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DigitalOcean is growing more slowly than its mega competitors Azure, AWS, etc. If nothing else, you can pretty reliability track headcount growth on LinkedIn). . $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.
As Google also reported, usage-based pricing models may weather downturns betterbecause the products they meter grow irrespective of headcount growth, a positive sign for infrastructure. Yesterday, Cloudflare announced earnings. I’m adding Cloudflare to the list of tracked companies for this series.
This is why the consumption players (Snowflake, Mongo, Confluent, Azure, AWS, etc) so more variability in the macro slowdown. Headcount planning, budgeting, fundraising, etc can often be largely based on a top line plan. .” Let’s look at consumption revenue - this is also not technically recurring! Do you have ARR or ERR?
On a much smaller scale, we’ve also started to see some leaders deploying their genAI budget against headcount savings, particularly in customer service. 2B run-rate revenue, including spend on OpenAI models via Azure. We see this as a harbinger of significantly higher future spend on genAI if the trend continues.
If you don’t want to manage all of the infrastructure around Iceberg (plus allocating headcount to do this!) Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS). Iceberg is one ingredient in the fully packaged Tabular lakehouse.
Even the giants like Amazon, Twitter, and Meta have been reducing headcount, with many other companies following in their footsteps. Some organizations call it offboarding, some refer to the event as a workforce reduction, some are calling it a strategic shift due to uncertain economic times, but in the end, lots of people are being laid off.
We will support exports to Amazon S3, Microsoft Azure Blob, and Google cloud storage. This year, we added 17 new members to our team, growing our headcount from 43 at the start of the year to 60 now (up 39% YoY). You can always visit the data output page within your ChartMogul dashboard for all your export needs.
Google Cloud , Azure, and GitLab, all tied directly or indirectly to AI, are seeing massive acceleration. But Google Cloud, Azure, and GitLab are all benefiting and on fire. We’ve been taught unicorn math to grow headcount faster than revenue, and maybe if you’re venture-backed, you can do it. Is there a bubble? Does it matter?
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