At Statsig, we've addressed the open-source versus paid Saas trend by providing both open-source and cloud-hosted solutions, ensuring that we cater to the diverse needs of developers, from hobbyists to large enterprises. But how and why does our approach stand out, especially when compared to fully open-source solutions?
Open source refers to software whose source code is available for modification, and can be used or enhanced by anyone.
This model promotes collaboration and transparency, leading to innovative and reliable software solutions. The industry has seen a significant shift towards open source, especially in development tools, as it allows developers to tailor tools to their specific needs.
At Statsig, we take a hybrid approach to this debate.
We're proud to say that our SDKs are fully open-source. This choice reflects our commitment to transparency and community engagement, allowing developers to see how our tools work under the hood and contribute to their improvement.
Not everything we do is open source. This decision is driven by our focus on scalability, reliability, and providing a seamless experience for larger teams and organizations. For instance, our advanced features and the infrastructure that supports our cloud-hosted solutions are proprietary.
This ensures we can offer the robustness, support, and security our enterprise clients require.
Our commitment to open source plays a crucial role in offering free feature gates. These flags allow developers to control who gets access to new features and when, providing a crucial tool for testing and iteration without the overhead of managing the infrastructure.
Choosing between fully open-source self-hosting and a platform like Statsig isn't just about the software. It's about the operational overhead, the need for dedicated engineering teams, and the flexibility to scale.
Fully self-hosting an open-source solution can be daunting. It often requires a dedicated team of engineers for operation and iteration, making it less than ideal for many organizations.
Statsig, however, offers the best of both worlds. Our SDKs provide a lightweight, open-source feature flagging solution that can be easily integrated and scaled.
We offer flexibility in operational involvement, from data adapters for Vercel and Cloudflare integrations to cloud-based and warehouse native options for experimentation hosting, for example.
📖 Related reading: The differences between cloud-hosted Saas versus open-source experimentation platforms.
At the end of the day, the most important factor is choosing a platform that fits your team's needs.
Statsig's model provides unparalleled flexibility, allowing you to start with a simple, open-source SDK and scale up to a full-featured, cloud-hosted solution as your needs evolve.
We believe that embracing open source without compromising on scalability is the future of software development tools. By offering a platform that supports this vision, Statsig stands out as a champion for developers at every stage of their journey.
Standard deviation and variance are essential for understanding data spread, evaluating probabilities, and making informed decisions. Read More ⇾
We’ve expanded our SRM debugging capabilities to allow customers to define custom user dimensions for analysis. Read More ⇾
Detect interaction effects between concurrent A/B tests with Statsig's new feature to ensure accurate experiment results and avoid misleading metric shifts. Read More ⇾
Statsig's biggest year yet: groundbreaking launches, global events, record scaling, and exciting plans for 2025. Explore our 2024 milestones and what’s next! Read More ⇾
A guide to reporting A/B test results: What are common mistakes and how can you make sure to get it right? Read More ⇾
This guide explains why the allocation point may differ from the exposure point, how it happens, and what you to do about it. Read More ⇾