These products are competing for mindshare in an incredibly saturated market. There are a lot of was to skin the data pipeline cat. I think a lot of companies

These products are competing for mindshare in an incredibly saturated market. There are a lot of was to skin the data pipeline cat. I think a lot of companies already founded data engineering teams, all of whom have established tech-stacks for data engineering tasks. Personally, I keep an eye out on new technologies, but I'm not likely to embrace them without good reason. A fragmented tech stack is annoying. This looks an awful lot like Spark to me. And doesn't seem to really solve the problems I typically experience with data engineering. For me, the biggest issue is orchestration. I don't see any facilities here for managing and executing data pipelines. So, it seems to me that people aren't using dataflow more because it looks a lot like legacy products on the market. And it doesn't solve the massive problem of job orchestration and management. Apache Airflow + python + BigQuery is immensely powerful and dead simple to use. It's going to be hard to compete with.