This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Aside from the overall growth of these clouds increasing, the massive investment in CapEx data centers, power plants, and GPUs is stunning. “Moving to AWS. Revenue was $25 billion, an increase of 17% year-over-year, and AWS is now a $100 billion annualized revenue run rate business.
There are many ways to slice-and-dice public market data, but the headline one Bessemer called out is the most visceral I’ve seen: Public SaaS and Cloud companies lost $1 Trillion in market cap so far in 2022. At the same time, the leaders in Cloud (AWS, Azure, Google Cloud) are growing a stunning 40%.
Because thats how their customerswho were used to AWS, Azure, and GCP pricingexpected to buy. Ron explains: “For us the more data you have and the more queries and the more analysis and analytics you can do, and the more value you’re going to get out of the product. For us data consumption continues to grow.”
A year ago, AWS, GCP, & Azure averaged 44% annual growth. Amazon: We expect [customer] optimization efforts will continue to be a headwind to AWS growth in at least the next couple of quarters. So So far in the first month of the year, AWS year-over-year revenue growth is in the mid-teens.
And AI is obviously on fire, pulling up AWS, Google Cloud, Azure, etc. ZoomInfo, another pure play in B2B on the data side, isn’t seeing any bounce back yet, either: HubSpot: “Yes, We Had a Great Quarter. SaaS outside of classic “B2B’ is often holding up well. Klaviyo, Toast, etc. More B2B2C there.
SaaS products and services like Pilot track the finances of 1,000s of SaaS and other startup so they’re an interesting source of hard data. What does Pilot’s latest data say? Shopify , Datadog, Crowdstrike , Google Cloud-Azure-AWS, Snowflake , etc. That’s what this Pilot data also reflects.
In this post, I’ll take a data-driven approach in evaluating the overall group’s performance, and highlight individual standouts along the way. It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up). Let’s get into some high level data.
My summary of Venture Markets in Nov 2022: Series B and later even worse than looks in data: 85%+ of investing here has simply ceased. And while AWS’s growth is down a bit, it’s still at epic levels, Azure isn’t even really down, and Google Cloud is growing faster than ever.
Aiven provides managed open source data technologies on all major clouds. Meanwhile, we do what we do best; manage cloud data infrastructure. With Aiven, developers can do what they do best: create applications. We enable customers to drive business results from open source that trigger true transformations.
Microsoft Azure. Microsoft Azure grew 40% y/y, tying the fastest quarterly growth rate in the past 5 quarters. GCP’s data point is less rosy. 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.
" As with many other companies reporting strength in the market, AI & unstructured data workloads are fueling growth. ” Unstructured data is the growth engine : 17x growth y/y suggests a small number last year, but phenomenal interest. “Over 30% of customers use Snowflake to process unstructured data in October.
Generally you need to aggregate data from a number of places to “group.” They each have some of the largest cloud businesses in the world in AWS, Azure and Google Cloud respectively. The list goes on. There are so many others. What do all of these have in common? Perfect for a LLM!
Which means better customer relationships, more data, and new sources of revenue. Secureframe allows companies to get compliant within weeks, rather than months and monitors 100+ services, including AWS, GCP, and Azure.
Microsoft Azure. The kink downwards in the red line at Q-2 shows a sudden deceleration in AWS’ growth rate. Meanwhile, Azure has declined in a more steady cadence. The data suggests a broader slowdown in software spending as these companies are indices of software buyers’ behavior. Google Cloud Platform.
Rudina sees it along three dimensions: Data Infrastructure A culture of adopting AI Where are we heading as we try to adopt AI in the Enterprise? The layout and framework of data, infrastructure, and culture will be even more important as AI shifts to Enterprise. Many people think we have data, so why not build the models?
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%.
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.
In the cloud, AWS, Azure, & GCP have created about as much market cap as all the top 100 B2B & B2C publics built on cloud (Netflix, ServiceNow, AirBnb, etc). Access to proprietary data provides a moat. The PC increased GDP by 0.006%, according to NBER That alone should turn heads.
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.
DigitalOcean is growing more slowly than its mega competitors Azure, AWS, etc. Yes, you may have to make some educated guesses and get some data from unusual sources. . $4B BigCommerce is growing more slowly than its $140B bigger rival, Shopify. That’s a big, big gap. But BigCommerce is still worth a very impressive $4B.
