TL;DR
Open source used to be about passion projects and scratching your own itch. Now it’s about venture capital, cloud wars, and license drama. This is the story of how we got from „free as in freedom“ to „free but not if you’re AWS,“ and why some of the most beloved projects in tech are forking themselves into oblivion. Spoiler: it’s messy, necessary, and far from over.
🔥 Introduction
Picture this: you spend nights and weekends building an elegant piece of software. You open source it because sharing is caring. Fast forward a few years, and Amazon is making millions selling your code as a cloud service while you’re still trying to figure out how to pay rent with GitHub stars.
Sound like a bad joke? It’s the reality for a lot of open source developers today.
Not long ago, open source was the domain of idealists and hobbyists. Linux grew out of a Finnish student’s dorm room. MySQL was a Swedish passion project. Nobody was thinking about monetization because R&D came from universities and governments. You couldn’t pay your mortgage with warm fuzzy feelings, but that was fine because open source wasn’t about money.
Then reality hit. Hard.
Today, open source sits at the heart of billion-dollar industries. The question of who gets paid (and how) has become as critical as the code itself. This is the story of that evolution, complete with cloud wars, license drama, and enough forks to make a cutlery drawer jealous.
The Early Days: Hackers, Not Hustlers
In the beginning, open source was virtually synonymous with community. Think back to the 90s and 2000s: armies of developers contributing in their free time, coordinated by nonprofit foundations like Apache, Mozilla, and the Free Software Foundation. If you were talented, maybe you convinced your employer to let you contribute on company time. Maybe you landed a grant. But direct profit from open source? That felt almost heretical.
The mantra was „free as in speech, not free as in beer.“ The point was openness, not price tags. It was the rebels versus The Man, and making money wasn’t even on the radar.
Sure, there were success stories like Red Hat, founded in 1993 to sell services around Linux. But mostly, the open source world ran on volunteer energy, community goodwill, and maybe a sprinkle of philanthropic funding. Software was maintained by over-caffeinated grad students and eccentric coding gurus, and users were grateful it existed at all.
This model carried us surprisingly far. It built the foundations of the internet and the modern software stack. But as projects grew into critical infrastructure, cracks started showing. Maintainers burned out. Important bugs waited for someone to fix them. Projects with millions of users struggled to cover server costs.
Relying purely on volunteers was becoming unsustainable. The open source dream needed a dose of financial reality.
When Cloud Giants Crashed the Party
The plot thickened in the 2010s. Open source wasn’t a quirky sideshow anymore. It was running in every big company’s data center and powering the explosive growth of cloud computing.
That’s when things got spicy.
Tech giants like Amazon, Google, and Microsoft realized they could take popular open source projects and offer them as paid services, often without much (or any) compensation to the original developers. Imagine planting a public orchard, tending it lovingly, and then watching a mega-corp drive up, pick all the fruit, and sell it at a profit.
That’s how many open source creators felt.
Some in the industry bluntly accused AWS of „strip-mining“ open source, exploiting others‘ work and profiting without contributing back. One CEO was quoted saying AWS’s success was literally „built on strip-mining open-source technology.“
Ouch.
AWS, for its part, argued they weren’t doing anything illegal. Open source is free for anyone to use, right? They also pointed to all the projects they do support, from Linux to Kubernetes. Still, the optics were hard to ignore: hyperscalers were making billions by turning OSS into lucrative services, often giving little more than PR statements in return.
At the same time, a new breed of startup emerged: commercial open source companies. These were businesses built around open source projects, usually founded by the engineers who created the software. If anyone was going to make money from their code, it should be them.
Backed by venture capital and hungry for growth, companies like MongoDB, Confluent, Elastic, Grafana Labs, and Redis Labs popped up. They promised the best of both worlds: the innovation and community of open source, plus the professionalism and sustainability of a real business.
By the late 2010s, open source wasn’t a charitable hobby anymore. It was big business. Startups were raising huge funding rounds and IPO’ing, all while preaching community values.
