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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. The post Atlassian and AWS Say: “Maybe Worry a Little Bit” appeared first on SaaStr. IT budgets come from the cash generated from selling end products to people.
cons is closer to 16% growth — Jordan Novet (@jordannovet) April 13, 2023 So Amazon came out with its latest annual shareholder letter and it was even more cautious on AWS growth than I was expected. AWS said they weren’t going to push folks to sign punitivate contracts, or block downgrades, etc. Lower than I predicted.
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.
For this reason, we chose to run exclusively on AWS and wherever possible, we make use of battle-tested AWS services, be it RDS Aurora for our relational databases, the Simple Queue Service (SQS) for our async workers or ElastiCache for our caching layer. This post is a version of a talk I gave at Elastic Community Conference recently.
This post is an adaptation of a talk I recently gave at the Amazon Web Services (AWS) community day event in Dublin about the technical strategies I’ve experienced that don’t work and the ones that have helped us to grow and scale at Intercom. At Intercom, we’ve found success running Lambda as glue code between AWS services.
SaaStr 644: Lessons Learned in Scaling Early-Stage to Hyper-Growth Companies: From VMware, AWS and Databricks with Databricks SVP and GM Ed Lenta 2. Lessons Learned in Scaling Early-Stage to Hyper-Growth Companies: From VMware, AWS and Databricks 2. When You Fall Out of Product-Market Fit Is Cold Calling Dead?
With so many incredible sessions to choose from, we thought we’d highlight a few for you here: Building & Scaling Global Product Teams. Why Customer Success and Product Should be Best Friends: Lessons Learned with AWS’ Head of Customer Success Harini Gokul. Why Customer Success and Product Should be Best Friends.
How does a team scale and measure a devrel team? Head of developer relations at Temporal , Shawn has worked on React and serverless JavaScript at Two Sigma, Netlify and AWS. Many products enter an organization bottoms-up, and months or years later, become so important to the company, they buy a contract.
In 2006, after Amazon Web Services (AWS) helped pioneer what we now call the cloud, product development changed forever. Today, one-third of daily internet users visit websites built on top of AWS. AWS is now an $11.5B Working backwards isn’t a silver bullet that guarantees you success on the scale of AWS.
The cloud data lake architecture enables companies to achieve scale, flexibility, and accessibility. The conference features talks from practitioners and open-source leaders from the ecosystem from Netflix, Microsoft, Expedia, AWS, and Preset. A vital part of a cloud data lake is the open format of data.
Examples include AWS, Adobe, Microsoft, and Google Cloud. This early phase is where you’re still looking for that perfect product-market fit and scaling the product to market. And remember to scale. Says Caimi: “Phase two for a software company is once you’ve got that product-market fit, it’s all about scale.
Scaling Early-Stage to Hyper-Growth Companies With Ed Lenta, SVP and GM of Databricks Back in the early 2000s, people didn’t entirely accept that a virtual machine could be as good as a physical one. Ed Lenta, the SVP and GM of Databricks, had the rare opportunity of scaling three hypergrowth companies — VMware, AWS, and Databricks.
In 2014, storage had historically been Dropbox’s most significant cost driver, with hundreds of millions of dollars spent on AWS. You must build a lean, impactful team to help your business scale. In its early days, the company made many decisions that boosted user growth, but there wasn’t deep thought about the cost implications.
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. AWS’s marketplace has seen 1.5 But also it’s allowed us to get much closer to our provider, I mean, we host and run 100% on AWS, but pull data from everywhere.
It really is almost everyone at SaaS that is at scale and has a winning brand. AWS accelerated to 37% YoY growth , up from 32% last quarter. Many of whom really are more proxies for the web overall (Zendesk, everyone needs support) and SMBs using the web to run and scale their businesses (HubSpot). Now is your time, folks.
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?
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.
Most large-scale AI products have yet to be built. AWS & others have stopped charging to move data. AWS cut prices more than 100 times in its first five years. Google is on a trajectory to invest $50 billion this year. Amazon & Microsoft are also deploying similar tens of billions for the same purpose.
It’s a familiar problem for all companies that scale fast – how do you keep your core technologies manageable for the increasing number of teams that depend on them? Instead, it would be an internal core technologies team that would take long-term views on how we build and scale Intercom. Scaling to Rails.
Instead of requiring a scale-out database in the sky, most analyses are faster with an optimized database on your computer that can leverage the cloud when needed. For the last ten years, the data ecosystem has focused on big data - the bigger the data set, the more exciting. But most workloads aren’t massive. Motherduck raised a $12.5M
But as Shopify scaled, its revenue as a percent of commerce on its sites — “Merchant Solutions” — began to eclipse its recurring SaaS revenues. First, Snowflake rolls its large customers into fixed comittments (as does AWS and many others), and bills them in advance. And yes, it’s a software company.
“Lessons Learned in Scaling Databricks, AWS, VMWare and More” with Databrick’s SVP and GM Ed Lenta #3. The Top 5 Lessons Learned Scaling Databricks’ to $1.5B The Future of AI, Open Source and Enterprise SaaS with Databrick’s Founder CEO Ali Ghodsi: #2. ARR with VP Product Nadim Hossain #5.
