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Yesterday, Google & Amazon announced earnings which completes the picture. A year ago, AWS, GCP, & Azure averaged 44% annual growth. Google: [GCP] saw slower growth of consumption as customers optimized GCP costs. Google: [We] are pushing Google Cloud to Profitability.
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.”
Google Cloud Platform (GCP) & Microsoft Azure had strong quarters with about 28% annual revenue growth each. The total customer count for Azure’s OpenAI has grown dramatically. In Azure, we expect revenue growth to be 26% to 27% in constant currency, including roughly 1 point from AI services.
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.
Today, Microsoft & Google revealed the health of their infrastructure business units. Microsoft Azure. Google Cloud Platform. Microsoft Azure grew 40% y/y, tying the fastest quarterly growth rate in the past 5 quarters. GCP’s data point is less rosy. Amazon Web Services.
" 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.
Everstage is a no-code commissions automation platform that removes recurring busywork for your Ops and Finance teams and provides a transparent and gamified incentives experience to your customer-facing teams. Aiven provides managed open source data technologies on all major clouds.
Maast offers payments, banking, lending and more as features in software provider’s platforms – with one relationship, contract and integration. Which means better customer relationships, more data, and new sources of revenue.
Both Google & Microsoft announced growth rates in GCP & Azure that held steady from one quarter to the next. Microsoft’s Azure Open AI customer base grew 4x by count, up from 2500 last quarter : We have great momentum across Azure OpenAI Service. The desire for AI is broad.
This week Microsoft, Google/ Alphabet, & Amazon reported their third quarter figures. Microsoft Azure. Google Cloud Platform. GCP is more volatile, likely driven by the volatility of bigger deals closing on a smaller revenue base. Meanwhile, Azure has declined in a more steady cadence.
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%.
Layer : application, platform, or infrastructure? 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. Moats : how to develop competitive advantage?
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 dataplatform 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.
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 Report Quarterly Earnings This week we saw AWS (Amazon), GCP (Google) and Azure (Microsoft) report earnings. At the same time, Azure came in below expectations. The other piece is higher energy costs (to service their data centers). Follow along to stay up to date!
The traditional clouds (AWS, GCP, and Azure) are getting dated. Lately, we’ve seen the rise of a number of hosting platforms that are better aligned with modern development practices. It truly is a global multi-master storage platform. It allows an application to write in any region, and to read in any region.
Next week we get all 3 hyperscalers reporting (AWS from Amazon, Azure from Microsoft, and GCP from Google). Let’s double click on Azure. This may be a data point to suggest we’re hitting the trough (or close to it). Q1 Earnings Season We’re on the eve of Q1 earning season.
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!
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! .”
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?
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.
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.
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?
It helps if the information makes sense, so your DevOps, executives, or other people who have access to the data know what to do with it. Agents then simulate real users and collect data. Also called “passive monitoring,” the system collects data from users. Consider also public reporting.
Additional Isolation Options – Supplementary isolation approaches focused on compute and data Storage considerations. Compliance Requirements – perhaps the most significant drivers of isolation are Data Compliance and Consumer Safety/Privacy.These are critical factors driving an organization to opt for an isolation strategy.
Interested in data scientist roles? In this guide, we’ll explore the ins and outs of data scientist roles through detailed job descriptions and handy templates. TL;DR A data scientist is someone who uses their knowledge of statistics, programming, and specific industry expertise to extract meaningful information from data.
Service providers like Amazon Web Services (AWS), Google Cloud Platform, and Microsoft Azure offer server hosting and load-balancing services. Service providers like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure offer infrastructure services that support backend development.
Starting a career as a data scientist requires understanding the key steps, skills, and experiences needed for success. In this article, we will outline the typical journey for data scientists, covering educational requirements, entry-level positions, potential advancements, and long-term opportunities. Data Analyst (2-4 years) 3.
Ali Ghodsi, CEO and cofounder of Databricks, and Ben Horowitz, cofounder of a16z, explain the data wars happening inside and outside enterprises and how they could impact the evolution of LLMs. [00:38] Second, they’re super freaked out about the privacy and security of their data. So that’s 1, they just move slower.
Being in the subscription analytics space means data-intensive operations, large volumes, and the ability to often scale accordingly. We researched the market and discovered many tradeoffs and advantages a new provider could bring to the table. Our options were Amazon Web Services (AWS), Google Cloud (GCP), and Azure.
SaaS security assessment tools provide the flexibility and accessibility of cloud computing that ensure you follow security measures to protect data and applications. By doing this you're able to secure your users' sensitive data and become known as a security-conscious SaaS company.
This may include infrastructural support like storage, security, network equipment, and data centers, as well as comprehensive applications built to perform specific tasks. Virtualization of computing resources Helps manage large physical data centers for physical servers. You can get them all through cloud computing.
However, you will most likely view this finding from an IBM Security study to be the most compelling data point when deciding if now is a good time to look at your web application's security standards: Doesn't it then make complete sense to give your potential customers just what they're looking for?
API vulnerability scanner API security testing ensures business data packets that move between two software applications and ip addresses are secure. When you perform API vulnerability analysis using API scanning tools, you aim to secure data packets in transit using HTTPS. Remember the infamous Equifax data breach in 2017?
So, while the laws for cyber security and data protection are becoming more stringent around the globe, it is advised by NIST to integrate the right security testing tools in your SDLC and CI/CD process for continuous monitoring of security issues. AWS, Azure or GCP. Sounds too good? Book a demo to learn more.
GCP 23 35 52.2% Azure 26 33 26.9% 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.
With data breaches on the rise and regulations always changing, staying compliant in the cloud isnt just for the big guys – its a must for everyone, from startups tackling their first audit to enterprises keeping things above board. But with that convenience comes a new layer of security challenges and risks.
Whether youre dealing with sensitive user data, building a SaaS platform, aiming to get or stay compliant with ISO 27001 , SOC 2 , GDPR , or another key framework, or simply making sure your teams login info doesnt end up on the dark web, security for startups is a must. But theres one thing you really cant afford to ignore: security.
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