But walking the tightrope between community-driven openness and investor-driven profit is no easy feat. These companies had to monetize software that was freely available without alienating the developers and users who made their projects successful.
They also faced the looming shadow of cloud giants. As soon as a project got popular, Amazon would offer it as a service, sometimes before the open source company itself could. Amazon’s managed Kafka service launched in 2018 before Confluent fully rolled out its own cloud offering, turning a community project into an AWS product overnight.
The result? Tension. Lots of it.
Open source maintainers and startups started looking for ways to protect their turf and their revenue. This is where our story shifts from pure community focus to the sometimes dark arts of monetization.
The Maintainer’s Dilemma: You Can’t Eat GitHub Stars
Before we dive into strategies, let’s empathize with the maintainers and founders behind OSS projects. These folks often start out just wanting to build something great. Money isn’t the motivator.
But when your code is running at massive scale, things get complicated fast.
Maintaining a popular open source project can quickly become three full-time jobs. Who pays for the servers to run a huge database cluster for testing? Who handles support requests from Fortune 500 companies using the project in production and needing urgent bug fixes? What happens when a critical security vulnerability is discovered at 2 AM? Who’s on call to patch it?
These aren’t hypothetical questions. They’re daily reality for successful OSS projects.
And if maintainers can’t find a way to fund their work, burnout and stagnation await. You can’t pay your mortgage with „thank you“ emails.
So monetization isn’t just greed. It’s often about sustainability and fairness. The people who create software the whole world relies on deserve to make a living and reinvest in improving the product.
In an ideal world, maybe altruism would suffice. In reality, the equation looks like this: no money, no time. No time, no maintenance. No maintenance, no project.
That’s why even the most idealistic open source maintainer eventually asks: „How do we keep the lights on?“
Enter the monetization playbook.
Strategy 1: Software as a Service (If You Can’t Beat ‚Em, Host ‚Em)
One of the most popular strategies is turning an open source project into a hosted service. The pitch is simple: „Yes, you can run our software yourself for free, but it’s a lot of work. Instead, pay us to run it for you in the cloud, and we’ll save you the headache.“
Think of it as giving away a cake recipe (open source code) but selling ready-made cakes (hosted service) to those who don’t want to bake.
This strategy aligns perfectly with the rise of cloud computing and the „as-a-service“ economy. Users love it because they get the power of open source tools without managing infrastructure. Companies love it because it provides steady revenue.
Examples are everywhere. Redis offers Redis Cloud. Confluent runs Kafka for you on Confluent Cloud. Grafana Labs hosts your dashboards on Grafana Cloud. Even projects without a single corporate owner see third parties doing this (AWS has services for just about every popular OSS database and tool).
Offering a hosted SaaS version has become almost a mandatory step for any serious open source venture.
The catch? This means competing directly with cloud providers on convenience and reliability. The original creators have the expertise advantage, but the cloud giants have deep pockets and an eager customer base.
That tension is exactly why some OSS companies felt compelled to explore more drastic measures (spoiler: license wars incoming). But as a starting point, SaaS has been a win-win: users get convenience, maintainers get cash.
Just ask Databricks. They turned the open source Spark data engine into a hugely successful cloud service, proving that packaging open source with great cloud infrastructure can indeed mint unicorns.
Strategy 2: Open Core and Dual Licensing (Free Core, Paid Extras)
Another prevalent approach is the open core model, often combined with dual licensing.
Open core means exactly what it sounds like: you keep the core of your software open source, but you develop extra features that are proprietary and available only to paying customers. It’s like a free car where the base model is solid, but the deluxe package (leather seats, turbo engine, fancy stereo) costs extra.
In practice, many companies identify features that only larger enterprise users want (advanced security, analytics dashboards, multi-team administration, enterprise authentication) and charge for those on top of the free open source core.
