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Amazon/AWS and Atlassian both had huge Q2’s. But both Atlassian and Amazon/AWS said … Maybe Not As Much Going Forward, Not Forever. Azure and Google Cloud also saw growth begin to slow. The post Atlassian and AWS Say: “Maybe Worry a Little Bit” appeared first on SaaStr.
With Databricks now one of the largest pre-IPO technology companies, with $10 billion of expected non-dilutive financing and a valuation of $62 billion, Ron’s insights are gold for any revenue leader looking to scale. So we have a mix of both, but I think as we’ve scaled it’s become an advantage. ” The lesson?
Atlassian noted a decline in Free to Paid conversion, but importantly, no decline in demand for their products: Amazon: We’re Seeing Strong But Slowing Growth at AWS to 28%, Albeit at a Stunning $82B Run Rate. Cloud Giants Update: AWS (Amazon): $82B run rate growing 28% YoY (last Q grew 33%). More on that here.
So follow AWS, Azure and Google Cloud. Let’s look a whole level up to the real canaries-in-the-coalmine: AWS, Azure and Google Cloud. And AWS grew 37% at a $74B run-rate , down a bit from 39% the prior quarter but still adding an insane amount of new revenue. If they stumble, we’re in for a rough patch.
At the same time, the leaders in Cloud (AWS, Azure, Google Cloud) are growing a stunning 40%. Growing at a pace and scale like we’ve never seen before: That’s got to be the most visceral juxtaposition in my time in SaaS. This puts a lot of pressure on all the private unicorns out there: We did a deeper dive on decacorns here.
So we’ve had a lot of fun in our 5 Interesting Learnings profiling the top SaaS and Cloud companies at scale, from Slack to Zoom, from Shopify to Datadog, from Box to DropBox. But are AWS, Azure and Google Cloud just too big for us to learn from? Google Cloud continues its march upmarket, competing with Azure.
They typically give them just enough to see if it will work, and the startup grows and scales to the next stage. Shopify , Datadog, Crowdstrike , Google Cloud-Azure-AWS, Snowflake , etc. VC finance is designed to fund 18-24 months of runway. That’s how it works. VCs don’t give startups 10 years of capital.
This episode is an excerpt from a session at SaaStr Scale. 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 Jabari Norton, VP WW Partner and Alliances, Sumo Logic.
Many have used Digital Ocean at the cheaper, simpler version of AWS-Azure-Digital Ocean to get going fast and quickly. But at scale, even the slightly less long version of the tail is where the money is. And if so, maybe that’s Digital Ocean. If you haven’t heard of Digital Ocean, ask your developer. Or at least.
A few of us are seeing no macro impacts, but probably the biggest tell are Cloud platform giants — AWS, Azure and Google Cloud. All are still growing at very strong rates. But all are growing more slowly than a year ago, and even more so than 2 years ago. But they are still growing. The Cloud is still growing.
Typically support consumes about perhaps 5%-7% of your revenue at scale (excluding customer success) in most SaaS models. Another 5%-7% go to core infrastructure costs (AWS, Azure, Snowflake, etc). Dear SaaStr: What is The Average Ratio of Support Staff to Customer Count in SaaS?
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).
Growth in public cloud services (AWS, Azure, Google Cloud, Snowflake, etc.) In fact, In fact, Gartner sees overall global software spend growing faster in 2024 than 2023, a very health +13.8% — and crossing $1 Trillion in total spend for the first time! But it’s not that simple.
Focusing on smaller developers, in some ways it’s been a bit overshadowed by AWS, Azure, and Google Cloud. DigitialOcean doesn’t want to take AWS, Azure and Google on in the enterprise and doesn’t really try. So DigitalOcean is the quiet Cloud platform that keeps on growing.
ChurnZero lets your CS team manage and expand accounts at scale with proactive, personalized engagement that helps every customer succeed. Our best-in-class app tools, automation, dashboards and reporting help you drive strategic customer conversations, boost productivity and scale effectively.
Amazon AWS, Microsoft Azure and even Google Cloud are on fire, adding insane amounts of revenue this year. And generating real cash flow at scale. #2. Customers are buying more than ever. The top SaaS and Cloud leaders are even accelerating at $1B in ARR, for goodness sakes!!
What should founders know about the modern AI stack that Enterprises can scale on? Historically, Cloud platforms like AWS and Azure help with the sporadic needs of renting a GPU for a few hours for training vs. long-term use, which would cost thousands of dollars. They’ll need GPUs. What do you do instead?
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). It’s likely startups start at plug-ins & then move down with scale that affords more usage & more capital to invest.
Nimble has migrated its market-leading SaaS CRM from Amazon Web Services (AWS) to Microsoft Azure. The migration enables Nimble to tap into Microsoft’s world-class Azure platform and partner ecosystem to scale.
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.
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!
