.
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.
So follow AWS, Azure and Google Cloud. Stock prices go up and down, inflation will come down, and interest rates won’t rise forever. Let’s look a whole level up to the real canaries-in-the-coalmine: AWS, Azure and Google Cloud. So much going on in economy right now, from inflation to interest rates.
On top of that, inflation and price increases are eating into overall IT budgets. Growth in public cloud services (AWS, Azure, Google Cloud, Snowflake, etc.) will grow the fastest at 20.4%, and price increases and increased utilization at existing vendors will consume a significant amount of that growth.
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). However, it’s still a fun data point to track.
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.
Many have used Digital Ocean at the cheaper, simpler version of AWS-Azure-Digital Ocean to get going fast and quickly. Almost All Customers Still from Self-Service This makes sense at these price points. And if so, maybe that’s Digital Ocean. If you haven’t heard of Digital Ocean, ask your developer. Or at least.
Microsoft Azure. Microsoft Azure grew 40% y/y, tying the fastest quarterly growth rate in the past 5 quarters. Here are some hypotheses: Google may have greater customer concentration in GCP than Azure. Declines in some large customers’ spend may impact results more than Azure. Google Cloud Platform.
They each have some of the largest cloud businesses in the world in AWS, Azure and Google Cloud respectively. Overall, there was weakness across the board. Not the best start to cloud software earnings season! Revenue multiples are a shorthand valuation framework.
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%.
And it’s one of the three large cloud vendors that we all know: Microsoft, AWS, and Google. Azure’s marketplace has over 4 million monthly visitors. AWS’s marketplace has seen 1.5 Like I said, we run 100% of our platform on AWS, so the fit was great. It was pretty easy to drive that from our side.
Subscribe now Cloud Giants Report Q3 ‘23 Not a great signal for software this week from the Cloud Giants (AWS, Azure and Google Cloud)…After Q2 (3 months ago), the tone from the Cloud Giants around optimizations was largely: optimizations have started to ease, and net new workloads have picked up. Staggering scale already.
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.
Amazon on AWS : “…customers are continuing to shift their focus towards driving innovation and bringing new workloads to the cloud. ” Microsoft on Azure : “And I think last quarter, we said one, we are going to continue to have these cycles where people will build new workloads. Follow along to stay up to date!
This has all resulted in the median stock price declining 5% YTD. It looks at the YoY dollar change in quarterly revenue from the hyperscalers (just looking at Azure / AWS because the data goes back further) going back a few years. What I’ve shown below is the market-adjusted stock price reaction.
Companies are witnessing slight pricing pressure, with the average spend per product dipping slightly. . The role of AWS, Azure, and Google Cloud Marketplace is becoming increasingly important. “45% Next year is forecasted to be even more bullish. Another exciting trend is that more products are being bought than ever before.
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%. At the same time, Azure came in below expectations. Follow along to stay up to date!
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).
AWS (Amazon), Azure (Microsoft), and Google Cloud (Google) all reported this week. Azure reported on Tuesday and gave us that glimmer of hope. Then AWS appeared to add fuel to that hope before giving us a huge rug pull. Azure came in at 31% (constant currency). They then guided to 26-27% Azure growth in Q2.
Cloud Downgrades This week UBS came out with a couple research reports citing concerns in AWS / Azure growth. This brings me back to AWS / Azure downgrades. Every week I’ll provide updates on the latest trends in cloud software companies. Follow along to stay up to date! It’s very tricky to predict.
Hyperscaler Preview Next week Amazon, Microsoft and Google report earnings and we’ll see Q3 data for AWS, Azure and Google Cloud. Said another way, the 10Y today is double what it averaged from 2010 to 2020. As you can see, expectations are for growth to stop decelerating this quarter.
” 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 Azure Growth came in at 27%, and guided to 25-26% growth for Q3.
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 is why we’re seeing more and more SaaS companies—Datadog, Twilio, AWS, Snowflake, and Stripe, to name a few—find success with product led growth paired with usage-based pricing. Usage-based pricing will be the key to successful monetization in the future.”. Usage-based pricing is in all layers of the tech stack.