Grafana has a basic open source version for everyone and a Grafana Enterprise version with enhanced access controls and reporting that big companies are happy to pay for. The community gets the essentials gratis, while the vendor monetizes the power users.
Dual licensing often goes hand-in-hand with open core. Under dual licensing, software is offered under an open source license for community use and a separate commercial license for those who want to integrate it into proprietary products or avoid open source license obligations.
A classic example is the Qt framework, which for years has been available under GPL (free if you open your code) or a commercial license if you want to keep your code closed. The dual license says: „If you’re just an open source user, use it for free under GPL. But if you’re a company who doesn’t want to play by those rules, buy a commercial license from us.“
MySQL famously did this. It was GPL for open source use, but enterprises could pay for a proprietary license to embed MySQL without having to open source their own code.
Both open core and dual licensing try to strike a balance: generate revenue without completely shutting off the open source ethos. Purists sometimes grumble that open core isn’t „true“ open source (not all the code is open, after all). But it’s a compromise many projects have found workable.
It lets the broader community use and contribute to the core project, while the business can tell investors, „We have proprietary IP and guaranteed revenue.“
The constant judgment call: which features go into the open core versus the paid tier? Too few in core and the open source project feels like a lite demo. Too many and no one buys the extras.
The most successful open core companies iterate to find just the right split. Some, like Confluent with Kafka, even changed course over time, initially open sourcing many components, then later moving some to a proprietary license when they felt others (hello, AWS) were freeloading on their engineering effort.
Strategy 3: Enterprise Features and Support (Catering to the Big Fish)
If you’ve ever worked in a large enterprise, you know they have special needs and budgets to match. Open source companies have long tapped into this by offering enterprise-grade features and support contracts.
The basic idea: provide things big companies care about, and charge for them. This includes proprietary features, but also services like professional support, training, and consulting.
The support model is actually one of the oldest tricks in the book. It’s how Red Hat built a multi-billion dollar empire on top of free Linux. Red Hat’s model was: „The software is free, but if you want guaranteed updates, help at 3 AM, and someone to hold accountable when things go wrong, buy our support subscription.“
Companies found that deal quite reasonable. Rather than DIY’ing everything, it’s often better value to pay the experts who wrote the software to support and manage it. It’s like hiring a pit crew for your race car. Sure, you could fix your engine yourself, but wouldn’t you rather have the folks who built it on standby?
Many OSS companies mix and match these approaches. They might have a hosted service, sell an on-premises enterprise edition with extra features, and offer premium support contracts on top of that.
Confluent provides free open source Kafka, a paid „Confluent Platform“ with extra goodies (pre-built connectors, security plugins), and sells support or training to enterprise customers who run Kafka themselves. Grafana Labs offers a supported Enterprise edition for self-hosters who need enhanced security or compliance features, even as they also run a cloud service.
Support and services might not sound as sexy as cloud SaaS or proprietary features, but they play a crucial role. Often, they’re what convince conservative enterprise IT departments to use an open source project. „Don’t worry boss, we have Vendor X on the hook if anything breaks.“
This model leverages one of open source’s peculiar strengths as a business: many companies want to „buy from the people who wrote the code.“ The expertise and credibility of OSS maintainers becomes a selling point. It’s a very different dynamic from proprietary software. Here, the vendor’s advantage is deeper knowledge and a direct line to the code’s future development.
Strategy 4: License Lockdowns (Changing the Rules of the Game)
Now we come to perhaps the most contentious strategy in recent years: changing the open source license itself to be less, well, open.
Remember those cloud providers happily offering open source as a service? Some OSS companies decided that if existing licenses (like Apache or MIT) allowed that kind of exploitation, it was time to write new licenses that didn’t.
Thus began an era of license experimentation and controversy.
