Do We Still Need People to Write Database Systems?

Database management systems (DBMSs) are complex software. They are typically worked on by an elite few seasoned in writing performant code that requires strict correctness guarantees. But there is a new trend toward replacing traditional, hand-optimized DBMS components with “learned” components that rely on machine learning (ML). Such learned components include index data structures, query optimizers, and configuration managers. Proponents of ML methods argue that they reduce the engineering overhead of DBMSs.

This talk discusses recent advancements in both human-devised DBMS optimizations and learned DBMS components, and covers both academic research and real-world implementations.

Download PDF

Ready to Get Started? Here Are Some Resources to Help


Smart Data – Smart Factory with Octotronic and Dremio

read more


What Is a Data Lakehouse?

The data lakehouse is a new architecture that combines the best parts of data lakes and data warehouses. Learn more about the data lakehouse and its key advantages.

read more
Simplifying Data Mesh Featured Image


Simplifying Data Mesh for Self-Service Analytics on an Open Data Lakehouse

The adoption of data mesh as a decentralized data management approach has become popular in recent years, helping teams overcome challenges associated with centralized data architecture.

read more

Get Started Free

No time limit - totally free - just the way you like it.

Sign Up Now

See Dremio in Action

Not ready to get started today? See the platform in action.

Watch Demo

Talk to an Expert

Not sure where to start? Get your questions answered fast.

Contact Us