AI = Data + Compute I’ll continue beating this drum, but we got two great quotes from Azure and AWS this week. ” Then at AWS Summit they called out “Your data is your differentiator when it comes to Generative AI.” AWS reports next week. ” Data is more important than ever!
Next week we get all 3 hyperscalers reporting (AWS from Amazon, Azure from Microsoft, and GCP from Google). Let’s double click on Azure. On AWS, in their Q4 earnings call they said AWS was growing “mid teens” in January (down from 20% in Q4). The Q4 ‘22 growth rate was 38% YoY.
Usage on Snowflake is driven by queries run on Snowflake Azure: Neutral Tone With Strength in AI Overall I’d characterize Azure’s quarter as a net positive. They guided to 26-27% growth in Azure in Q2 (with 1% coming from AI). Their consumption is driven by usage of applications built on top of Mongo.
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.
This is why the consumption players (Snowflake, Mongo, Confluent, Azure, AWS, etc) so more variability in the macro slowdown. But this is changing - many categories are becoming commoditized leading to massive pricing pressure. .” Let’s look at consumption revenue - this is also not technically recurring!
Then, we moved to a more customer-friendly model with SaaS and subscription-based pricing. What’s evolved over the years and is driven by hyper-scalers like Google Azure, AWS, Twilio, and Stripe is the consumption-based model. Key Takeaways Consumption-based pricing requires rethinking your organization.
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.
There’s a real chance the fed funds rate isn’t going >5%, and a soft landing or delayed recession is certainly possible (maybe even being priced in). If the market thinks the setup for H2 is great, it won’t wait until H2 to “price it in.” But what’s happened since? Lots of deceleration in growth.
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!
Beyond the complexity involved in maintaining bad architectural decisions, it also has a direct impact on the services you are offering and pricing flexibility, which are the biggest reasons you are getting started with SaaS in the first place. Just keep in mind that the SaaS route will come at a price, literally. instead of Python.
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).
Maybe endless price increases,” Jason says. You can see the growth on the platform side with Azure, Google, and AWS and how much it’s accelerating in AI. The chart estimates spend will grow 20% to $675B. If we’re adding 20%, where is the money going? To some extent, it’s not clear. A lot of it is moving to versions of AI.
Dive Brief: Usage-based pricing has grown 32% this year and now 45% of software-as-a-service (SaaS) companies use it all or in part, up from 34%, an OpenView survey shows. Pricing model growth. Usage-based pricing has been growing since at least 2018, when about a quarter of companies were using it, according to OpenView’s data.
Pricing and support: The tools should offer a range of pricing options and provide strong customer support to help you address any issues that may arise. AWS WAF is a great option for software and DevOps teams that are already using AWS services or looking for a scalable and flexible WAF solution.
Transforming the Technology Industry: The Power of Usage-Based Pricing By BluLogix Team The technology industry is in the midst of a profound transformation. Traditional pricing models, such as fixed subscriptions and one-time purchases, no longer align with the dynamic and ever-evolving nature of this sector.
Serverless platforms, such as AWS Lambda and Azure Functions, automatically scale resources based on demand, providing agility and cost optimization. Tools like Terraform and AWS CloudFormation enable infrastructure to be defined in code, promoting consistency, repeatability, and scalability across environments.
Google Compute Engine (GCE), Digital Ocean, and Amazon Web Services (AWS) are all good examples of IaaS. Some PaaS examples include Windows Azure, Google App Engine, and Force.com. With ProfitWell, you can easily use our products to manage your pricing while also managing your billing through a service like Stripe.
How companies price and distribute their solutions affects everything from revenue streams and customer interaction to product development and delivery methods. Microsoft Azure, Amazon Web Services (AWS), or Salesforce AppExchange). SaaS licensing, on the other hand, follows a subscription-based pricing model.
Key examples are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, which provide scalable resources like virtual servers and storage. Most SaaS companies offer a scalable pricing model that adjusts based on usage – ideal for managing budgets effectively. What are the benefits of the SaaS model?
Running your own server to handle your customer's valuable data requires a huge investment to match the same level of security and reliability that comes baked into services like Amazon AWS and Microsoft Azure cloud. Pricing Changes. There is currently a surge in usage-based pricing and other creative pricing strategies.
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