In some cases, projects moved from a very permissive license (Apache 2.0 or BSD) to a more restrictive open source license (like GPL or AGPL). In other cases, they abandoned „open source“ entirely (as per the strict OSI definition) and adopted so-called „source available“ licenses. You can see the code, maybe use it freely in certain ways, but with explicit prohibitions against offering it as a service or other commercial use by third parties.
Why such drastic measures? Because traditional licenses didn’t anticipate the cloud model. Licenses like GPL ensure if you distribute software you must share your changes, but what if you never distribute it? You just run it on your servers for millions of users. That loophole meant a company like Amazon could take Elasticsearch, deploy a modified version internally for a service, and never have to share those modifications.
„Not fair!“ cried the creators.
Their solution was to shift to new licenses that close the loophole. MongoDB led the charge in 2018 with the Server Side Public License (SSPL), explicitly designed to require cloud services using the code to open source their entire service (an intentionally onerous requirement that effectively forces them to negotiate a commercial license instead).
Elastic followed suit, re-licensing Elasticsearch under SSPL in 2021. Redis’s story was similar: for years it was BSD, but by 2023 the company felt the need to protect revenue and moved to „source available“ licenses, combining their Redis Source Available License (RSAL) with SSPL for some components.
As a result, Redis (one of the most beloved open source projects) technically stopped being open source. This infuriated many in the community. It felt like a bait-and-switch: something that was free and unfettered for over a decade was now behind license terms that could force users to pay.
Not every project that changed licenses went fully closed-source. Grafana took a more measured approach in 2021, moving from Apache 2.0 to GNU AGPLv3. AGPL is a strict copyleft license that requires you to open source modifications even if you only deploy the software as a network service. In other words, AGPL closes that SaaS loophole: if AWS took AGPL Grafana and changed it, they’d have to share their changes or violate the license.
Grafana Labs explicitly said their aim was to protect against cloud providers making proprietary improvements without contributing back. Unlike SSPL, AGPL is actually an OSI-approved open source license, which was important to Grafana’s founders. They emphasized staying true to open source ideals and not picking a license the community wouldn’t accept.
In a sense, Grafana tried to have its cake and eat it: remain open source, but use a license that gives them a fighting chance against the Amazons of the world. It’s a fine line. They risked making some users uneasy (AGPL has a „viral“ reputation), but they judged it was better than going closed or seeing a cloud vendor potentially fork their code.
The nuclear option (going fully proprietary or source-available) often triggers immediate backlash. The open source community feels betrayed, and there are real consequences: forks spring up to carry on the open source version of the project.
When Elastic changed Elasticsearch’s license, Amazon promptly teamed up with others to fork it into OpenSearch (under Apache license) and maintain that as a community project. When HashiCorp switched Terraform from MPL to a Business Source License in August 2023, it led to an exodus of the community towards a fork named OpenTofu, now under the Linux Foundation.
In each case, the message is clear: if an open source company pushes too hard, the community and industry partners will route around it, because the demand for truly open software is still strong.
License shifts are a double-edged sword. They might protect a company’s short-term business interests, but they carry the risk of community backlash and loss of goodwill. It’s a classic tragedy of the commons: if users feel the open source commons is being turned into a corporate walled garden, they rebel.
On the other hand, if companies feel others are unfairly freeloading on their work (remember that strip-mining metaphor), they argue they have to act.
There’s no consensus yet on where to draw the line, but we’re living through this grand experiment in real time.
Case Study: Redis (A Caching Champion Faces the Fork)
Redis is a blazing-fast in-memory data store (often used as a cache or realtime database) that became a poster child for open source success. Created by Salvatore Sanfilippo (antirez) around 2009, it quickly got adopted everywhere for its simplicity and speed.
Redis was free, open (BSD licensed), and hugely popular. So popular that various companies built businesses around it. Redis Labs (the company that hired Salvatore and stewarded the project) offered enhanced modules, an enterprise version, and a cloud service.
