The text discusses the evolution of orchestration tools in data management, highlighting the confusion surrounding the term "orchestrator" and its various meanings across different tools. It notes that some people's experiences with one tool can color their perception of others, leading to biased opinions about which tools are superior. The author argues that the success of a tool depends on factors beyond features, including community support, user experience, and cost. To analyze sentiment around data orchestration tools, the author created a project using the dlt library and Dagster, comparing comments from Hacker News articles and Google Trends data. While the results are not definitive, they suggest that some tools may attract more negative comments than others. The article concludes by encouraging beginners to experiment with data orchestration tools to gain experience and challenging seasoned professionals to share their knowledge.