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From $1M to $3B ARR: Databricks CRO Ron Gabrisko on Scaling a Revenue Rocket Ship

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. His view is your sales team teaches your customers how to get value out of your product.

Scale 176
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A Look Back at Q1 '24 Public Cloud Software Earnings

Clouded Judgement

It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up). GCP data is a bit more noisy as they don’t disclose GCP itself, but rather Google Cloud which includes GSuite. The graph below shows the median net retention going back to 2020.

Cloud 318
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Founder’s Guide to Scaling Applications: When to Build, When to Buy and What Breaks by Algolia Co-founder (Video + Transcript)

SaaStr

When it comes to seamlessly scaling your applications, a top-notch engineering team will be your foundation. Julian Lemoine, Co-Founder, and CTO of Algolia will share his lessons learned on how to stay focused and innovative as you scale while also avoiding the innovation for innovation’s sake pitfalls. Of course, not at scale.

Scale 153
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Clouded Judgement 8.2.24 - Uncertainty Everywhere

Clouded Judgement

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. Top 5 Median: 14.4x

Cloud 157
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Understanding Multi-tenancy, the Keystone of SaaS

CloudGeometry

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.

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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

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?

Data 130
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Salesforce’s Mike Kreaden on how to build a platform to drive growth

Intercom, Inc.

Machine learning can get the right message or recommendation out in a responsive way – not just from the customer’s next best action, but from the sales perspective, too. We’re helping startups and scale-ups that are strategically aligned with Salesforce, which is actually very important in terms of actually delivering solutions.

Scale 151