For years, this arrangement worked. The core stayed open source (BSD), Redis Labs made money on the side with closed-source add-ons and hosted Redis. But the cloud pressure kept mounting. Amazon had its own fully managed Redis service (Amazon ElastiCache for Redis) that made Redis available at the click of a button. And Amazon wasn’t sharing revenue with Redis Labs.
By 2018-2019, Redis Labs tried a stopgap: they added the „Commons Clause“ (a non-open-source addendum) to some of their add-on modules to prevent cloud providers from selling them. That sparked controversy, but the Redis core remained BSD, so the community mostly stayed calm.
Fast forward to 2023-2024: Redis Labs (now just „Redis, Inc.“) made a bold decision. They relicensed Redis itself, moving away from the free BSD license to a mix of their proprietary Redis Source Available License and SSPL for different components.
In effect, Redis’s core was no longer truly open source. The company was drawing a line in the sand, likely to force big customers into paying and to stop cloud providers from using new Redis versions without a commercial deal.
The reaction? Boom. A fork named Valkey appeared.
In March 2024, soon after Redis Inc. announced its license change, members of the Redis open source community, with backing from the Linux Foundation, forked the last open-source Redis code into a new project called Valkey.
Here’s the kicker: Valkey immediately garnered support from some of the biggest players in tech. Amazon, Google Cloud, Oracle, Ericsson, and others threw their weight behind Valkey as an open Redis successor. It was as if the industry said, „Okay, if Redis won’t be truly open, we’ll create one that is.“
AWS and friends had a vested interest (they want an open source Redis so they can keep offering it as a service without paying Redis Inc.), but they also pointed to the principle of keeping core infrastructure free.
Within months, surveys showed a majority of Redis users were aware of Valkey and many were planning to migrate to it. A report in late 2024 found that 83% of large enterprises surveyed were actively exploring or already using Valkey after Redis’s license change.
Talk about unintended consequences.
Another rising star in this saga is DragonflyDB, a separate project (not a fork, but a Redis-compatible store built from scratch in C++). DragonflyDB launched as a faster, multi-threaded heir to Redis with a permissive license. When Redis’s licensing started getting complicated, Dragonfly’s prospects only improved.
There’s also KeyDB, a multi-threaded fork of Redis that remained BSD and has its own niche following.
In short, Redis Inc.’s attempt to lock down revenue opened the door for multiple competitors promising „Redis, but truly open source (and maybe better performance too).“
From Redis Inc.’s perspective, they likely knew a fork was coming and calculated they could still differentiate. CEO Rowan Trollope downplayed the threat and noted that cloud providers had long benefited from Redis without contributing, so it wasn’t shocking they’d support a fork now. He essentially said, „We’ll out-innovate any copycats. We’ve done it before, we’ll do it again.“
Redis the product isn’t standing still. Redis Inc. is betting that their continued development (and brand name) will keep customers paying for enterprise features and support, even if open-source purists drift to Valkey.
It’s a bold bet. By one measure, Valkey had even more of the original Redis core developers involved than Redis Inc. did, since some key open source contributors jumped over to the fork. As one observer quipped on a forum, „Valkey has more of the original brains behind Redis than Redis Labs does now.“
Time will tell whether Redis Inc. can maintain its dominance or if the community-driven fork will gradually siphon away users. But one thing is clear: the decision to monetize via license change was a watershed moment. It galvanized big industry players to invest in an open alternative and forced users to rethink their loyalty.
Redis’s story shows how delicate the balance is. Push your community too hard (even for understandable business reasons) and you might spawn your own worst competition.
Case Study: Grafana (Open Source Guardians in a Cloudy World)
Grafana is another beloved open source project, known for beautiful dashboards and visualizations for metrics and logs. It started around 2014 as a fork of Kibana (Elastic’s UI, which itself was open source at the time) and quickly became the go-to tool for plotting time-series data and monitoring servers.
