Are Self-Healing Data Pipelines Just a Marketing Gimmick in 2026?

I'm curious if anyone has actually found a self-healing data pipeline tool that truly works in 2026 or if it's all just hype. It seems like every vendor is tossing around the term "self-healing pipelines" in their marketing, but in my experience, my pipelines are anything but self-healing. We use Airflow to manage about 40 DAGs across multiple sources, and whenever something goes wrong—which happens at least once a week—there's a lengthy process of manual investigations. We have to identify changes, tweak the code, run tests, and redeploy. To me, that sounds closer to traditional healing with extra hurdles.

I understand there's a range of functionality out there. Most tools might offer features like automatic retries, which is just basic error management, not what I consider healing. Some claim they can handle API changes automatically, but I doubt their effectiveness, especially when vendors make significant changes to their API endpoints. The biggest headache for us is when a SaaS provider alters their API schema or deprecates an endpoint, which triggers around 80% of our issues. If a tool could actually detect such changes and adapt on its own, without needing a human to step in, that could be worth the investment.