Hortonworks seeks salvation in proprietary software

2 min read

Three years ago Hortonworks led a chorus of open source Kumbaya as it sought to differentiate itself in the rapidly growing Hadoop market. Today, Hortonworks has significantly changed its tune, embracing proprietary software as a way to improve its financials.

The only shocker here is that it took so long.

Last month I declared that “there’s no money in open source.” While open source has become essential for every business, selling open-source software is an exercise in self-hurt and business model gymnastics. Hence, the most successful open source companies aren’t open source companies at all: They’re companies like Facebook that liberally embrace and contribute open-source code, but don’t sell it.

Hortonworks tried to beat these odds and follow Red Hat, the one company that has managed to build a profitable, ever-growing open-source software business. Though the company has delivered impressive top-line revenue growth, it remains far from profitability in a fiscal environment that increasingly demands sustainability. With Hadoop adoption nearing 100 percent, according to Forrester, Hortonworks needs to find a better model for getting paid for all that adoption it has helped to foster.

As reported by The Wall Street Journal, Hortonworks “will [soon] offer proprietary software, built by other companies or in partnership with Hortonworks, that would run on an open-source platform.” While the company appears to be trying to keep its hands unsullied from that proprietary software by having others develop the code that it sells, it’s definitely a big shift in strategy.

After all, this is the company that fretted about proprietary software fragmenting the Hadoop ecosystem, and chided those that adopted an “Open Core” model.;

 

Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.