Grafana Labs, the company formed to support the project, had an interesting monetization ride. For years, Grafana was Apache 2.0 licensed (very permissive) and Grafana Labs made money by offering Grafana Enterprise (with extra features for large orgs) and Grafana Cloud (a hosted offering). They walked the open core line: all the core visualization goodness was free, but things like role-based access control, reporting, and enhanced data source plugins were part of the paid Enterprise version.
This model was working well. Grafana Labs gained a solid reputation and a lot of paying customers for both support and hosted services.
However, by 2021, Grafana Labs made a significant decision: they relicensed Grafana (and sister projects Loki and Tempo) from Apache 2.0 to AGPLv3.
AGPL is a copyleft license that closes the SaaS loophole. It forces anyone who modifies Grafana and offers it over a network to share their changes.
Why did they do this, especially when they already had a successful business? The company line was that they wanted to protect the project’s future and ensure contributions from all players, including cloud providers.
Raj Dutt, Grafana Labs‘ CEO, explained they purposefully chose AGPLv3 instead of a license like SSPL because they wanted to remain truly open source (OSI-approved) and keep the community’s trust. They had watched the backlash that hit MongoDB and Elastic when those went to non-OSI licenses, and Grafana Labs was determined not to be seen as „going to the dark side.“
So AGPL was a Goldilocks choice: stricter than Apache, but still bona fide open source.
Interestingly, Grafana Labs insisted this move wasn’t directly because of Amazon or any one cloud vendor. In fact, AWS is a partner. Amazon has a managed Grafana service in collaboration with Grafana Labs, and the companies have a commercial relationship. Grafana’s CEO noted that AWS’s partnership meant Amazon was not adversely affected by the license change (reading between the lines: AWS was effectively given an exception by being an official partner).
He diplomatically said he hoped other cloud providers would similarly „work with“ open source companies rather than just taking code.
The timing of Grafana’s license change did coincide with them raising a large funding round (over $75 million). Some observers speculated (likely correctly) that when serious VC money comes in, staying on a fully permissive license becomes harder to justify. Investors want to ensure the company has defensibility and profit potential.
The shift to AGPLv3 was met with mixed but largely muted response. Most Grafana users didn’t mind because AGPL doesn’t affect them unless they were modifying the code (and few do). A database expert even publicly praised Grafana for choosing AGPL as a way to protect from cloud exploitation without resorting to a proprietary license.
To date, Grafana’s approach seems successful. There hasn’t been a major fork of Grafana in response (likely because AGPL is still acceptable to the community – the code is open, after all). Grafana Labs continues to offer its enterprise and cloud products. If anything, the license change might have nudged more customers towards buying rather than potentially forking or customizing Grafana on their own.
Crucially, Grafana’s move highlighted a path that others might follow: adjusting open source licenses to ensure sustainability while still claiming the open source label.
It’s a bit of a tightrope act with legal nuances, but Grafana Labs demonstrated it can be done in a way that doesn’t incite rebellion. Their warm relationship with AWS (a strategic partner rather than an adversary) also shows that not every cloud company vs. OSS story is a fistfight. Sometimes there’s cooperation.
In the Grafana tale, we see a company proactively adapting its strategy to secure its future, using a licensing lever in a relatively community-friendly way. The trade-off was risking some users who fear copyleft licenses, but the benefit was a project that remains open source in spirit and letter, backed by a thriving business model of hosting and enterprise goodies.
Grafana’s story feels like a calmer chapter in our saga. No dramatic fork (so far), but an important evolution that other open source projects watched closely.
Case Study: Kafka (Balancing Community and Commerce)
No discussion of OSS monetization would be complete without Apache Kafka, the data streaming platform that became a core piece of modern infrastructure. Kafka was born at LinkedIn, open sourced in 2011, and later entrusted to the Apache Software Foundation. It’s fully open under Apache 2.0 license, and it grew a huge community.
Early on, Kafka’s creators formed a company, Confluent, to offer Kafka-based products and services. Confluent’s journey encapsulates the balancing act between open community and building a profitable company perhaps better than any other.
