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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. So we have a mix of both, but I think as we’ve scaled it’s become an advantage. ” The lesson?

Scale 169
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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). It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up).

Cloud 318
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Thanks to ChartMogul, ChurnZero, Cledara, Secureframe, and Verdane for Sponsoring SaaStr Europa 2023!

SaaStr

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.

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The 4 Questions Startups Should Ask Themselves about Building with Generative AI

Tom Tunguz

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). The PC increased GDP by 0.006%, according to NBER That alone should turn heads.

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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.

Cloud 157
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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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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. The tenants can then access compute resources (Lambda or Azure Functions, etc.)