The most triumphant transfer of control from an original generation leader to a new CEO was surely that of Microsoft, which pivoted from chasing after Apple’s success in the consumer space under Steve Ballmer (don’t mention Nokia ) to successfully focusing on the cloud under Satya Nadella (please do mention Azure). The scale is extraordinary.
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. If we break this down and look at Azure and AWS independently (graphs below), you’ll see how the AWS “swings” were a lot more volatile.
Cloud Giants Report Q2 We also got the Q2 quarters from AWS / Azure / GCP this week! ” Then Microsoft said this: “To meet the growing demand signal for our AI and Cloud products, we will scale our infrastructure investments with FY '25 capital expenditures expected to be higher than FY '24.
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. And that’s exactly why we created a playbook to help companies scale to $100+ million ARR with this model. Ready to scale to $100+ million ARR?
I just thought that if there was anybody left at the end of day two that had anything they wanted to talk about, scaling SaaS, fundraising, hiring, anything, and I could be helpful, we could do a little extra Q&A. I’m going to get the numbers wrong, I think Amazon has 10,000 open positions out in AWS. It works out.
It is the secret to effective tiering and scaling. Given the speed and intensity of competition in this market, it’s essential to SaaS success at any scale — and at any point on the lifecycle of your SaaS product offering. Let’s take a closer look at what that means and how it works.
But I'm not here to talk about hyper-scale, public clouds such as Amazon Web Services (AWS), Azure, or Google Cloud. I want to talk to you today about clouds. They're great, but for many, they're overkill.
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. Managed databases.
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.
As explained in the first part of this series, we clearly saw why Software-as-a-Service (SaaS) is the way to go when it comes to establishing self-serving applications that can be scaled up and developed fast(er). Scale up (or down) fast Better Latency – Access points all around the world for better performance.
If you want features in your lakehouse (on top of open source Iceberg) for ingestion, CDC, streaming (file loading, Kafka connect, etc), schema evolution, compaction, optimization, time travel, snapshots, auto-scaling, maintenance (no more writing spark jobs to delete snapshots!), A natural question is “why do we have two tiers?
You can see the growth on the platform side with Azure, Google, and AWS and how much it’s accelerating in AI. Or Scale AI securing $1B. To some extent, it’s not clear. Maybe endless price increases,” Jason says. A lot of it is moving to versions of AI. How does a startup benefit from this? Dell fell 15% last week.
Instead, they pay for access to infrastructure through the cloud through companies like AWS, IBM, and Rackspace. Serverless computing automatically scales with your business, but you’ll give up some control. These businesses can use infrastructure as and when they need it, scaling as their business grows and shrinks.
Serverless platforms, such as AWS Lambda and Azure Functions, automatically scale resources based on demand, providing agility and cost optimization. Kubernetes, an open-source container orchestration platform, has gained popularity for automating container deployment, scaling, and management.
Your tech stack not only defines the backbone of your business operations but also influences your ability to innovate, scale, and deliver exceptional value to your customers. Service providers like Amazon Web Services (AWS), Google Cloud Platform, and Microsoft Azure offer server hosting and load-balancing services.
It’s suitable for businesses wanting control over their infrastructure and the ability to scale. Key examples are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, which provide scalable resources like virtual servers and storage. What are the benefits of the SaaS model? Microsoft Dynamics 365.
Windows Azure — Built on their Azure platform, this offering from Microsoft allows developers to use Windows through a cloud-based virtual desktop and develop applications from anywhere using Visual Studio Online. AWS — Amazon Web Services is perhaps the most used of the cloud infrastructure options.
Achieving RBAC at scale. Achieving RBAC at scale. Scale becomes an additional challenge when managing user lifecycles across an entire digital workplace with tens or hundreds of SaaS apps. With Azure RBAC, access to resources is controlled by role assignments. In AWS, these attributes are called tags.
Justin Bedecarre: And then another client of ours is an international company that has decided that they truly want to scale up in San Francisco. We don’t know when we’re going to be able to get safely back at scale. Is AWS in the lead? And they’re going to reduce their commute by 45 minutes.
The Mosaic guys just figured out how to do that at scale for others. Ali: There’s a scaling law. If you’re scaling the parameters up, you have to scale the data with it. If you don’t have that, you’re not going to get the bang for the buck from scaling. It will be like AWS, GCP, and Azure.
At Snowflake, he was the first rep and single-handedly built the outbound-engine on the way to scaling the business from pre-revenue all the way past $150M+ in ARR. We are native to the cloud, we are on AWS, we are on Microsoft, Azure, and next year we’ll be on Google Cloud as well. We started building that in 2012.
A cloud server, like an AWS EC2 instance, is still a server. The only difference is that it is sitting in AWS' datacentres, rather than in your office. Everything that you read here is relevant to you whether you host your own web applications or use a cloud platform like AWS. Not really.
Tackle can give you access to the AWS, Azure, and Google Cloud platforms and your end customer can purchase your solution through those marketplaces, which can streamline the entire process and help you skip a bunch of steps. Tell us more about your thoughts about process and why it’s so important to scale.
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