Since Kafka itself is governed by Apache (meaning Confluent can’t just relicense Kafka or control it unilaterally), Confluent had to build its business in a way that added value on top of the open source core. They did this through an open core model: Confluent packaged Kafka with additional tools like a Schema Registry, a REST Proxy, an advanced streaming SQL layer (KSQL), and dozens of connectors to integrate with other systems.
Initially, many of these add-ons were open source too. Confluent offered them as a package but anyone could use them. The monetization came from selling support subscriptions and eventually offering Confluent Platform (an enterprise bundle) and Confluent Cloud (a hosted Kafka service).
Then came the moment of friction. In late 2018, AWS announced its own managed Kafka service (Amazon MSK), essentially muscling into Kafka-as-a-Service.
Confluent wasn’t shocked (they had anticipated cloud competition), but AWS’s move accelerated Confluent’s strategic shifts. Within weeks, Confluent announced it would change the license on its previously open-source add-on components (like KSQL, connectors, etc.) to the new Confluent Community License. This license allowed free use of the software but explicitly forbade offering it as a SaaS product without Confluent’s permission.
They didn’t touch Apache Kafka itself (that stayed Apache 2.0), but effectively they said, „Okay, AWS, you can offer basic Kafka (we can’t stop you), but you’re not going to take our hard-built extras and do the same.“
Confluent’s CEO, Jay Kreps, diplomatically didn’t call out Amazon by name, but everyone understood the subtext. He framed it as a necessary step to ensure Confluent could continue investing in open source without being undercut by those darn large cloud vendors.
It was one of the first salvos in what became a broader trend of OSS companies revisiting licenses to protect themselves.
The community reaction to Confluent’s license change was relatively mild, partly because the core Kafka remained truly open source, and only the peripheral bits got the new license. Some open source die-hards grumbled that those pieces were no longer „open“ in the strict sense, but since Kafka itself was unaffected, there was no major fork or revolt.
In essence, Confluent drew a line around what they considered their „secret sauce“ and kept that off-limits to cloud competitors, while continuing to pour engineering effort into Kafka core (which benefits everyone).
It’s a nuanced balance. Confluent engineers are still huge contributors to Apache Kafka (they’re literally writing a lot of the code that even their competitors like AWS use), so they maintain cred in the community. At the same time, Confluent the company leverages that expertise to sell a better Kafka experience via their cloud service and proprietary features that big customers are willing to pay for.
The strategy seems to have paid off. Confluent went public in 2021, proving that an open source company can IPO even when competing with cloud giants. They have thousands of customers, many of whom likely started with free Kafka and then upgraded to Confluent’s offerings for convenience or advanced needs.
Kafka’s story with Confluent illustrates a „peaceful coexistence“ model in OSS monetization: keep the core open and thriving (so the community stays onboard), and simultaneously build a moat around the business (so you have something unique to sell).
The moat in Confluent’s case is partly their know-how and support, and partly those additional closed-source features which make Kafka easier to use at enterprise scale.
It’s not without challenges. Competitors like AWS still offer Kafka services (often appealing on integration or price), and other companies like Cloudera or smaller vendors also provide Kafka support. But Confluent’s bet is that by being the Kafka experts and pushing the technology forward, they’ll remain the go-to choice for serious adopters who don’t mind paying for quality and peace of mind.
So far, that balance is holding. Unlike the Redis situation where a license change triggered a massive fork, Confluent’s more measured approach to licensing didn’t fracture the Kafka community. It helped that they did it early, before those add-ons became as widely depended upon as Kafka itself.
The Kafka case shows an example of an open source company navigating the hyperscaler threat with a combination of open-core licensing and just plain old better service, without blowing up their community in the process.
What Happens Next? (Spoiler: It’s Complicated)
As these stories show, the commercialization of open source is a journey full of tightropes and trade-offs. We’re at a pivotal moment, a sort of identity crisis for open source.
