Aura AI
ML Functions
Build and run intelligent ML models right next to your data
ML Functions enable running custom machine learning models directly in SingleStore using SQL. Train, deploy, and execute predictive models on live data without complex MLOps pipelines or data movement.
No-ETL, No-Notebook workflow
A guided user interface for model training that generates declarative SQL commands, abstracting away the complexities of data preparation and model selection.
Auto-scaling
Containers scale based on workload automatically, handling sudden spikes in prediction volume without manual intervention.
In-database execution
Models execute directly alongside your data in SingleStore Helios, eliminating network latency and data serialization overhead.
Secure isolation
Role-based access control ensures model access is restricted to authorized users and applications.
ML Functions allow you to train, deploy, and serve custom machine learning models directly in the Aura container platform co-located with Singlestore database. professionals.
Unlock ML Functions
Uncover insights instantly — no external setup required.