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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.
Second, AWS, Azure and Google Cloud all grew nicely, and are still growing like a weed — but the growth rate slowed. AWS and Microsoft Azure all reported more customers scrutinizing spend and working to manage their bills more carefully. But AWS Says Cloud Under More Scrutiny. Perhaps as it should be.
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%. And the number of public SaaS and Cloud decacorns has fallen from 50 to 17. This puts a lot of pressure on all the private unicorns out there: We did a deeper dive on decacorns here.
But are AWS, Azure and Google Cloud just too big for us to learn from? Google Cloud continues its march upmarket, competing with Azure. AWS vs. Azure vs. Google Cloud is one of the greatest case studies of all time. Do they “count” like the scrappy start-ups in SaaS that have now become decacorns?
When I hosted this blog on Amazon Web Services, I used 5 products. That’s much more work than the automatic credit card payment with AWS. It’s too much complexity for a simple static blog. Perhaps this dynamic drives consolidation in the market, paralleling the web2 infrastructure hypermarts of AWS, GCP, and Azure.
And AI is obviously on fire, pulling up AWS, Google Cloud, Azure, etc. SaaS outside of classic “B2B’ is often holding up well. Klaviyo, Toast, etc. just had very strong quarters. More B2B2C there. Security remains on fire overall as well. But classic B2B SaaS is definitely in many cases seeing tougher times.
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.
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.
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. So we’ve talked about it often here at SaaStr, but things are just so … odd right now in SaaS. It’s very, very quiet at $300m+ valuations.
Shopify , Datadog, Crowdstrike , Google Cloud-Azure-AWS, Snowflake , etc. But many will find 2024, those stretches have stretched as far as they can. At the end of the day, 2024 may well be a year of Divergent Headlines. SaaS and Cloud growth overall will remain strong.
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.
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. . Blog post sponsored by Secureframe. For password management, 1Password and LastPass are popular options.
Another 5%-7% go to core infrastructure costs (AWS, Azure, Snowflake, etc). Typically support consumes about perhaps 5%-7% of your revenue at scale (excluding customer success) in most SaaS models. It could be more or less, but that’s a rough way to think about it.
Many have used Digital Ocean at the cheaper, simpler version of AWS-Azure-Digital Ocean to get going fast and quickly. And if so, maybe that’s Digital Ocean. If you haven’t heard of Digital Ocean, ask your developer. Growth has slowed the past year, but profitability? It’s gotten crazy good. Or at least.
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.
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.
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.
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.
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.
Amazon AWS, Microsoft Azure and even Google Cloud are on fire, adding insane amounts of revenue this year. And what you can see here from the Bessemer Cloud index is that Forward Revenue Multiples are at their lowest in 3+ years: And yet … even with a multiple crash since Peak Covid, times are still really good in SaaS.
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.
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. DuploCloud offers an end-to-end DevOps software platform for dev teams that don’t have dedicated DevOps engineers and augments those that do.
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.
DigitalOcean is growing more slowly than its mega competitors Azure, AWS, etc. . $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. More here. #2. But it’s still worth billions, in a very large market. #3.
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. If someone doesn’t want to switch from AWS because AWS has partnerships with OpenAI, they have tradeoffs.
The role of AWS, Azure, and Google Cloud Marketplace is becoming increasingly important. “45% Tackle.io’s 2021 state of cloud marketplaces report highlighted a similarly dramatic shift. In a 2020 survey, 22% purchased software through a cloud marketplace versus 60% in 2021.
I also want to mention – I use this blog as somewhat of a personal journal. In the short term, enjoy the ride as the chase continues 😊 Kind of related to all of this - we now have seen the Q4’s from AWS, Azure and Google Cloud. Follow along to stay up to date! It’s a place I collect my thoughts.
Going the Amazon Web Services (AWS) route? Your SaaS tech stack should ideally be powered by Python, React, and AWS programming combo. With Microsoft Azure, you have MySQL or PostgreSQL, which can be procured from the Azure portal. Related: Common Security Pitfalls of User Management. Working With Top Cloud Providers.
Cloud technologies (bonus) : Familiarity with cloud platforms like AWS or Azure can give you an edge in the job market. Best blogs for business intelligence analysts Blogs offer a wealth of information, from how-to guides and tutorials to thought leadership pieces and industry news.
You can see the growth on the platform side with Azure, Google, and AWS and how much it’s accelerating in AI. 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.
In this blog post, we will delve into the world of cloud computing, exploring recent trends and developments. Serverless platforms, such as AWS Lambda and Azure Functions, automatically scale resources based on demand, providing agility and cost optimization. It provides flexibility and scalability for cloud-native applications.
To excel, leverage resources like books (e.g., “Naked Statistics”), webinars (Userpilot Events, BrightTALK), blogs (Userpilot Blog, Kaggle), and podcasts (The Analytics Power Hour). Utilize cloud-based data platforms (AWS, Azure, Google Cloud) for scalable data storage, processing, and analysis.
In this blog post, we’ll delve into the five keys to automating usage-based billing for MSPs , with a particular focus on the vital role of data integration. Cloud Service Providers: Integrate data from popular cloud providers like AWS , Azure, or Google Cloud to track resource consumption and costs.
Utilize cloud-based data platforms (AWS, Azure, Google Cloud) for scalable data storage, processing, and analysis. Microsoft Certified: Azure Data Scientist Associate : For analysts working with Azure, this certification validates your ability to build and deploy machine learning models on the Azure platform.
So, in this blog we’ll show you how to keep your customers happy with a targeted retention strategy. As we’ve said in many previous blogs, deepening user engagement and progressing users along the customer journey is often a matter of showing more and more value over time. And remember – happy customers are paying customers.
Here are some notable examples: Cloud Computing Major cloud providers like AWS, Azure, and Google Cloud offer pay-as-you-go pricing, enabling businesses to access computing resources based on their actual usage. This approach has transformed the way companies manage their IT infrastructure.
It has tended to be used most in infrastructure platforms, like AWS, Google Cloud, and Azure. Usage-based pricing has been growing since at least 2018, when about a quarter of companies were using it, according to OpenView’s data. But that has been changing. Companies offering middleware and applications are now using it more.
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. Sam Jacobs: Hey everybody, it’s Sam Jacobs. Welcome to the Sales Hacker Podcast.
Utilize cloud-based data platforms (AWS, Azure, Google Cloud) for scalable data storage, processing, and analysis. Best blogs for data analysts By reading insightful articles, tutorials, and case studies, analysts can expand their knowledge, learn new techniques, and gain inspiration from industry leaders. Source: Glassdoor.
Utilize cloud-based data platforms (AWS, Azure, Google Cloud) for scalable data storage, processing, and analysis. Best blogs for data analysts By reading insightful articles, tutorials, and case studies, analysts can expand their knowledge, learn new techniques, and gain inspiration from industry leaders.
Bonus points : Experience with cloud platforms (AWS, Azure, GCP). Stay up-to-date with the latest trends and technologies by attending conferences, reading industry blogs, and participating in online forums. Experience with data visualization tools (e.g., Tableau, Power BI). Excellent communication and collaboration skills.
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