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
My hope is that this analysis can provide startup entrepreneurs with a framework for how to manage their businesses around SaaS metrics (e.g., It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up). net retention and CAC payback).
Just how fast is SaaS and Cloud growing? After polling CIOs, Gartner found that total SaaS spend will grow from $100B in 2020 to $140B in 2022: A few interesting implications and learnings: The growth in SaaS buying should give you a +20% a year boost on top of your other sales and marketing efforts. Go grab your piece.
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’ll see 10,000 of the best SaaS founders, execs and VCs Sep 13-15 at 2022 SaaStrAnnual.com
We’ll see 2,500+ of the best SaaS founders, execs, and VCs June 6-7 at 2022 SaaStr Europa ! ChartMogul is an analytics platform to help you run your subscription business. ChurnZero is the Customer Success platform and partner for growing SaaS and subscription businesses. Grab tickets here. .
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%.
We help B2B SaaS marketers turn organic search into a source of repeatable revenue through software and coaching. DuploCloud offers an end-to-end DevOps software platform for dev teams that don’t have dedicated DevOps engineers and augments those that do. We’re redefining the space to drive results.
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). Usage & distribution, like in classical SaaS, are likely the most sustainable & repeatable.
” A surprising impact of the cost-cutting may be increased margins for SaaS providers on infrastructure as their own cost reductions manifest as margin improvements. And as a result, our salespeople are really not inclined to do much in GCP.” Consumption of unstructured data was up 17x year-over-year.”
We now have results from the three hypersclaers (AWS / Azure / GCP). The most notable change in tone was Andy Jassy talking about AWS. The promise of SaaS is that growth in the early years leads to profits in the mature years. ” Full quote below: “We're seeing a few trends right now.
Subscribe now Foundation Models Are to AI what S3 was to the Public Cloud Many people look at 2006 as the birth of the public cloud - the year Amazon launched AWS. 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.
Cloud Giants Report Q2 We also got the Q2 quarters from AWS / Azure / GCP this week! 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.
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%. Every week I’ll provide updates on the latest trends in cloud software companies.
” These are two quotes about AWS on the Amazon earnings call. AWS grew 16% in Q1, but called out growth in April (first month of Q2) was 11%. The promise of SaaS is that growth in the early years leads to profits in the mature years. Tailwind of new workloads starting to overtake headwinds of optimizations.
2020 left no doubt: the growth of cloud computing is firmly grounded in the SaaS business model. Investors like Bessemer have bet and made billions on the SaaS trajectory. Done right, multi-tenancy through tenant isolation delivers benefits to both you as a SaaS vendor and to your customers.
Next week we get all 3 hyperscalers reporting (AWS from Amazon, Azure from Microsoft, and GCP from Google). On AWS, in their Q4 earnings call they said AWS was growing “mid teens” in January (down from 20% in Q4). Every week I’ll provide updates on the latest trends in cloud software companies.
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. Q4’s were generally good!
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. Revenue multiples are a shorthand valuation framework.
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.” AWS reports next week. So what did we learn?
The hyperscalers (AWS, Azure, GCP) are seeing some uptick, but this is largely from selling compute (ie cloud GPUs). The promise of SaaS is that growth in the early years leads to profits in the mature years. It shows the number of months it takes for a SaaS business to payback their fully burdened CAC on a gross profit basis.
It’s less expensive than it’s ever been in terms of actually getting a product to market, whether it’s leveraging platforms like Salesforce or GCP or AWS or Heroku. That’s commonplace especially within enterprise SaaS, now. How to know when to become a platform.
For example, SaaS companies might deploy multiple cloud architectures in parallel and rely on more than one cloud service provider to house specific data sets or regulate available features for tiered customers. Examples of cost management software include in-platform cost optimization modules like GCP Billing and AWS Cost Explorer.
When you should conduct SaaS pentests / mobile app pentests to solidify your security posture. How to protect your cloud console with GCP/Azure/ AWS cloud console pentests. How to make your software or SaaS enterprise-ready so that you can sell more to larger B2B customers. Would that be helpful?
And we were using a solution from Amazon AWS… We had one big issue first, which was a number of regions they were supporting were not the same vendors. And we were using a SaaS product to monitor our infrastructure. And in a day, they were able to have something better than our SaaS solution.
Table Of Contents SaaS cloud security tools and SaaS providers act as a constructive bridge for cloud infrastructure and application protection. However, the path to SaaS cloud security can be challenging. Opting for cloud security as a service from the best SaaS provider and shifting left is the way to move forward.
The session, “SaaSOps: A Practice to Discover, Manage & Secure Your SaaS Apps,” which was presented on April 2, focused on the evolution of SaaSOps and the main pillars of the practice, and included a customer panel. SaaS has changed the way we work. SaaS has driven a best-of-breed world. If you missed it, here’s a recap.
There are various Cloud service models to choose from, like IaaS PaaS SaaS, and you may get confused while making a decision. Don’t worry; in this blog, we will help you know everything about the different cloud computing models like IaaS PaaS SaaS to decide which one will be best for your business. Therefore, keep reading!
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.
For a better understanding of this role, let’s break down the core responsibilities of a data scientist working in a SaaS company, for example: 1. Data acquisition and engineering: Data Extraction : SaaS products generate a ton of user data. Churn Prediction : Customer churn is a major concern for SaaS companies.
Bonus points : Experience with cloud platforms (AWS, Azure, GCP). For a better understanding of this role, let’s break down the core responsibilities of a data scientist working in a SaaS company, for example: 1. Data acquisition and engineering: Data Extraction : SaaS products generate a ton of user data.
Follow this easy process to include vulnerability assessment and management in your best-practice SaaS security program: Run vulnerability assessment scans every time you update a production or non-production environment. Great, Book My Demo How can software teams implement vulnerability management processes frictionlessly in their SDLC?
These automated SaaS security tools, ranging from open-source to professional-grade solutions, are integral in identifying vulnerabilities, assessing security risks, and protecting your web application from cyber attacks. AWS, Azure or GCP. Absolutely not!
Whether you’re using AWS, GCP, or MS Azure as your IaaS (Infrastructure as a Service) provider, hosting your data in the cloud doesnt automatically mean its secure. Without proper data security and cloud compliance measures, SaaS businesses risk security vulnerabilities , data breaches, and violation penalties.
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