Turning the database inside out again: What if everything was Iceberg?

Over a decade ago, Martin Kleppmann's Turning the Database Inside Out reshaped how we think about data systems, putting the event stream at the heart of storage and computation. That vision inspired a generation of systems built atop Kafka, Flink, and event-driven materializations.

But what if we never finished what Martin started?

This talk takes the next leap, reimagining not just the transaction log, but the entire database through the lens of streaming. We'll keep Kafka as our canonical source of truth, but enrich it with the missing primitives: long-term storage, indexes, and projections. To achieve this, we'll move beyond Kafka's simple produce/consume model and embrace Apache Iceberg as the new foundation for durable, queryable event data.

This architecture collapses the fragile ETL sprawl and unifies real-time and historical data into a single, coherent system. Answering questions from "what's happening right now?" all the way back to "what happened at the beginning of time?".

You'll leave seeing the database (and the stream) in a whole new light.

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