On one hand, the old model of „just volunteers and foundations“ clearly isn’t sufficient for software the whole world relies on. Maintainers need a way to fund their work, and users (especially businesses) are often happy to pay for convenience, support, or enhanced features.
In that sense, commercialization has been a boon. It’s brought tons of investment into open source projects, made them more robust, and rewarded creators for their contributions. The fact that you can build a successful company and community around open source is something to celebrate. It means more open innovation with sustainable support.
Without some commercialization, many great projects might have withered or never been created in the first place.
On the other hand, the influence of big money (be it VC or cloud revenue) can pull open source in uncomfortable directions. When monetization goes against community expectations (say, a sudden license change that feels like a bait-and-switch), it risks backlash.
We’ve seen how communities respond: with anger, forks, and sometimes rival projects that threaten to erode the original’s popularity. The OpenTofu fork of Terraform in response to HashiCorp’s license change is a perfect example. A big chunk of the community (including major companies) basically said, „Fine, if you won’t be truly open, we’ll make a version that is.“
Similar dynamics played out with Elastic/OpenSearch and Redis/Valkey.
These rebellions underscore a core truth: the goodwill of the community is an open source project’s most valuable asset. Lose that, and even a well-funded company can find itself on shaky ground. Open source users have options, and they cherish their freedom. Any move perceived as too restrictive or greedy can prompt them to take their collective talents elsewhere.
The tension with cloud providers also remains unresolved. From one perspective, cloud platforms have helped open source reach a wider audience. Many companies use OSS because AWS/GCP/Azure made it easy to consume.
From another perspective, those same platforms have siphoned off revenue that might have gone to the creators, creating an unsustainable dynamic.
There’s a reason this era has been called by some a „fight for the soul“ of open source. Will it remain a community-driven ecosystem of freely available innovation, or will it fragment into a landscape of „open source-ish“ products guarded by quasi-proprietary licenses?
The likely outcome is a bit of both, as we’re already seeing. Some projects will stick to pure open source and rely on benign giants like foundations or big corporate patrons for support. Others will adopt new models and licenses to carve out commercial territory.
For the technically-savvy reader, what does this all mean? It means you’ll want to keep an eye on the licenses of the tools you use and understand the business context behind them. The database or tool you love might get an „open source upgrade“ (to AGPL, say) or a „source-available makeover,“ and that could affect how you use it or contribute to it.
It also means that as a community, developers and companies need to have honest conversations about sustainability. Paying for open source software (whether via a managed service, a support contract, or another means) shouldn’t be taboo. We all benefit from these projects, and ensuring maintainers are rewarded is healthy for the ecosystem.
The key is doing it in a way that preserves what makes open source special: collaboration, transparency, and user freedom.
🎯 Conclusion
The commercialization of OSS is not a betrayal of its principles but rather a complex evolution of them. Open source began with an ethos of sharing and collective benefit. Those remain, but now we acknowledge that someone has to foot the bill and keep the servers running.
The history we’ve traced (from volunteer-driven origins to cloud-fueled conflicts) shows a community continuously negotiating its values against real-world pressures.
The future will likely bring more inventive monetization schemes (open source on the blockchain with tokens? It’s been floated), more heated debates about what „open“ truly means, and hopefully, more successful projects that manage to be both community-loved and financially self-sufficient.
As we stand at this crossroads, one thing is clear: open source software is here to stay, and so are the questions of how to pay for it.
The challenge (and opportunity) lies in finding models that let innovation flow freely while ensuring the creators and maintainers of that innovation can thrive. It’s a delicate balance, but if there’s one community creative and idealistic enough to solve it, it’s the open source community itself.
After all, we’re the ones who turned a bunch of all-nighters and passion projects into the backbone of the modern internet. Figuring out a business model or two? Piece of cake, right?
Let’s just make sure it’s a cake we can all enjoy a slice of, for years to come.