sqpe.dev Contribute
← Back to research
2026 / Optimization

IMLane

IMLane: Composable Framework for Efficient AI Function Execution in Database Engine

What it contributes

Separates AI-function scheduling from the database scheduler and uses process-level execution to address Python parallelism and resource-utilization bottlenecks. The framework is integrated with OceanBase and DuckDB.

How to read the evidence

This is an execution framework for AI functions, including predictive models. Its integration with database engines does not establish semantic-operator quality guarantees.

We checked the primary publication record and abstract. This profile summarizes author-reported work; it does not claim a full-paper audit, implementation audit, or independent reproduction.

Explore the connections

ExecutionSchedulingSQL
  • UQE — UQL / SQL dialect
  • SUQL — SQL extension
  • Sema — SemaSQL / DuckDB