From Lock-In to Openness: The Shift in Data Platforms
📍 Data Makers Fest, Porto, Portugaldata engineering, data platforms, data transformation, delta lake, iceberg, Microsoft Fabric, Databricks, dbt, Fivetran, Snowflake, Google BigQuery, AWS, MotherDuck, architecture, data lakehouse, Apache Spark, DuckDB, open-source
Take a look at the marketing of any modern data platform and you’ll notice a common theme — they all emphasize their openness. But what does that really mean? What happened to the good old days of vendor lock-in? And how “open” are these platforms, really?
In this talk, we’ll take a closer look at Microsoft Fabric, Databricks, dbt + Fivetran, Snowflake, Google BigQuery, AWS, and a few exotic birds like MotherDuck. We’ll explore how these platforms position themselves, what they truly have in common, and — most importantly — how this new era of openness benefits you as a data practitioner.
There’s never been a better time to work in data!