The Open Source Business Model Problem

Open source software powers the modern internet, but the companies behind it keep struggling to survive. Is there a sustainable business model for giving away code?

The Paradox

Open source software is everywhere. It runs the servers, databases, container orchestrators, programming languages, and frameworks that power virtually every technology company on earth. The combined value of open source software, measured by what it would cost to build from scratch, is estimated in the trillions of dollars. Yet the companies that create and maintain this software frequently struggle to build sustainable businesses.

This is the open source business model problem, and it has been the subject of intense debate for decades. How do you build a business around something you give away for free?

The Early Models

The first generation of open source businesses tried several approaches. Red Hat, founded in 1993, pioneered the support and services model: give away the software, charge for support, consulting, and certifications. This worked spectacularly for Red Hat, which built a multi-billion-dollar business and was eventually acquired by IBM for billion in 2019.

But Red Hat was the exception, not the rule. The support model works best for complex infrastructure software that enterprises need help running. For simpler or more focused tools, the demand for paid support is limited. Developers are resourceful. They read documentation, search Stack Overflow, and figure things out. Paying for support is often a last resort.

Dual licensing was another early model. MySQL, for example, was available under the GPL (free for open source use) or a commercial license (for companies that did not want to comply with GPL requirements). This created a revenue stream from proprietary software companies that wanted to embed MySQL. Oracle's acquisition of MySQL through its purchase of Sun Microsystems in 2010 complicated this model, and many of MySQL's original developers left to create MariaDB.

The Cloud Problem

The rise of cloud computing created an existential crisis for open source businesses. Amazon Web Services, Google Cloud, and Microsoft Azure took popular open source projects (Elasticsearch, Redis, MongoDB, and many others) and offered them as managed services. They handled the deployment, scaling, monitoring, and maintenance, and charged customers for the convenience.

The open source companies that created these projects found themselves competing with cloud providers who had vastly more resources, larger customer bases, and deeper integration with their platforms. Worse, the cloud providers contributed relatively little back to the projects. They took the freely available code, built a service around it, and captured the revenue.

This led to what some called the "strip-mining" of open source. The companies that invested years of engineering effort in building these projects watched as cloud giants monetized their work. The open source license, which was supposed to guarantee freedom, had become the mechanism through which large companies extracted value without reciprocating.

The License Wars

In response, several open source companies changed their licenses. MongoDB switched from the AGPL to the Server Side Public License (SSPL), which requires anyone offering the software as a service to release the source code of their entire service stack. Redis Labs introduced the Redis Source Available License for certain modules. Elastic changed Elasticsearch from Apache 2.0 to a dual license under SSPL and the Elastic License.

These license changes were controversial. The Open Source Initiative (OSI), the organization that defines what counts as "open source," declared that the SSPL and similar licenses did not meet the Open Source Definition. Critics argued that these companies were reneging on their open source commitments to protect their business interests. Supporters countered that the licenses were a necessary response to predatory behavior by cloud providers.

Amazon's response was telling. When Elasticsearch changed its license, AWS forked the project and created OpenSearch under the original Apache 2.0 license. This demonstrated both the power and the vulnerability of open source: anyone can fork the code, but maintaining a fork requires significant ongoing investment.

The Open Core Model

Many open source companies have settled on the "open core" model: a free, open source core product with proprietary extensions, features, or services available for a fee. GitLab, HashiCorp, Confluent, and many others follow this pattern.

The challenge with open core is finding the right boundary between free and paid. Give away too much, and there is no reason for anyone to pay. Hold back too much, and the open source version feels crippled, alienating the community. The boundary often shifts over time as competitive pressures change.

HashiCorp's 2023 decision to change Terraform's license from MPL 2.0 to the Business Source License (BSL) illustrates the tension. The BSL allows free use for most purposes but restricts competing commercial offerings. The community responded by forking Terraform into OpenTofu under the Linux Foundation. HashiCorp gained license protection but lost community goodwill.

Developer-Led Growth

A newer model focuses on developer adoption as a growth strategy. The idea is to build a tool that developers love, distribute it freely, and then sell enterprise features (single sign-on, audit logging, access controls, compliance) to the organizations those developers work for. This is sometimes called "bottom-up" or "developer-led" growth.