This includes data from companies on how they utilize SaaS and their spending. G2 track data supports expected spending increase in 2022 with average quarterly SaaS spending up 15% YoY.”. The three key themes that emerged from G2’s data are: The value of community experience . Third-party partnerships, including tackle.io
AWS (Amazon), Azure (Microsoft), and Google Cloud (Google) all reported this week. Everyone is hoping to find a glimmer of data to suggest that the headwinds are abating and easing. 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.
In this post, I’ll take a data-driven approach in evaluating the overall group’s performance, and highlight individual standouts along the way. One of my favorite data sets from the quarter was one my colleague Thomas pulled together. This is the data point shown for Q4 ‘23. this quarter.
In general economic data has continued to come in strong (a data point suggesting inflation could stay sticky, and the economy can absorb rates staying higher for longer). Hyperscaler Preview Next week Amazon, Microsoft and Google report earnings and we’ll see Q3 data for AWS, Azure and Google Cloud.
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!
Tabular is a compelling data lakehouse solution, meaning it brings data warehouse functionality (SQL semantics + ease of use) to the data lake (cost-efficient and scalable). If you want your data platform to run like those at Netflix, Salesforce, Stripe, AirBNB and many others (i.e. Let's dive in.
Wayfair CEO compared the drop in spend to home goods to the 2008 financial crisis: “Customers remain cautious in their spending on the home and our credit card data suggests that the category was down by nearly 25% from the peak we saw in the fourth quarter of 2021. Then there’s software specific data points.
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.
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! .”
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.
The traditional clouds (AWS, GCP, and Azure) are getting dated. Heck, you can even write confliction updates in multiple regions at the same time and Tigris will resolve the updates and give a consistent global view of the data. However, storage has been a key issue for moving applications wholesale to these new clouds.
Here’s some data so far: 6 out of 40 (15%) saw ARR shrink from Q4 to Q1 Of companies who gave Q2 guidance, 20 out of 37 (54%) guided BELOW Q2 consensus. .” For now, some the credit card companies are describing the spending environment as holding up / strong, so there’s definitely some mixed signals.
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. But even more important right now is cost.
” Time will tell… Data in chart below show’s the change in full year guide from this quarter vs last quarter. Feels like investors are broadly more comfortable waiting for the data to show up. So there’s a bit of a “trust us back half acceleration is coming.” Q4’s were generally good!
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.
Additional Isolation Options – Supplementary isolation approaches focused on compute and data Storage considerations. The AWS Well-Architected Framework is one such approach that helps adopt architectural best practices (whether or not you run on AWS) and adapt continuously.
But I'm not here to talk about hyper-scale, public clouds such as Amazon Web Services (AWS), Azure, or Google Cloud. Instead, most organizations need a way to store our documents and data so we, and our teammates, can easily get our information whether we're at home or sitting at a convention center in Valencia, Spain.
We can look at data for indicators, but predicting anything with confidence on all 3 of these vectors is very hard. One data point to support this – the WCLD index was up >5% on Wednesday, but the S&P was up only 1%. What we do know – Powell continues to sound confident that a soft landing is still possible.
Type 1 SaaS Architecture – This type of architecture basically requires runtime and data isolation, but not necessarily on the cloud. Type 2 SaaS Architecture – Unlike Type 1, this architecture needs runtime and data isolation on the cloud as well. Privacy-conscious customers unwilling to share data storage.
This is why the consumption players (Snowflake, Mongo, Confluent, Azure, AWS, etc) so more variability in the macro slowdown. .” Let’s look at consumption revenue - this is also not technically recurring! It’s probably better described as re-occurring vs recurring. in December, unemployment to be 4.0%
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. However, it’s not showing up in the data yet. The question is how patient will they be waiting for this?
Interested in data analyst roles? In this guide, we’ll explore the ins and outs of data analyst roles through detailed job descriptions and handy templates. TL;DR A data analyst is a problem-solver who uses their technical skills to uncover valuable insights from data. Looking into tools for data analysts?
Cisco and Google have expanded their joint cloud-development activities to help customers more easily build secure multicloud and hybrid applications everywhere from on-premises data centers to public clouds. Check out what hybrid cloud computing is and learn what you need to know about multi-cloud.
Our goal is to give our customers and the market the data they need to build a solid case and make informed decisions about when they should take advantage of Cloud Marketplaces. . Get the full 2021 State of Cloud Marketplaces Report here to see these findings and even more of our predictions and data.
We organize all of the trending information in your field so you don't have to. Join 80,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content