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. They are the Cloud.
Prior to HashiCorp Adam was the Head of Worldwide Developer Marketing at AWS and held senior positions at Pivotal, VMware, and SpringSource. With two decades of experience, Adam is well-versed in developer evangelism. My partner Astasia Myers will be leading the discussion. She writes often on topics like these on our blog Memory Leak.
Whether you’re going from nothing to something or already scaling and thriving beyond $10-100M, healthy, sustainable growth in SaaS is on every founder’s mind. Cockroach Labs’ CEO Spencer Kimball shares hard-won lessons from scaling from $0 to $5B and his time as an angel investor for more than 80 different startups. Ideas Are Cheap.
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.
So many of the Best of the Best are growing at crazy rates at scale, from Canva to Databricks and Wiz and more. : So at those growth rates, sky high valuations at the growth stage are arguably merited, at least in theory. Databricks is Growing 60%+ at $2.4 Billion in ARR. And Accelerating. IMHO, it’s justified for a Wiz or two, for sure.
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.
CloudKeeper from TO THE NEW, is a cloud spend optimization solution that guarantees to cut down your AWS bills by 5-15%. With CloudKeeper, we have helped 200+ of our customers optimize their AWS spend with a guaranteed reduction in their AWS bills. Join these incredible companies to experience all the value of SaaStr!
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? AWS vs. Azure vs. Google Cloud is one of the greatest case studies of all time.
They were $1.7B+ ARR in October , so let’s call it close to $2B at the end of the year, growing 40%+ at that scale –and profitable! (or 300 Employees Working on AI Not a surprise, but interesting to see the scale of investment here. #5. But we at least know enough to put together 5 Interesting Learnings!
Enough to pay some salaries and AWS bills, but it’s not that much. A related post here: 6 Things in SaaS That Are Only Obvious At Scale. Yes, you now know how to make customers successful and happy now. But it is so slow. You have 2,000 customers now. But at $10/mo, that’s still just $20,000 a month.
AWS can’t support 20 partners equally. When partnering with big folks like Drata does with AWS, you have to bring business to them. Drata was one of three companies mentioned on stage by AWS’ Head of Partnerships because they did the most transactions on the marketplace than any other company. That’s a high value for AWS.
SaaStr 644: Lessons Learned in Scaling Early-Stage to Hyper-Growth Companies: From VMware, AWS and Databricks with Databricks SVP and GM Ed Lenta 4. Lessons Learned in Scaling Early-Stage to Hyper-Growth Companies: From VMware, AWS and Databricks 5. SaaStr 643: What’s Holding Up Buyers?:
Get ready for 50+ speakers for the very first SaaStr APAC event in Singapore, including: APAC Update: State of the Cloud with Bessemer Venture Partners , Anant Vidur Puri, Partner at Bessemer Venture Partners Lessons Learned in Scaling to $1B ARR: From VMware, AWS and Databricks with Databrick’s SVP and GM Ed Lenta The Secrets to Building (..)
While the data ends here, here’s what I can tell you I am seeing in growth rounds today: Very few growth rounds are happening at all When the do happen, they are for capital efficient startups growing > 50% at scale And … the peak valuation is about 15x. Even If It’s Awful for Series A-E Rounds. For the best ones.
Google Cloud Platform, on the other hand, is in a very different set that also competes with Microsoft, but AWS is considered their biggest competitor in the market. What they’re seeing with GenAI and Google Cloud is an opportunity to grab share from AWS. Right now, 70% of the GenAI startups are using Google Cloud.
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?
Overall Cloud spending has bounced back off lows for sure: AWS at a $105B run rate growing 19% Quarterly YoY growth trends below. Yes, AI has fueled Nvidia and Google Cloud and Microsoft and AWS to massive growth, and growth that has accelerated the past few quarters. OneStream had an epic SaaS IPO at $500m ARR, growing 34%.
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?
And also while many of the above names had seem growth slow at scale, bear in mind they are all awfully good SaaS companies. So I’d suspect the underlying SaaS companies were trading around 5x-6x or so on average. You might be worth less ? is interesting to see.
Seat Contractions Have Brought NRR Down From 120% to 111% While 111% NRR is still quite an engine at this scale, the drop in NRR from seat contractions explains a good chunk of the headwinds Okta has seen. #2. AWS alone generated $175m of contract value for Okta, growing 130%. 5 Interesting Learnings: #1.
Being Multi-Platform / Multi-Product Key at Scale A story we’ve seen many times. 64% of Large Customers Sourced From Partners They are AWS’s largest cybersecurity partner. The majority of their customers use 5 or more modules. #3. ” #7. What’s your channel / partner strategy? #9. Only Founded in 2011.
Call me when it scales.” The point is that getting to $1-2 million in ARR probably has less predictive value concerning a company’s ability to get to true scale than most people think – or at least thought some years ago. Being a seed investor I’m trying to find SaaS companies that can scale before they have scaled.
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