Companies like Datadog, Snyk, and Vercel have used variations of this approach, though not all of them are primarily open source. The model works when the free product genuinely solves a problem, developers adopt it enthusiastically, and their organizations are willing to pay for enterprise features. It fails when the enterprise features feel artificially withheld or when the free product is good enough that nobody needs the paid version.

The Sustainability Crisis

Beyond companies, the broader open source ecosystem faces a sustainability problem. Many critical open source projects are maintained by one or a few developers, often in their spare time, without compensation. The OpenSSL Heartbleed vulnerability in 2014 revealed that one of the most critical security libraries on the internet was maintained by a handful of people with minimal funding.

Initiatives like GitHub Sponsors, Open Collective, and Tidelift have tried to create funding mechanisms for individual maintainers and small projects. These have helped, but the funding rarely matches the value the software provides. A maintainer whose library is depended upon by thousands of companies might receive a few hundred dollars a month in sponsorships.

The Log4Shell vulnerability in December 2021 highlighted this problem again. Log4j, a ubiquitous Java logging library, had a critical vulnerability that affected millions of systems worldwide. The maintainers, who were volunteers, worked around the clock to produce fixes while the world waited. The contrast between the importance of the software and the resources available to its maintainers was stark.

What Works

Looking at the landscape of open source business models, a few patterns emerge.

Infrastructure complexity sells. Products that are genuinely difficult to operate at scale (databases, container orchestrators, observability platforms) can monetize through managed services because the operational burden is real and ongoing.

Enterprise compliance sells. Large organizations need audit logs, access controls, single sign-on, and certifications. These features are irrelevant to individual developers but mandatory for enterprises. This creates a natural boundary for open core models.

Cloud hosting sells. Many open source companies now offer their own hosted versions of their software, competing directly with cloud providers but offering deeper expertise and tighter integration.

Trust sells. When you use a managed service from the company that created the software, you are buying their deep expertise and commitment to the project. This is harder for cloud providers to replicate, though they try.

The Cloud Provider Problem

The most contentious issue in open source business models is the relationship between open source projects and cloud service providers, particularly Amazon Web Services.

The pattern is familiar: a company creates an open source database (or cache, or search engine, or message queue), builds a community around it, and monetizes through enterprise support and managed hosting. Then AWS launches a managed version of the same software as a service, offering it with better infrastructure, lower operational burden, and no obligation to contribute back to the project or share revenue with the original creators.

AWS has done this with Elasticsearch (Amazon OpenSearch), Redis (Amazon ElastiCache), MongoDB (Amazon DocumentDB), and Kafka (Amazon MSK), among others. Each case follows the same pattern: the open source license permits it, but the original creators view it as free-riding.

The companies behind these projects have responded in several ways. MongoDB adopted the Server Side Public License (SSPL), which requires anyone offering the software as a service to open-source their entire stack. Elastic relicensed Elasticsearch under the Elastic License and SSPL, then created OpenSearch as a fork. Redis Labs added the Commons Clause to its license, restricting commercial use. HashiCorp moved Terraform from the Mozilla Public License to the Business Source License (BSL).

Each response triggered controversy. Purists argue that these licenses are not truly open source (the OSI has not approved SSPL or BSL). Pragmatists argue that the alternative is for open source companies to go bankrupt while cloud providers capture all the value. The debate reveals a fundamental tension: open source licenses were designed for a world where software was distributed as installable packages, not one where software is consumed as a service.

Alternative Business Models

The search for sustainable open source business models has produced several approaches:

Open core: Offer a free open source version with limited features and a paid proprietary version with enterprise features (security, management, analytics). GitLab, Grafana, and Confluent follow this model. The challenge is deciding which features to keep proprietary without alienating the community.

SaaS with open source core: Run the open source software as a managed service, competing on operational excellence rather than code. Databricks (built on Apache Spark), Elastic Cloud, and MongoDB Atlas follow this model. The risk is that cloud providers can offer the same service with lower prices and better infrastructure.

