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GCP reported 37% growth & Microsoft 40%. With about 39% market share, AWS reigns supreme as the largest provider. Larger businesses face more daunting challenges sustaining higher growth rates, so AWS numbers are expected. Q/Q Growth Rate Change. All three businesses reported a decline in their growth rates.
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. Enterprise sales require a field presence, strategic account management, and a drive to go where your customers are. Pricing: Keep It Simple (At First) Databricks started with a simple, consumption-based pricing model.
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.
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).
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. Good news & bad news.
Currently, we offer Apache Kafka, Apache Cassandra, PostgreSQL, MySQL, OpenSearch, Redis, InfluxDB, Grafana, and M3 in more than 90 regions around the world on AWS, GCP, Microsoft Azure, DigitalOcean, and UpCloud cloud platforms. We enable customers to drive business results from open source that trigger true transformations.
Perhaps this dynamic drives consolidation in the market, paralleling the web2 infrastructure hypermarts of AWS, GCP, and Azure. Developers pay for low-latency storage with the same protocol token as they would pay for compute. Third, software engineers decentralize only a subset of the app.
Some well-known providers of SSO include Google Cloud Identity for companies using GSuite, Azure Active Directory for companies using Office 365, and Okta if you’re a larger company with more complex needs. . For password management, 1Password and LastPass are popular options. 3 – Get a Mobile Device Management (MDM) Solution.
Secureframe allows companies to get compliant within weeks, rather than months and monitors 100+ services, including AWS, GCP, and Azure. Secureframe helps companies get enterprise ready by streamlining SOC 2, ISO 27001, GDPR, CCPA, PCI DSS and HIPAA compliance.
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.
Secureframe allows companies to get compliant within weeks, rather than months and monitors 100+ services, including AWS, GCP, and Azure. Secureframe helps companies get enterprise ready by streamlining SOC 2, ISO 27001, GDPR, CCPA, PCI DSS and HIPAA compliance.
DuploCloud offers an end-to-end DevOps software platform for dev teams that don’t have dedicated DevOps engineers and augments those that do. The platform automates the provisioning of your application to the cloud (AWS, GCP, Azure), integrating cloud ops, DevOps, and security/compliance with 24×7 monitoring and support.
Secureframe allows companies to get compliant within weeks, rather than months and monitors 100+ services, including AWS, GCP, and Azure. Secureframe helps companies get enterprise ready by streamlining SOC 2, ISO 27001, PCI DSS and HIPAA compliance.
“Yes, we actually saw quite a bit of energy coming from the Azureplatform this quarter. And as a result, our salespeople are really not inclined to do much in GCP.” Microsoft will launch their Databricks competitor called Fabric soon.
In my 148 public SaaS companies (including most of the categories of this list but not AWS, Azure, GCP) the aggregate revenue is $185B. No matter what, the wave of enterprise spending that fueled 100 SaaS and Cloud unicorns is just getting bigger and strong. This is your time, folks. Go make it happen.
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). The PC increased GDP by 0.006%, according to NBER That alone should turn heads.
We now have results from the three hypersclaers (AWS / Azure / GCP). Subscribe now Cloud Giants Report Q1 + Early Look at Software Results Q1 earnings seasons has officially kicked off!
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. Azure called out an incremental $800m of costs expected throughout the year (they just finished their Fiscal Q1).
Cloud Giants Report Q2 We also got the Q2 quarters from AWS / Azure / GCP this week! A lot of companies report next week, we’ll see if they’re able to quell any fears!
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).
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.
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. That means we very well could see 27% be the bottom for them as well (assuming they beat their guidance). Then Q2 came in at 12% (must have seen improvements throughout the quarter).
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.
Next week we get all 3 hyperscalers reporting (AWS from Amazon, Azure from Microsoft, and GCP from Google). Let’s double click on Azure. Q1 Earnings Season We’re on the eve of Q1 earning season. The Q4 ‘22 growth rate was 38% YoY.
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.
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.
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! AWS reports next week.
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).
Anthos will let customers run applications, unmodified, on existing on-premises hardware or in the public cloud and will be available on Google Cloud Platform (GCP) with Google Kubernetes Engine (GKE), and in data centers with GKE On-Prem , the company says.
Anthos will let customers run applications, unmodified, on existing on-premises hardware or in the public cloud and will be available on Google Cloud Platform (GCP) with Google Kubernetes Engine (GKE), and in data centers with GKE On-Prem , the company says.
Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS). The warehouse is then optimized for efficient access (typically through SQL) to that data, with a number of other properties layered in (like governance, access, security, etc).
Some of these include: Create a cluster of nodes per tenant Use IAM and other platform constructs to prevent tenant boundary-crossing. The tenants can then access compute resources (Lambda or Azure Functions, etc.) For Pool based compute isolation, every node in a cluster is shared by various tenants.
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.
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. Additional features include: Mobile access Root cause analysis Hosted status pages SLA management Alerts and reports Support for managed service providers.
How to protect your cloud console with GCP/Azure/ AWS cloud console pentests. When you should conduct SaaS pentests / mobile app pentests to solidify your security posture. How to build application security into your software development lifecycle. How to prioritise and pick the right security related activities to do first.
Utilize cloud-based data platforms (AWS, Azure, Google Cloud) for scalable data storage, processing, and analysis. Experience working with cloud platforms (AWS, Azure, GCP) is desirable. Google Data Analytics, Microsoft Azure Data Scientist Associate).
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. Managed Kubernetes was another major factor to consider, and this was head to head with Google Cloud (GCP). Team expertise.
Alison Wagonfeld is the Chief Marketing Officer for Google Cloud. She’s responsible for both GCP, which is the Google Cloud Platform and for G-Suite, which is Gmail, Calendar, Sheets, Docs, all the stuff that we all use everyday. Welcome to The Sales Hacker Podcast. We’ve got a great show for you today.
Bonus points : Experience with cloud platforms (AWS, Azure, GCP). 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. Experience with big data technologies (Hadoop, Spark).
It will be like AWS, GCP, and Azure. How much do you think we’re going to get tons of specialization versus no, once the brain gets big enough and we do these fine tunings, that’s going to be it. Ali: I think the answer is closer to the latter. It’s going to have lots of specialization.
Now this is a very generalized security checklist for cloud security, but this area of cyber security is becoming increasingly important as enterprise applications and workloads move to public clouds and business processes become more dependent on cloud services.
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