Why Open Source Isn’t Free: History, Commercialization, and Cloud Challenges

History of Open Source and Free Software

In the early era of computing software was treated as shared knowledge and was bundled for free with hardware. As hardware matured, software acquired independent commercial value and became a product sold separately, leading to the closed‑source dominance of companies such as Microsoft. In response, the free‑software movement was founded by Richard Stallman in 1985 (Free Software Foundation, GNU Manifesto). Stallman introduced the concepts of Copyleft and the first GNU General Public License (GPL v1, 1989) to guarantee that software could be freely used, modified and redistributed.

The term Open Source was coined at a 1998 conference in Mountain View. Open‑source licenses keep the source code publicly available while allowing copyright and patent protections that do not forbid commercial exploitation.

Commercialization of Open Source

Open‑source projects benefit from peer review and distributed development, which lower costs and improve quality. Significant market activity demonstrates that commercial backing is compatible with open source:

1999‑2000: 16 open‑source companies completed IPOs (COSS MEDIA data).

2018: Microsoft acquired GitHub for $7.5 billion .

2019: IBM acquired Red Hat for $34 billion , its largest acquisition to date.

2020: PingCAP (distributed SQL database) raised $2.7 billion in Series D financing.

2021: Neo4j secured $3.9 billion in Series F; Databricks announced a $16 billion Series H round.

2022: MariaDB listed on the NYSE.

These examples show that open source can accelerate product adoption, especially in cloud‑native environments, while commercial investment provides sustainable funding.

Licensing Challenges in the Cloud Era

Cloud service providers (CSPs) can offer open‑source software as a managed service without contributing back to the upstream project, creating a revenue gap for maintainers. To protect their business models, several projects have altered their licenses:

2020: Redis Labs changed the Redis Modules license from AGPL v3 to Apache v2 plus the Commons Clause, restricting CSPs from providing the modules as a service.

2021: MongoDB switched from AGPL v3 to the Server Side Public License (SSPL) , explicitly requiring SaaS providers to open‑source the service layer.

2021: Confluent revised the Apache Kafka license to forbid cloud providers from offering Kafka‑based SaaS without a commercial agreement.

2021: Elastic changed its license (from Apache 2.0 to the Elastic License) after a dispute with AWS over Elasticsearch‑as‑a‑service.

The primary driver of these changes is the conflict of interest between the open‑source ideal of unrestricted use and the cloud‑era business model that monetizes software as a service.

Emerging Licenses and Business Models

New licenses are being crafted to address SaaS‑related concerns. Notably, China’s Mulan Public License includes explicit clauses that limit distribution of the software as a SaaS offering.

Typical commercial models for open‑source software include:

Support and services – e.g., Red Hat sells enterprise‑grade support contracts.

Dual‑license – e.g., MySQL offers the same code under GPL for the community and a commercial license for proprietary use.

Subscription services – recurring fees for maintenance, updates, and premium tooling.

Open Core – core functionality is open, while advanced features are sold under a proprietary license (e.g., OceanBase).

Hosted/managed services – cloud providers host the open‑source product and charge for the managed offering.

SaaS‑like offerings – deep integration with cloud platforms to deliver end‑to‑end solutions.

Practical Guidance for Open‑Source Entrepreneurs

Successful open‑source projects require a vibrant community, transparent communication, and reliable feedback mechanisms. The following steps help balance openness with sustainable revenue:

Choose the right license : evaluate the project’s goals, the need for SaaS protection, and compatibility with downstream ecosystems.

Define a clear value proposition : identify services (support, training, consulting) or features that users are willing to pay for.

Implement a revenue model early : decide between support contracts, dual‑licensing, open‑core, hosted services, or subscription SaaS.

Build community governance : establish contribution guidelines, code‑review processes, and a transparent roadmap to keep contributors engaged.

Ensure compliance : monitor downstream usage, especially by CSPs, and enforce license terms where necessary.

Leverage cloud platforms : use cloud‑native deployment (containers, CI/CD pipelines) to increase adoption while retaining control over commercial offerings.

Maintaining an active community is often the decisive factor; as Eric Steven Raymond noted, projects fail when developers lose interest, not because of technical constraints.