Developer tools and services: Build proprietary tools around open source projects. JetBrains builds commercial IDEs for open source languages. Vercel builds a deployment platform around Next.js. This model works when the tooling or service adds value beyond what the open source project provides alone.

Consulting and training: The original Red Hat model. Give away the software, sell expertise. This works for complex infrastructure software but does not scale well because revenue is proportional to headcount, not to adoption.

Dual licensing: Offer the software under both an open source license (typically copyleft) and a commercial license for companies that do not want copyleft obligations. MySQL (now Oracle), Qt, and MongoDB (before SSPL) have used this model. It works when customers have a strong incentive to avoid copyleft.

Key Takeaways

The Venture Capital Angle

Venture capital has complicated the open source business model story. Companies like MongoDB, Elastic, Confluent, and HashiCorp raised hundreds of millions in venture funding. Investors expected returns proportional to the software's widespread adoption. When cloud providers captured much of the value, the companies faced pressure to change licenses or find new revenue streams.

The VC model creates a specific kind of pressure: the expectation of exponential growth. An open source company that grows at 20% per year and generates healthy profits is a successful business but a failed investment. The license changes that have angered the open source community are, in many cases, responses to investor expectations as much as competitive threats from cloud providers.

This tension suggests that the VC model may not be well-suited to open source infrastructure companies. Companies that provide fundamental infrastructure (databases, message queues, observability tools) may be better structured as profitable, slower-growing businesses funded by revenue rather than venture capital. The example of Basecamp/37signals (profitable, self-funded, and opinionated about staying small) provides a counter-narrative to the VC-funded hypergrowth model, though few open source companies have followed this path.

The Foundation Model

Some open source projects have found sustainability through foundations rather than corporate ownership. The Apache Software Foundation, Linux Foundation, CNCF, and Eclipse Foundation provide governance, legal protection, and fundraising for their member projects without the profit motive that drives corporate license changes.

Foundation-governed projects (Apache Kafka, Kubernetes, Eclipse) are protected from the license-change dynamic because no single company controls the project. The trade-off is that foundation governance can be slow and bureaucratic, and foundations depend on corporate membership fees and donations that can be withdrawn.

The Sustainability Question

The fundamental question underlying all open source business model discussions is: who should pay for software that everyone uses? The traditional answer (the software vendor) does not work when the software is free. The cloud provider answer (the customer pays for operations, not software) concentrates value in a few large companies. The foundation answer (corporate sponsors fund development collectively) works for popular projects but not for the long tail of critical but unglamorous infrastructure.

Some have proposed that open source infrastructure should be treated as a public good, funded by governments or industry consortia the way highways and electrical grids are funded. The Sovereign Tech Fund (Germany), which funds critical open source infrastructure, represents an early experiment in this direction. Whether this model can scale to cover the thousands of underfunded open source projects that the global economy depends on remains to be seen.

The open source business model problem is, at its core, a coordination problem. Everyone benefits from open source software, but no one has sufficient individual incentive to fund it adequately. Solving coordination problems requires either institutions (foundations, governments) or economic mechanisms (licensing, SaaS) that align individual incentives with collective needs. The search for the right combination continues.

The human dimension of open source sustainability is often overlooked. Many critical open source maintainers experience burnout, receive hostile communications from users who feel entitled to free support, and face pressure to maintain backward compatibility indefinitely. The emotional labor of maintaining a widely-used project is substantial: every breaking change triggers angry issues, every security advisory triggers blame, and every feature request implies an obligation. Addressing the business model problem requires addressing the human problem as well.

No Easy Answers

The open source business model problem does not have a clean solution. The tension between the ideals of open source (freedom, collaboration, sharing) and the realities of business (revenue, growth, competition) is inherent. Every model involves trade-offs.

What is clear is that the current situation is not sustainable for many projects and companies. The software industry depends on open source in ways that are difficult to overstate, and the mechanisms for funding that dependency are inadequate. Whether the answer is new licenses, new business models, new funding mechanisms, or some combination of all three, the industry needs to figure it out. The alternative, a world where critical infrastructure is maintained by exhausted volunteers and struggling companies, is not one anyone should want.