![]() ![]() With Tableau’s “Live Mode” misbehaving in intricate ways at the time (I won’t get into this!), we were steered towards using Tableau Extracts. More specifically for Superset, the main driver to start the project at the time was the fact that Tableau (a self service bi platform and our main data visualization solution at the time) couldn’t connect natively to Apache Druid and Trino / Presto, our data engines of choice that provided the properties and guaranties that we needed to satisfy our data use cases. Give power to users who wanted to satisfy their more advanced use casesĪs it is often the case with open source, the capacity to integrate and to extend were always at the core of how we approached the architecture of those two projects.Keep up with the pace of innovation in the data ecosystem.Looking back, the main reason why I originally created both Apache Airflow and Apache Superset while I was at Airbnb in 2014-17 is because the vendors in the data space were failing to: For those reasons, it is not surprising that it has taken over most of the modern data stack: infrastructure, data warehouses, databases, orchestration, data processing, AI/ML and beyond. ![]() Simply put, open source is a superior approach at building and distributing software because it provides important guaranties around how software can be discovered, tried, operated, collaborated on and packaged. While “software is eating the world”, it’s also clear that open source is taking over software.
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