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Chronicles

The story behind the story

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Red Hat's big sale, disappointing exits of Hadoop-based startups and Pivotal show how public clouds like AWS affect business models of open source-focused firms

TL;DR: If the cloud didn't eat Hadoop Inc., Pivotal and Red Hat, what explains their diminished prospects?

Platformonomics Charles Fitzgerald

Context & Ripple Effects

The arc runs from 2015 optimism to 2019 consolidation. EMC's Pivotal open-sourced its big data stack and joined the Open Data Platform alliance, Hortonworks opened its public life with a $12.7M first-quarter revenue report that fell short, and HP abandoned its own public cloud effort citing competition and unprofitability — early signals that the layer these firms were built to monetize was being claimed by someone else.

Four years later the scoreboard confirms it: Pivotal's June guidance cut to $756M-$767M against $803M expected erased nearly half its market value, while Red Hat's first $371M quarter inside IBM's fifth consecutive down quarter could not stop the parent's decline. The sale of Red Hat, the diminished Pivotal, and the quiet exits of Hadoop-based startups are three endings of the same story.

First-order effects

  • IBM now owns Red Hat's subscription franchise, but its Q3 print showed that revenue landing inside a still-shrinking total — the acquisition must grow fast enough to outrun the core business just to justify itself.
  • Pivotal, after the guidance reset, sells platform services into a market where customers can procure comparable capability directly from AWS instead of licensing an intermediate layer.

Second-order effects

  • Hyperscalers absorb exactly what open-source firms charged for — distribution, patching, and running Hadoop-class and PaaS stacks as managed services — converting former ecosystem partners into direct competitors for the same workloads.
  • Independents lose pricing power on support subscriptions once the same software is offered managed at cloud scale, pushing them toward sale to services-and-hardware incumbents like IBM rather than independent growth paths.

Third-order effects

  • If the pattern holds, the open-source vendor model restructures around who operates the software rather than who develops it: specialists either exit via acquisition or contract to niches the clouds don't manage themselves.
  • Enterprise procurement of open source shifts toward buying it as a bundled cloud feature, concentrating bargaining power with a few hyperscalers and making standalone 'Hadoop Inc.'-style companies structurally difficult to sustain.

The trend: Public clouds keep converting open-source software categories into managed services, forcing the firms that commercialized them into sales, guidance shocks, or absorption.

Discussion

  • @codinghorror Jeff Atwood on x
    “the clouds seem to make a better business from open source than the companies built around particular projects” http://www.platformonomics.com/ ...
  • @carnage4life Dare Obasanjo on x
    Insightful overview of the challenges facing Open Source companies like Mongo, Elastic & Redis Labs when Amazon can host their software & provide consultants for cheaper & copy any proprietary add-ons they create. AWS is the black plague of OSS biz models http://www.platformonomi…
  • @samerkamal Samer Kamal on x
    So much goodness in here. How hyperscalers taunt #opensource & make it about the business model. #multicloud is in its infancy & how it could #opensource's true differentiator https://twitter.com/...
  • @charlesfitz Charles Fitzgerald on x
    “Claiming open source is eating the cloud is like coffee bean farmers claiming they're eating Starbucks” https://www.platformonomics.com/ ...
  • @marypcbuk @marypcbuk on x
    “If you squint, open source could be seen as a very generous charitable donation to some of the largest and wealthiest corporations on the planet” LOL https://www.platformonomics.com/ ...
  • @bassamtabbara @bassamtabbara on x
    “The next great open source endeavor may be to make multi-cloud a reality” https://twitter.com/...
  • @trengriffin Tren Griffin on x
    “Public clouds knit together transoceanic cables, concrete, a reliable flow of electrons, millions of CPUs, exabytes of disk, software runtimes, legal standing and an people providing 24×7 operations and support, accessible by anyone with a credit card...” https://www.platformono…
  • @jim_dowling Jim Dowling on x
    This article pithily captures the essence of the open-source vs cloud tete-a-tete that many of us open-source vendors have to confront: https://www.platformonomics.com/ ... by @charlesfitz