To Build or to Buy? DIY Orchestration with Airflow vs. A Fully Managed Service
Blog post from Astronomer
Apache Airflow® is a popular open-source workflow-scheduling platform, but when used solely for data orchestration, it can be challenging to scale, manage, and maintain due to its lack of essential features such as built-in version control and CI/CD integration. While building a custom Airflow infrastructure might seem appealing to organizations with engineering prowess, it often results in high costs and complexity, diverting skilled talent from core business-focused projects. Fully managed services like Astro offer a more sustainable and pragmatic solution, providing out-of-the-box capabilities such as seamless integration with existing security infrastructures, data lineage collection, and a single control plane for managing deployments, all while maintaining compatibility with open-source standards to avoid vendor lock-in. Managed services are generally more efficient for organizations of all sizes, as they alleviate the burden of maintaining infrastructure and allow organizations to focus on innovation rather than upkeep.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Kubernetes | 3 | 1,629 | 193 | 76 | +20% |
| Data Pipeline | 1 | 401 | 80 | 35 | +41% |
| Developer Experience | 1 | 150 | 100 | 60 | -8% |
| Observability | 1 | 1,029 | 186 | 61 | +19% |
| Secrets Management | 1 | 265 | 69 | 45 | -56% |
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